From 2bbd5f0cc4934adde587b5a8852c7aa948c61b28 Mon Sep 17 00:00:00 2001
From: Gael <Gael@WL20-0067.corp.pasteur.fr>
Date: Wed, 14 Oct 2020 21:04:30 +0200
Subject: [PATCH] scatter_examples done, fun_gg_scatter() debugged, fun_check()
also
---
boxplot_examples.R | 137 +-
cute_little_R_functions.R | 4257 +---------------------------------
cute_little_R_functions.docx | Bin 460609 -> 460702 bytes
fun_gg_boxplot.docx | Bin 105276 -> 105393 bytes
fun_gg_scatter.docx | Bin 120564 -> 114104 bytes
scatter_examples.R | 457 ++--
6 files changed, 355 insertions(+), 4496 deletions(-)
diff --git a/boxplot_examples.R b/boxplot_examples.R
index c0886c5..ad322d2 100644
--- a/boxplot_examples.R
+++ b/boxplot_examples.R
@@ -26,25 +26,47 @@ fun_gg_boxplot(data1 = obs1[1:20, ], y = "Time", categ = c("Categ1", "Categ2"))
### Changing the order of the boxes
# separate boxes
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", categ.class.order = list(c("DOG", "CAT")))
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+categ.class.order = list(c("DOG", "CAT"))
+)
# grouped boxes
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), categ.class.order = list(c("DOG", "CAT"), c("D", "C", "B", "A")))
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"),
+categ.class.order = list(c("DOG", "CAT"), c("D", "C", "B", "A"))
+)
### Box color
# Using a single color value
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", categ.color = "coral")
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+categ.color = "coral"
+)
# Using one color value par class of Categ1
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", categ.color = c("coral", "lightblue"))
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+categ.color = c("coral", "lightblue")
+)
# Using a vector of color values (e.g., data frame column), with respect of the correspondence between Categ1 and box.color columns
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", categ.color = obs1$Color1)
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+categ.color = obs1$Color1
+)
# Using integers instead of color strings
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", categ.color = 1)
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", categ.color = 1:2)
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", categ.color = as.numeric(obs1$Color1))
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+categ.color = 1
+)
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+categ.color = 1:2
+)
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+categ.color = as.numeric(obs1$Color1)
+)
# With grouped boxes, we generate the same effects but for the second category
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), categ.color = "coral")
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), categ.color = 1:4)
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), categ.color = obs1$Color2)
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"),
+categ.color = "coral"
+)
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"),
+categ.color = 1:4
+)
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"),
+categ.color = obs1$Color2
+)
### Other parameters of boxes
fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
@@ -60,23 +82,49 @@ box.whisker.kind = "max",
box.whisker.width = 0.5 # between 0 (no whisker extremities) and 1 (whisker extremities the width of the boxes)
)
+### Box removal
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+box.alpha = 0
+)
+
+
### Dot colors
# Dot removal
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", dot.color = NULL)
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+dot.color = NULL
+)
# Same color as the boxes
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", dot.color = "same")
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+dot.color = "same"
+)
# Single color sting
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", dot.color = "green") # a single integer also works
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+dot.color = "green" # a single integer also works
+)
# Same number of Categ1 classes
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", dot.color = c("green", "brown")) # test also 1:2 (result is idem as "same")
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+dot.color = c("green", "brown") # test also 1:2 (result is idem as "same")
+)
# Using a vector of color values of the same length as the number of rows in data1 (e.g., data frame column). No correspondence with Categ1 classes is required
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", dot.color = 1:nrow(obs1))
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+dot.color = 1:nrow(obs1)
+)
# With grouped boxes, we generate the same effects but for the second category
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), dot.color = NULL)
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), dot.color = "same")
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), dot.color = "green") # a single integer also works
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), dot.color = c("green", "brown", "red", "blue")) # test also 1:2 (result is idem as "same")
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), dot.color = 1:nrow(obs1))
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"),
+dot.color = NULL
+)
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"),
+dot.color = "same"
+)
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"),
+dot.color = "green" # a single integer also works
+)
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"),
+dot.color = c("green", "brown", "red", "blue") # test also 1:2 (result is idem as "same")
+)
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"),
+dot.color = 1:nrow(obs1)
+)
### Legend for dots
fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
@@ -90,25 +138,33 @@ dot.legend.name = "ANIMAL GROUP"
fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
dot.tidy = TRUE,
dot.tidy.bin.nb = 50, # from 0 to Inf. Only if dot.tidy = TRUE
-dot.jitter = 0.5 # from 0 to 1. Only if dot.tidy = FALSE
+dot.jitter = 0.5, # from 0 to 1. Only if dot.tidy = FALSE
+dot.seed = 55 # if the dot shuffling is not satisfying, test another integer.Ssee below an example with dot.seed = NULL
)
### Other parameters of dots
fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-dot.categ = "Categ2", # to see the dot legend
dot.color = c("green", "brown", "red", "blue"),
+dot.categ = "Categ2", # to see the dot legend
dot.size = 5, # ignored if dot.tidy = TRUE
dot.alpha = 0.3,
dot.border.size = 2,
-dot.border.color = "green",
+dot.border.color = "green"
)
-### X-axis parameter
+### Reshuffling of dots
fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-x.lab = "ANIMALS"
+dot.seed = NULL # rerun several times, and test the same with dot.seed = 1 for instance
)
-### Y-axis parameter
+
+### X-axis parameters
+fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+x.lab = "ANIMALS",
+x.angle = 90
+)
+
+### Y-axis parameters
fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
y.lab = "SIZE",
y.lim = c(1000, 0.1), # order matters
@@ -125,7 +181,8 @@ fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
stat.disp = "above", # try "top"
stat.disp.mean = FALSE,
stat.size = 4,
-stat.dist = 2
+stat.dist = 2,
+stat.angle = 90
)
### Plot orientation
@@ -136,8 +193,7 @@ vertical = FALSE # with log2 and log10 scales, horizontal orientation is blocked
### Text management
fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-text.size = 20,
-x.angle = 90
+text.size = 20
)
### Title
@@ -148,7 +204,7 @@ title.text.size = 20
### Management of the legend area
fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-legend.show = FALSE, # remove the legend, not the area of the legend
+legend.show = FALSE, # FALSE remove the legend, not the area of the legend
legend.width = 1 # between 0 (no area for the legend) to 1 (half the device width for the legend area). Use NULL for default management
)
@@ -164,15 +220,15 @@ add = "+ggplot2::theme_classic()"
)
fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
add = "+ggplot2::facet_wrap(facets = 'Categ2', labeller = 'label_both') + ggplot2::theme(strip.background = ggplot2::element_rect(color = 'grey', size = 0.5), strip.text = ggplot2::element_text(size = 10, face = 'bold'), panel.spacing = ggplot2::unit(0.5, 'lines'))" # or ggplot2::vars(Categ2) instead of 'Categ2'. See https://ggplot2.tidyverse.org/reference/labeller.html
-)
+) # use legend.show = FALSE, legend.width = 0 to remove the legend area
### Other parameters
res <- fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-return = TRUE,
+return = TRUE, # output returned (and assigned into res)
return.ggplot = TRUE,
return.gtable = FALSE,
-plot = FALSE,
+plot = FALSE, # no plot displayed
warn.print = FALSE,
lib.path = NULL
)
@@ -180,19 +236,22 @@ lib.path = NULL
fun_open(pdf = FALSE)
res$ggplot
-# display the output (manipulation of res triggers plotting because of the presence of non NULL $ggplot, which is annoying, as explain in the function description)
+# The advantage of $ggplot is that it is easy to update the plot
+res$ggplot + ggplot2::annotate(geom = "text", x = 1.5, y = 400, label = "NOT GOOD", size = 20, angle = 45)
+
+# However, manipulation of res triggers plotting because of the presence of non NULL $ggplot, which is annoying, as explain in the function description. Thus, it is preferable to use return.ggplot = FALSE
fun_open(pdf = FALSE)
res
-# The advantage of $ggplot is that it is easy to update the plot
+
### Notes about the gtable output
res2 <- fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
return = TRUE,
return.ggplot = FALSE,
-return.gtable = TRUE,
-plot = TRUE, # plot must be TRUE to have a non NULL $gtable output
+return.gtable = TRUE, # return.gtable must be TRUE to have a non NULL $gtable output into res2
+plot = TRUE, # plot must be TRUE to have a non NULL $gtable output into res2
warn.print = FALSE,
lib.path = NULL
)
@@ -203,7 +262,7 @@ res2
# replot
fun_open(pdf = FALSE)
-gridExtra::grid.arrange(res2$gtable)
+gridExtra::grid.arrange(res2$gtable) # Contrary to $ggplot, $gtable cannot be easily updated (see https://stackoverflow.com/questions/26499608/inverse-of-ggplotgrob)
# plot the first grob
fun_open(pdf = FALSE)
gridExtra::grid.arrange(res2$gtable[1,1])
diff --git a/cute_little_R_functions.R b/cute_little_R_functions.R
index 6dd1ce5..888b67e 100644
--- a/cute_little_R_functions.R
+++ b/cute_little_R_functions.R
@@ -298,7 +298,7 @@ if( ! is.null(options)){
text <- ""
if( ! all(data %in% options, na.rm = TRUE)){
problem <- TRUE
-text <- paste0(ifelse(is.null(fun.name), "ERROR", paste0("ERROR IN ", fun.name)), ": THE ", data.name, " PARAMETER MUST BE SOME OF THESE OPTIONS: ", paste(options, collapse = " "), "\nTHE PROBLEMATIC ELEMENTS OF data ARE: ", paste(unique(data[ ! (data %in% options)]), collapse = " "))
+text <- paste0(ifelse(is.null(fun.name), "ERROR", paste0("ERROR IN ", fun.name)), ": THE ", data.name, " PARAMETER MUST BE SOME OF THESE OPTIONS: ", paste(options, collapse = " "), "\nTHE PROBLEMATIC ELEMENTS OF ", data.name, " ARE: ", paste(unique(data[ ! (data %in% options)]), collapse = " "))
}
if(all.options.in.data == TRUE){
if( ! all(options %in% data)){ # no need of na.rm = TRUE for all because %in% does not output NA
@@ -5416,7 +5416,7 @@ fun_gg_get_legend <- function(ggplot_built, fun.name = NULL, lib.path = NULL){
# # from https://stackoverflow.com/questions/12539348/ggplot-separate-legend-and-plot
# ARGUMENTS
# ggplot_built: a ggplot build object
-# fun.name: single character string indicating the name of the function using fun_gg_get_legend(). Ignored if NULL
+# fun.name: single character string indicating the name of the function using fun_gg_get_legend() for warning and error messages. Ignored if NULL
# lib.path: character vector specifying the absolute pathways of the directories containing the required packages if not in the default directories. Ignored if NULL
# RETURN
# a list of class c("gtable", "gTree", "grob", "gDesc"), providing legend information of ggplot_built objet, or NULL if the ggplot_built object has no legend
@@ -8282,4256 +8282,3 @@ return(output) # do not use cat() because the idea is to reuse the message
-# add the new NA and NULL: remain all (slitherine, cute, anova, comat)
-# complete the fun_check(): slitherine anova, comat
-
-fun_gg_boxplot <- function(
-data1,
-y,
-categ,
-categ.class.order = NULL,
-categ.color = NULL,
-box.legend.name = NULL,
-box.fill = FALSE,
-box.width = 0.5,
-box.space = 0.1,
-box.line.size = 0.75,
-box.notch = FALSE,
-box.alpha = 1,
-box.mean = TRUE,
-box.whisker.kind = "std",
-box.whisker.width = 0,
-dot.color = grey(0.25),
-dot.categ = NULL,
-dot.categ.class.order = NULL,
-dot.legend.name = NULL,
-dot.tidy = FALSE,
-dot.tidy.bin.nb = 50,
-dot.jitter = 0.5,
-dot.size = 3,
-dot.alpha = 0.5,
-dot.border.size = 0.5,
-dot.border.color = NULL,
-dot.seed = 2,
-x.lab = NULL,
-x.angle = 0,
-y.lab = NULL,
-y.lim = NULL,
-y.log = "no",
-y.tick.nb = NULL,
-y.second.tick.nb = 1,
-y.include.zero = FALSE,
-y.top.extra.margin = 0.05,
-y.bottom.extra.margin = 0.05,
-stat.disp = "top",
-stat.disp.mean = FALSE,
-stat.size = 4,
-stat.dist = 5,
-stat.angle = 0,
-vertical = TRUE,
-text.size = 12,
-title = "",
-title.text.size = 8,
-legend.show = TRUE,
-legend.width = 0.5,
-article = TRUE,
-grid = FALSE,
-return = FALSE,
-return.ggplot = FALSE,
-return.gtable = TRUE,
-plot = TRUE,
-add = NULL,
-warn.print = FALSE,
-lib.path = NULL
-){
-# AIM
-# plot ggplot2 boxplots + dots + means
-# for ggplot2 specifications, see: https://ggplot2.tidyverse.org/articles/ggplot2-specs.html
-# WARNINGS
-# Rows containing NA in data1[, c(y, categ)] will be removed before processing, with a warning (see below)
-# Hinges are not computed like in the classical boxplot() function of R. See https://ggplot2.tidyverse.org/reference/geom_boxplot.html
-# To have a single box, please create a factor column with a single class and specify the name of this column in the categ argument. For a single set of grouped boxes, create a factor column with a single class and specify this column in categ argument as first element (i.e., as categ1, knowing that categ2 must also be specified in this situation). See categ argument below
-# The dot.alpha argument can alter the display of the color boxes when using pdf output
-# Size arguments (box.line.size, dot.size, dot.border.size, stat.size, text.size and title.text.size) are in mm. See Hadley comment in https://stackoverflow.com/questions/17311917/ggplot2-the-unit-of-size. See also http://sape.inf.usi.ch/quick-reference/ggplot2/size). Unit object are not accepted, but conversion can be used (e.g., grid::convertUnit(grid::unit(0.2, "inches"), "mm", valueOnly = TRUE))
-# Display seems to be done twice on Windows devices (like a blink). However, no double plots on pdf devices. Thus, the blink remains mysterious
-# To remove boxes and have only dots, use box.alpha = 0
-# ARGUMENTS
-# data1: data frame containing one column of quantitative values (see the y argument below) and one or two columns of categories (see the categ argument below). Duplicated column names are not allowed
-# y: character string of the data1 column name for y-axis (column containing numeric values). Numeric values will be split according to the classes of the column names indicated in the categ argument to generate the boxes and will also be used to plot the dots
-# categ: vector of character strings of the data1 column name for categories (column of characters or factors). Must be either one or two column names. If a single column name (further referred to as categ1), then one box per class of categ1. If two column names (further referred to as categ1 and categ2), then one box per class of categ2, which form a group of boxes in each class of categ1. WARNING: no empty classes allowed. To have a single box, create a factor column with a single class and specify the name of this column in the categ argument (here, no categ2 in categ argument). For a single set of grouped boxes, create a factor column with a single class and specify this column in categ argument as first element (i.e., as categ1), in addition to the already used category (as categ2 in this situation)
-# categ.class.order: list indicating the order of the classes of categ1 and categ2 represented on the boxplot (the first compartment for categ1 and and the second for categ2). If categ.class.order == NULL, classes are represented according to the alphabetical order. Some compartments can be NULL and others not. See the categ argument for categ1 and categ2 description
-# categ.color: vector of color character string for box frames (see the categ argument for categ1 and categ2 description)
-# If categ.color == NULL, default colors of ggplot2, whatever categ1 and categ2
-# If categ.color is non-null and only categ1 in categ argument, categ.color can be either:
-# (1) a single color string. All the boxes will have this color, whatever the number of classes of categ1
-# (2) a vector of string colors, one for each class of categ1. Each color will be associated according to categ.class.order of categ1
-# (3) a vector or factor of string colors, like if it was one of the column of data1 data frame. WARNING: a single color per class of categ1 and a single class of categ1 per color must be respected
-# Integers are also accepted instead of character strings, as long as above rules about length are respected. Integers will be processed by fun_gg_palette() using the maximal integer value among all the integers in categ.color (see fun_gg_palette())
-# If categ.color is non-null and categ1 and categ2 are specified, all the rules described above will apply to categ2 instead of categ1 (colors will be determined for boxes inside a group of boxes)
-# box.legend.name: character string of the legend title. If box.legend.name is NULL, then box.legend.name <- categ1 if only categ1 is present, and box.legend.name <- categ2 if categ1 and categ2 are present in the categ argument. Write "" if no legend required. See the categ argument for categ1 and categ2 description
-# box.fill: logical. Fill the box? If TRUE, the categ.color argument will be used to generate filled boxplots (the box frames being black) as well as filled outlier dots (the dot border being controlled by the dot.border.color argument). If all the dots are plotted (argument dot.color other than NULL), they will be over the boxes. If FALSE, the categ.color argument will be used to color the box frames and the outlier dot borders. If all the dots are plotted, they will be beneath the boxes
-# box.width: single numeric value (from 0 to 1) of width of either boxes or group of boxes
-# When categ argument has a single categ1 element (i.e., separate boxes. See the categ argument for categ1 and categ2 description), then each class of categ1 is represented by a single box. In that case, box.width argument defines each box width, from 0 (no box width) to 1 (max box width), but also the space between boxes (the code uses 1 - box.width for the box spaces). Of note, xmin and xmax of the fun_gg_boxplot() output report the box boundaries (around x-axis unit 1, 2, 3, etc., for each box)
-# When categ argument has a two categ1 and categ2 elements (i.e., grouped boxes), box.width argument defines the width allocated for each set of grouped boxes, from 0 (no group width) to 1 (max group width), but also the space between grouped boxes (the code uses 1 - box.width for the spaces). Of note, xmin and xmax of the fun_gg_boxplot() output report the box boundaries (around x-axis unit 1, 2, 3, etc., for each set of grouped box)
-# box.space: single numeric value (from 0 to 1) indicating the box separation inside grouped boxes, when categ argument has a two categ1 and categ2 elements. 0 means no space and 1 means boxes shrunk to a vertical line. Ignored if categ argument has a single categ1 element
-# box.line.size: single numeric value of line width of boxes and whiskers in mm
-# box.notch: logical. Notched boxplot? It TRUE, display notched boxplot, notches corresponding approximately to the 95% confidence interval of the median (the notch interval is exactly 1.58 x Inter Quartile Range (IQR) / sqrt(n), with n the number of values that made the box). If notch intervals between two boxes do not overlap, it can be interpreted as significant median differences
-# box.alpha: single numeric value (from 0 to 1) of box transparency (full transparent to full opaque, respectively). To remove boxplots, use box.alpha = 0
-# box.mean: logical. Add mean value? If TRUE, a diamond-shaped dot, with the horizontal diagonal corresponding to the mean value, is displayed over each boxplot
-# box.whisker.kind: range of the whiskers. Either "no" (no whiskers), or "std" (length of each whisker equal to 1.5 x Inter Quartile Range (IQR)), or "max" (length of the whiskers up or down to the most distant dot)
-# box.whisker.width: single numeric value (from 0 to 1) of the whisker width, with 0 meaning no whiskers and 1 meaning a width equal to the box width
-# dot.color: vector of color character string ruling the dot colors and the dot display. See the example section below for easier understanding of the rules described here
-# If NULL, no dots plotted
-# If "same", the dots will have the same colors as the respective boxplots
-# Otherwise, as in the rule (1), (2) or (3) described in the categ.color argument, except that in the possibility (3), the rule "a single color per class of categ and a single class of categ per color", does not have to be respected (for instance, each dot can have a different color). Colors will also depend on the dot.categ argument. If dot.categ is NULL, then colors will be applied to each class of the last column name specified in categ. If dot.categ is non-NULL, colors will be applied to each class of the column name specified in dot.categ. See examples
-# dot.categ: optional single character string of a column name (further referred to as categ3) of the data1 argument. This column of data1 will be used to generate a legend for dots, in addition to the legend for boxes. See the dot.color argument for details about the way the legend is built using the two dot.categ and dot.color arguments. If NULL, no legend created and the colors of dots will depend on dot.color and categ arguments (as explained in the dot.color argument)
-# dot.categ.class.order: optional vector of character strings indicating the order of the classes of categ3 (see the dot.categ argument). If dot.categ is non-NULL and dot.categ.class.order is NULL, classes are displayed in the legend according to the alphabetical order. Ignored if dot.categ is NULL
-# dot.legend.name: optional character string of the legend title for categ3 (see the dot.categ argument). If dot.legend.name == NULL, dot.categ value is used (name of the column in data1). Write "" if no legend required. Ignored if dot.categ is NULL
-# dot.tidy: logical. Nice dot spreading? If TRUE, use the geom_dotplot() function for a nice representation. WARNING: change the true quantitative coordinates of dots (i.e., y-axis values for vertical display) because of binning. Thus, the gain in aestheticism is associated with a loss in precision that can be very important. If FALSE, dots are randomly spread on the qualitative axis, using the dot.jitter argument (see below) keeping the true quantitative coordinates
-# dot.tidy.bin.nb: positive integer indicating the number of bins (i.e., nb of separations) of the y.lim range. Each dot will then be put in one of the bin, with a diameter of the width of the bin. In other words, increase the number of bins to have smaller dots. Not considered if dot.tidy is FALSE
-# dot.jitter: numeric value (from 0 to 1) of random dot horizontal dispersion (for vertical display), with 0 meaning no dispersion and 1 meaning dispersion in the corresponding box width interval. Not considered if dot.tidy is TRUE
-# dot.size: numeric value of dot diameter in mm. Not considered if dot.tidy is TRUE
-# dot.alpha: numeric value (from 0 to 1) of dot transparency (full transparent to full opaque, respectively)
-# dot.border.size: numeric value of border dot width in mm. Write zero for no dot border. If dot.tidy is TRUE, value 0 remove the border and other values leave the border without size control (geom_doplot() feature)
-# dot.border.color: single character color string defining the color of the dot border (same color for all the dots, whatever their categories). If dot.border.color == NULL, the border color will be the same as the dot color. A single integer is also accepted instead of a character string, that will be processed by fun_gg_palette()
-# dot.seed: integer value that set the random seed. Using the same number will generate the same dot jittering. Write NULL to have different jittering each time the same instruction is run. Ignored if dot.tidy is TRUE
-# x.lab: a character string or expression for x-axis legend. If NULL, character string of categ1 (see the categ argument for categ1 and categ2 description)
-# x.angle: integer value of the text angle for the x-axis numbers, using the same rules as in ggplot2. Positive values for counterclockwise rotation: 0 for horizontal, 90 for vertical, 180 for upside down etc. Negative values for clockwise rotation: 0 for horizontal, -90 for vertical, -180 for upside down etc.
-# y.lab: a character string or expression for y-axis legend. If NULL, character string of the y argument
-# y.lim: 2 numeric values indicating the range of the y-axis. Order matters (for inverted axis). If NULL, the range of the x column name of data1 will be used.
-# y.log: either "no", "log2" (values in the y argument column of the data1 data frame will be log2 transformed and y-axis will be log2 scaled) or "log10" (values in the y argument column of the data1 data frame will be log10 transformed and y-axis will be log10 scaled). WARNING: not possible to have horizontal boxes with a log axis, due to a bug in ggplot2 (see https://github.com/tidyverse/ggplot2/issues/881)
-# y.tick.nb: approximate number of desired values labeling the y-axis (i.e., main ticks, see the n argument of the the cute::fun_scale() function). If NULL and if y.log is "no", then the number of labeling values is set by ggplot2. If NULL and if y.log is "log2" or "log10", then the number of labeling values corresponds to all the exposant integers in the y.lim range (e.g., 10^1, 10^2 and 10^3, meaning 3 main ticks for y.lim = c(9, 1200)). WARNING: if non-NULL and if y.log is "log2" or "log10", labeling can be difficult to read (e.g., ..., 10^2, 10^2.5, 10^3, ...)
- # y.second.tick.nb: number of desired secondary ticks between main ticks. Ignored if y.log is other than "no" (log scale plotted). Use argument return = TRUE and see $plot$y.second.tick.values to have the values associated to secondary ticks. IF NULL, no secondary ticks
-# y.include.zero: logical. Does y.lim range include 0? Ignored if y.log is "log2" or "log10"
-# y.top.extra.margin: single proportion (between 0 and 1) indicating if extra margins must be added to y.lim. If different from 0, add the range of the axis multiplied by y.top.extra.margin (e.g., abs(y.lim[2] - y.lim[1]) * y.top.extra.margin) to the top of y-axis
-# y.bottom.extra.margin: idem as y.top.extra.margin but to the bottom of y-axis
-# stat.disp: add the median number above the corresponding box. Either NULL (no number shown), "top" (at the top of the plot region) or "above" (above each box)
-# stat.disp.mean: logical. Display mean numbers instead of median numbers? Ignored if stat.disp is NULL
-# stat.size: numeric value of the stat font size in mm. Ignored if stat.disp is NULL
-# stat.dist: numeric value of the stat distance in percentage of the y-axis range (stat.dist = 5 means move the number displayed at 5% of the y-axis range). Ignored if stat.disp is NULL or "top"
-# stat.angle: integer value of the angle of stat, using the same rules as in ggplot2. Positive values for counterclockwise rotation: 0 for horizontal, 90 for vertical, 180 for upside down etc. Negative values for clockwise rotation: 0 for horizontal, -90 for vertical, -180 for upside down etc.
-# vertical: logical. Vertical boxes? WARNING: will be automatically set to TRUE if y.log argument is other than "no". Indeed, not possible to have horizontal boxes with a log axis, due to a bug in ggplot2 (see https://github.com/tidyverse/ggplot2/issues/881)
-# text.size: numeric value of the font size of the (1) axis numbers, (2) axis labels and (3) texts in the graphic legend (in mm)
-# title: character string of the graph title
-# title.text.size: numeric value of the title font size in mm
-# legend.show: logical. Show legend? Not considered if categ argument is NULL, because this already generate no legend, excepted if legend.width argument is non-NULL. In that specific case (categ is NULL, legend.show is TRUE and legend.width is non-NULL), an empty legend space is created. This can be useful when desiring graphs of exactly the same width, whatever they have legends or not
-# legend.width: single proportion (between 0 and 1) indicating the relative width of the legend sector (on the right of the plot) relative to the width of the plot. Value 1 means that the window device width is split in 2, half for the plot and half for the legend. Value 0 means no room for the legend, which will overlay the plot region. Write NULL to inactivate the legend sector. In such case, ggplot2 will manage the room required for the legend display, meaning that the width of the plotting region can vary between graphs, depending on the text in the legend
-# article: logical. If TRUE, use an article theme (article like). If FALSE, use a classic related ggplot theme. Use the add argument (e.g., add = "+ggplot2::theme_classic()" for the exact classic ggplot theme
-# grid: logical. Draw lines in the background to better read the box values? Not considered if article == FALSE (grid systematically present)
-# return: logical. Return the graph parameters?
-# return.ggplot: logical. Return the ggplot object in the output list? Ignored if return argument is FALSE. WARNING: always assign the fun_gg_boxplot() function (e.g., a <- fun_gg_boxplot()) if return.ggplot argument is TRUE, otherwise, double plotting is performed. See $ggplot in the RETURN section below for more details
-# return.gtable: logical. Return the ggplot object as gtable of grobs in the output list? Ignored if plot argument is FALSE. Indeed, the graph must be plotted to get the grobs dispositions. See $gtable in the RETURN section below for more details
-# plot: logical. Plot the graphic? If FALSE and return argument is TRUE, graphical parameters and associated warnings are provided without plotting
-# add: character string allowing to add more ggplot2 features (dots, lines, themes, facet, etc.). Ignored if NULL
-# WARNING: (1) the string must start with "+", (2) the string must finish with ")" and (3) each function must be preceded by "ggplot2::". Example: "+ ggplot2::coord_flip() + ggplot2::theme_bw()"
-# If the character string contains the "ggplot2::theme" string, then the article argument of fun_gg_boxplot() (see above) is ignored with a warning
-# Handle the add argument with caution since added functions can create conflicts with the preexisting internal ggplot2 functions
-# WARNING: the call of objects inside the quotes of add can lead to an error if the name of these objects are some of the fun_gg_scatter() arguments. Indeed, the function will use the internal argument instead of the global environment object. Example article <- "a" in the working environment and add = '+ ggplot2::ggtitle(article)'. The risk here is to have TRUE as title. To solve this, use add = '+ ggplot2::ggtitle(get("article", envir = .GlobalEnv))'
-# warn.print: logical. Print warnings at the end of the execution? ? If FALSE, warning messages are never printed, but can still be recovered in the returned list. Some of the warning messages (those delivered by the internal ggplot2 functions) are not apparent when using the argument plot = FALSE
-# lib.path: character string indicating the absolute path of the required packages (see below). if NULL, the function will use the R library default folders
-# REQUIRED PACKAGES
-# ggplot2
-# gridExtra
-# lemon (if used in the add argument)
-# scales
-# REQUIRED FUNCTIONS FROM THE cute PACKAGE
-# fun_check()
-# fun_comp_1d()
-# fun_comp_2d()
-# fun_gg_just()
-# fun_gg_palette()
-# fun_inter_ticks()
-# fun_name_change()
-# fun_pack()
-# fun_round()
-# fun_scale()
-# RETURN
-# a boxplot if plot argument is TRUE
-# a list of the graph info if return argument is TRUE:
-# $data: the initial data with graphic information added
-# $stat: the graphic statistics (mostly equivalent to ggplot_build()$data[[2]])
-# $removed.row.nb: which rows have been removed due to NA/Inf detection in y and categ columns (NULL if no row removed)
-# $removed.rows: removed rows (NULL if no row removed)
-# $plot: the graphic box and dot coordinates
-# $dots: dot coordinates
-# $main.box: coordinates of boxes
-# $median: median coordinates
-# $sup.whisker: coordinates of top whiskers (y for base and y.end for extremities)
-# $inf.whisker: coordinates of bottom whiskers (y for base and y.end for extremities)
-# $sup.whisker.edge: coordinates of top whisker edges (x and xend)
-# $inf.whisker.edge: coordinates of bottom whisker edges(x and xend)
-# $mean: diamond mean coordinates (only if box.mean argument is TRUE)
-# $stat.display: coordinates of stat numbers (only if stat.disp argument is not NULL)
-# y.second.tick.positions: coordinates of secondary ticks (only if y.second.tick.nb argument is non-NULL or if y.log argument is different from "no")
-# y.second.tick.values: values of secondary ticks. NULL except if y.second.tick.nb argument is non-NULL or if y.log argument is different from "no")
-# $panel: the variable names used for the panels (NULL if no panels). WARNING: NA can be present according to ggplot2 upgrade to v3.3.0
-# $axes: the x-axis and y-axis info
-# $warn: the warning messages. Use cat() for proper display. NULL if no warning. WARNING: warning messages delivered by the internal ggplot2 functions are not apparent when using the argument plot = FALSE
-# $ggplot: ggplot object that can be used for reprint (use print(...$ggplot) or update (use ...$ggplot + ggplot2::...). NULL if return.ggplot argument is FALSE. Of note, a non-NULL $ggplot in the output list is sometimes annoying as the manipulation of this list prints the plot
-# $gtable: gtable object that can be used for reprint (use gridExtra::grid.arrange(...$ggplot) or with additionnal grobs (see the grob decomposition in the examples). NULL if return.ggplot argument is FALSE. Contrary to $ggplot, a non-NULL $gtable in the output list is not annoying as the manipulation of this list does not print the plot
-# EXAMPLE
-# DEBUGGING
-# set.seed(1) ; obs1 <- data.frame(Time = c(rnorm(10), rnorm(10) + 2), Categ1 = rep(c("G", "H"), each = 10), stringsAsFactors = TRUE) ; set.seed(NULL) ; obs1$Time[1:10] <- NA ; data1 = obs1 ; y = "Time" ; categ = c("Categ1") ; categ.class.order = NULL ; box.legend.name = NULL ; categ.color = c("green") ; box.fill = FALSE ; box.width = 0.5 ; box.space = 0.1 ; box.notch = FALSE ; box.line.size = 0.5 ; box.alpha = 0.5 ; box.mean = TRUE ; box.whisker.kind = "std" ; box.whisker.width = 0.5 ; dot.color = "black" ; dot.categ = "Categ1"; dot.categ.class.order = c("G", "H") ; dot.legend.name = NULL ; dot.tidy = TRUE ; dot.tidy.bin.nb = 50 ; dot.jitter = 0.25 ; dot.size = 3 ; dot.alpha = 0.5 ; dot.border.size = 0.5 ; dot.border.color = NULL ; dot.seed = 2 ; y.lim = NULL ; y.log = "no" ; y.tick.nb = NULL ; y.second.tick.nb = NULL ; y.include.zero = FALSE ; y.top.extra.margin = 0.05 ; y.bottom.extra.margin = 0.05 ; stat.disp = NULL ; stat.disp.mean = FALSE ; stat.size = 4 ; stat.dist = 2 ; stat.angle = 0 ; x.lab = NULL ; y.lab = NULL ; vertical = TRUE ; text.size = 12 ; title = "" ; title.text.size = 8 ; legend.show = TRUE ; legend.width = 0.5 ; x.angle = 0 ; article = FALSE ; grid = FALSE ; return = TRUE ; return.ggplot = FALSE ; return.gtable = FALSE ; plot = TRUE ; add = NULL ; warn.print = FALSE ; lib.path = NULL
-# set.seed(1) ; obs1 <- data.frame(Time = c(rnorm(10), rnorm(10) + 2), Categ1 = rep(c("G", "H"), each = 10), Categ2 = rep(c("A", "B"), time = 10), Categ3 = rep(c("I", "J"), time = 10), stringsAsFactors = TRUE) ; set.seed(NULL) ; obs1$Time[1:10] <- NA ; data1 = obs1 ; y = "Time" ; categ = c("Categ1", "Categ2") ; categ.class.order = list(c("G", "H"), c("A", "B")); box.legend.name = NULL ; categ.color = c("green", "blue") ; box.fill = FALSE ; box.width = 0.5 ; box.space = 0.1 ; box.notch = FALSE ; box.line.size = 0.5 ; box.alpha = 0.5 ; box.mean = TRUE ; box.whisker.kind = "std" ; box.whisker.width = 0.5 ; dot.color = "black" ; dot.categ = "Categ1" ; dot.categ.class.order = NULL ; dot.legend.name = NULL ; dot.tidy = TRUE ; dot.tidy.bin.nb = 30 ; dot.jitter = 0.25 ; dot.size = 3 ; dot.alpha = 0.5 ; dot.border.size = 0.5 ; dot.border.color = NULL ; dot.seed = 2 ; y.lim = NULL ; y.log = "no" ; y.tick.nb = NULL ; y.second.tick.nb = NULL ; y.include.zero = FALSE ; y.top.extra.margin = 0.05 ; y.bottom.extra.margin = 0.05 ; stat.disp = NULL ; stat.disp.mean = FALSE ; stat.size = 4 ; stat.dist = 2 ; stat.angle = 0 ; x.lab = NULL ; y.lab = NULL ; vertical = TRUE ; text.size = 12 ; title = "" ; title.text.size = 8 ; legend.show = TRUE ; legend.width = 0.5 ; x.angle = 0 ; article = FALSE ; grid = FALSE ; return = FALSE ; return.ggplot = FALSE ; return.gtable = FALSE ; plot = TRUE ; add = NULL ; warn.print = FALSE ; lib.path = NULL
-# set.seed(1) ; obs1 <- data.frame(Time = c(rnorm(10), rnorm(10) + 2), Categ1 = rep(c("G", "H"), each = 10), Categ2 = rep(c("A", "B"), time = 10), stringsAsFactors = TRUE) ; set.seed(NULL) ; data1 = obs1 ; y = "Time" ; categ = c("Categ1") ; categ.class.order = list(c("H", "G")); box.legend.name = NULL ; categ.color = c("blue") ; box.fill = FALSE ; box.width = 0.5 ; box.space = 0.1 ; box.notch = TRUE ; box.line.size = 1 ; box.alpha = 1 ; box.mean = FALSE ; box.whisker.kind = "max" ; box.whisker.width = 0 ; dot.color = "black" ; dot.categ = "Categ1" ; dot.categ.class.order = NULL ; dot.legend.name = NULL ; dot.tidy = TRUE ; dot.tidy.bin.nb = 30 ; dot.jitter = 0.25 ; dot.size = 3 ; dot.alpha = 0.5 ; dot.border.size = 0.5 ; dot.border.color = NULL ; dot.seed = 2 ; y.lim = NULL ; y.log = "log10" ; y.tick.nb = NULL ; y.second.tick.nb = NULL ; y.include.zero = FALSE ; y.top.extra.margin = 0.05 ; y.bottom.extra.margin = 0.05 ; stat.disp = "above" ; stat.disp.mean = FALSE ; stat.size = 4 ; stat.dist = 2 ; stat.angle = 0 ; x.lab = NULL ; y.lab = NULL ; vertical = TRUE ; text.size = 12 ; title = "" ; title.text.size = 8 ; legend.width = 0.5 ; legend.show = TRUE ; x.angle = 0 ; article = FALSE ; grid = FALSE ; return = FALSE ; return.ggplot = FALSE ; return.gtable = FALSE ; plot = TRUE ; add = NULL ; warn.print = FALSE ; lib.path = NULL
-# function name
-function.name <- paste0(as.list(match.call(expand.dots = FALSE))[[1]], "()")
-arg.names <- names(formals(fun = sys.function(sys.parent(n = 2)))) # names of all the arguments
-arg.user.setting <- as.list(match.call(expand.dots = FALSE))[-1] # list of the argument settings (excluding default values not provided by the user)
-# end function name
-# required function checking
-req.function <- c(
-"fun_comp_2d",
-"fun_gg_just",
-"fun_gg_palette",
-"fun_name_change",
-"fun_pack",
-"fun_check",
-"fun_round",
-"fun_scale",
-"fun_inter_ticks"
-)
-for(i1 in req.function){
-if(length(find(i1, mode = "function")) == 0){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nREQUIRED ", i1, "() FUNCTION IS MISSING IN THE R ENVIRONMENT")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-# end required function checking
-# reserved words to avoid bugs (names of dataframe columns used in this function)
-reserved.words <- c("categ.check", "categ.color", "dot.color", "dot.categ", "dot.max", "dot.min", "group", "PANEL", "group.check", "MEAN", "tempo.categ1", "tempo.categ2", "text.max.pos", "text.min.pos", "x", "x.y", "y", "y.check", "y_from.dot.max", "ymax", "tidy_group")
-# end reserved words to avoid bugs (used in this function)
-# argument primary checking
-# arg with no default values
-if(any(missing(data1) | missing(y) | missing(categ))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ARGUMENTS angle AND pos HAVE NO DEFAULT VALUE AND REQUIRE ONE")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# end arg with no default values
-arg.check <- NULL #
-text.check <- NULL #
-checked.arg.names <- NULL # for function debbuging: used by r_debugging_tools
-ee <- expression(arg.check <- c(arg.check, tempo$problem) , text.check <- c(text.check, tempo$text) , checked.arg.names <- c(checked.arg.names, tempo$fun.name))
-tempo <- fun_check(data = data1, class = "data.frame", na.contain = TRUE, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = y, class = "vector", mode = "character", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = categ, class = "vector", mode = "character", fun.name = function.name) ; eval(ee)
-if( ! is.null(categ.class.order)){
-tempo <- fun_check(data = categ.class.order, class = "list", fun.name = function.name) ; eval(ee)
-}
-if( ! is.null(box.legend.name)){
-tempo <- fun_check(data = box.legend.name, class = "vector", mode = "character", fun.name = function.name) ; eval(ee)
-}
-if( ! is.null(categ.color)){
-tempo1 <- fun_check(data = categ.color, class = "vector", mode = "character", na.contain = TRUE, fun.name = function.name)
-tempo2 <- fun_check(data = categ.color, class = "factor", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.check.color <- fun_check(data = categ.color, class = "integer", double.as.integer.allowed = TRUE, na.contain = TRUE, fun.name = function.name)$problem
-if(tempo.check.color == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": categ.color ARGUMENT MUST BE A FACTOR OR CHARACTER VECTOR OR INTEGER VECTOR") # integer possible because dealt above
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-}
-tempo <- fun_check(data = box.fill, class = "vector", mode = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = box.width, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = box.space, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = box.line.size, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = box.notch, class = "vector", mode = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = box.alpha, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = box.mean, class = "vector", mode = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = box.whisker.kind, options = c("no", "std", "max"), length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = box.whisker.width, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-if( ! is.null(dot.color)){
-tempo1 <- fun_check(data = dot.color, class = "vector", mode = "character", na.contain = TRUE, fun.name = function.name)
-tempo2 <- fun_check(data = dot.color, class = "factor", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.check.color <- fun_check(data = dot.color, class = "integer", double.as.integer.allowed = TRUE, na.contain = TRUE, fun.name = function.name)$problem
-if(tempo.check.color == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.color MUST BE A FACTOR OR CHARACTER VECTOR OR INTEGER VECTOR") # integer possible because dealt above
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-}
-if( ! is.null(dot.categ)){
-tempo <- fun_check(data = dot.categ, class = "vector", mode = "character", length = 1, fun.name = function.name) ; eval(ee)
-}
-if( ! is.null(dot.categ.class.order)){
-tempo <- fun_check(data = dot.categ.class.order, class = "vector", mode = "character", fun.name = function.name) ; eval(ee)
-}
-if( ! is.null(dot.legend.name)){
-tempo <- fun_check(data = dot.legend.name, class = "vector", mode = "character", length = 1, fun.name = function.name) ; eval(ee)
-}
-tempo <- fun_check(data = dot.tidy, class = "vector", mode = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = dot.tidy.bin.nb, class = "vector", typeof = "integer", length = 1, double.as.integer.allowed = TRUE, neg.values = FALSE, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = dot.jitter, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = dot.size, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = dot.alpha, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = dot.border.size, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
-if( ! is.null(dot.border.color)){
-tempo1 <- fun_check(data = dot.border.color, class = "vector", mode = "character", length = 1, fun.name = function.name)
-tempo2 <- fun_check(data = dot.border.color, class = "vector", typeof = "integer", double.as.integer.allowed = TRUE, length = 1, fun.name = function.name)
-if((tempo1$problem == TRUE & tempo2$problem == TRUE) | (tempo1$problem == FALSE & tempo2$problem == TRUE & ! (all(dot.border.color %in% colors() | grepl(pattern = "^#", dot.border.color))))){ # check that all strings of low.color start by #
-tempo.cat <- paste0("ERROR IN ", function.name, "\ndot.border.color ARGUMENT MUST BE (1) A HEXADECIMAL COLOR STRING STARTING BY #, OR (2) A COLOR NAME GIVEN BY colors(), OR (3) AN INTEGER VALUE\nHERE IT IS: ", paste(unique(dot.border.color), collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-if( ! is.null(dot.seed)){
-tempo <- fun_check(data = dot.seed, class = "vector", typeof = "integer", length = 1, double.as.integer.allowed = TRUE, neg.values = TRUE, fun.name = function.name) ; eval(ee)
-}
-if( ! is.null(x.lab)){
-if(all(class(x.lab) %in% "expression")){ # to deal with math symbols
-tempo <- fun_check(data = x.lab, class = "expression", length = 1, fun.name = function.name) ; eval(ee)
-}else{
-tempo <- fun_check(data = x.lab, class = "vector", mode = "character", length = 1, fun.name = function.name) ; eval(ee)
-}
-}
-tempo <- fun_check(data = x.angle, class = "vector", typeof = "integer", double.as.integer.allowed = TRUE, length = 1, neg.values = TRUE, fun.name = function.name) ; eval(ee)
-if( ! is.null(y.lab)){
-if(all(class(y.lab) %in% "expression")){ # to deal with math symbols
-tempo <- fun_check(data = y.lab, class = "expression", length = 1, fun.name = function.name) ; eval(ee)
-}else{
-tempo <- fun_check(data = y.lab, class = "vector", mode = "character", length = 1, fun.name = function.name) ; eval(ee)
-}
-}
-if( ! is.null(y.lim)){
-tempo <- fun_check(data = y.lim, class = "vector", mode = "numeric", length = 2, fun.name = function.name) ; eval(ee)
-if(tempo$problem == FALSE & any(y.lim %in% c(Inf, -Inf))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": y.lim ARGUMENT CANNOT CONTAIN -Inf OR Inf VALUES")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-tempo <- fun_check(data = y.log, options = c("no", "log2", "log10"), length = 1, fun.name = function.name) ; eval(ee)
-if( ! is.null(y.tick.nb)){
-tempo <- fun_check(data = y.tick.nb, class = "vector", typeof = "integer", length = 1, double.as.integer.allowed = TRUE, fun.name = function.name) ; eval(ee)
-if(tempo$problem == FALSE & y.tick.nb < 0){
-tempo.cat <- paste0("ERROR IN ", function.name, ": y.tick.nb ARGUMENT MUST BE A NON NULL POSITIVE INTEGER")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-if( ! is.null(y.second.tick.nb)){
-tempo <- fun_check(data = y.second.tick.nb, class = "vector", typeof = "integer", length = 1, double.as.integer.allowed = TRUE, fun.name = function.name) ; eval(ee)
-if(tempo$problem == FALSE & y.second.tick.nb <= 0){
-tempo.cat <- paste0("ERROR IN ", function.name, ": y.second.tick.nb ARGUMENT MUST BE A NON NULL POSITIVE INTEGER")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-tempo <- fun_check(data = y.include.zero, class = "vector", mode = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = y.top.extra.margin, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = y.bottom.extra.margin, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-if( ! is.null(stat.disp)){
-tempo <- fun_check(data = stat.disp, options = c("top", "above"), length = 1, fun.name = function.name) ; eval(ee)
-}
-tempo <- fun_check(data = stat.disp.mean, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = stat.size, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = stat.dist, class = "vector", mode = "numeric", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = stat.angle, class = "vector", typeof = "integer", double.as.integer.allowed = TRUE, length = 1, neg.values = TRUE, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = vertical, class = "vector", mode = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = text.size, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = title, class = "vector", mode = "character", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = title.text.size, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = legend.show, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-if( ! is.null(legend.width)){
-tempo <- fun_check(data = legend.width, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-}
-tempo <- fun_check(data = article, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = grid, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = return, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = return.ggplot, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = return.gtable, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = plot, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-if( ! is.null(add)){
-tempo <- fun_check(data = add, class = "vector", mode = "character", length = 1, fun.name = function.name) ; eval(ee)
-}
-tempo <- fun_check(data = warn.print, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-if( ! is.null(lib.path)){
-tempo <- fun_check(data = lib.path, class = "vector", mode = "character", fun.name = function.name) ; eval(ee)
-if(tempo$problem == FALSE){
-if( ! all(dir.exists(lib.path))){ # separation to avoid the problem of tempo$problem == FALSE and lib.path == NA
-tempo.cat <- paste0("ERROR IN ", function.name, ": DIRECTORY PATH INDICATED IN THE lib.path ARGUMENT DOES NOT EXISTS:\n", paste(lib.path, collapse = "\n"))
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-}
-if(any(arg.check) == TRUE){
-stop(paste0("\n\n================\n\n", paste(text.check[arg.check], collapse = "\n"), "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between == #
-}
-# source("C:/Users/Gael/Documents/Git_versions_to_use/debugging_tools_for_r_dev-v1.2/r_debugging_tools-v1.2.R") ; eval(parse(text = str_basic_arg_check_dev)) ; eval(parse(text = str_arg_check_with_fun_check_dev)) # activate this line and use the function (with no arguments left as NULL) to check arguments status and if they have been checked using fun_check()
-# end argument primary checking
-# second round of checking and data preparation
-# dealing with NA arguments
-tempo.arg <- names(arg.user.setting) # values provided by the user
-tempo.log <- sapply(lapply(lapply(tempo.arg, FUN = get, env = sys.nframe(), inherit = FALSE), FUN = is.na), FUN = any) & lapply(lapply(tempo.arg, FUN = get, env = sys.nframe(), inherit = FALSE), FUN = length) == 1 # no argument provided by the user can be just NA
-if(any(tempo.log) == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ":\n", ifelse(sum(tempo.log, na.rm = TRUE) > 1, "THESE ARGUMENTS\n", "THIS ARGUMENT\n"), paste0(tempo.arg[tempo.log], collapse = "\n"),"\nCANNOT JUST BE NA")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# end dealing with NA arguments
-# dealing with NULL arguments
-tempo.arg <-c(
-"data1",
-"y",
-"categ",
-"box.fill",
-"box.width",
-"box.space",
-"box.line.size",
-"box.notch",
-"box.alpha",
-"box.mean",
-"box.whisker.kind",
-"box.whisker.width",
-# "dot.color", # inactivated because can be null
-"dot.tidy",
-"dot.tidy.bin.nb",
-"dot.jitter",
-"dot.size",
-"dot.alpha",
-"dot.border.size",
-"x.angle",
-"y.log",
-"y.include.zero",
-"y.top.extra.margin",
-"y.bottom.extra.margin",
-"stat.disp.mean",
-"stat.size",
-"stat.dist",
-"stat.angle",
-"vertical",
-"text.size",
-"title",
-"title.text.size",
-"legend.show",
-# "legend.width", # inactivated because can be null
-"article",
-"grid",
-"return",
-"return.ggplot",
-"return.gtable",
-"plot",
-"warn.print"
-)
-tempo.log <- sapply(lapply(tempo.arg, FUN = get, env = sys.nframe(), inherit = FALSE), FUN = is.null)
-if(any(tempo.log) == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ":\n", ifelse(sum(tempo.log, na.rm = TRUE) > 1, "THESE ARGUMENTS\n", "THIS ARGUMENT\n"), paste0(tempo.arg[tempo.log], collapse = "\n"),"\nCANNOT BE NULL")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# end dealing with NULL arguments
-# code that protects set.seed() in the global environment
-# see also Protocol 100-rev0 Parallelization in R.docx
-if(exists(".Random.seed", envir = .GlobalEnv)){ # if .Random.seed does not exists, it means that no random operation has been performed yet in any R environment
-tempo.random.seed <- .Random.seed
-on.exit(assign(".Random.seed", tempo.random.seed, env = .GlobalEnv))
-}else{
-on.exit(set.seed(NULL)) # inactivate seeding -> return to complete randomness
-}
-set.seed(dot.seed)
-# end code that protects set.seed() in the global environment
-ini.warning.length <- options()$warning.length
-warn <- NULL
-warn.count <- 0
-if(any(duplicated(names(data1)))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nDUPLICATED COLUMN NAMES OF data1 ARGUMENT NOT ALLOWED:\n", paste(names(data1)[duplicated(names(data1))], collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-if( ! (y %in% names(data1))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ny ARGUMENT MUST BE A COLUMN NAME OF data1")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-tempo <- fun_check(data = data1[, y], data.name = "y COLUMN OF data1", class = "vector", mode = "numeric", na.contain = TRUE, fun.name = function.name)
-if(tempo$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ny ARGUMENT MUST BE NUMERIC COLUMN IN data1")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-if(length(categ) > 2){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ncateg ARGUMENT CANNOT HAVE MORE THAN 2 COLUMN NAMES OF data1")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else if( ! all(categ %in% names(data1))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ncateg ARGUMENT MUST BE COLUMN NAMES OF data1. HERE IT IS:\n", paste(categ, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# reserved word checking
-if(any(names(data1) %in% reserved.words)){
-if(any(duplicated(names(data1)))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nDUPLICATED COLUMN NAMES OF data1 ARGUMENT NOT ALLOWED:\n", paste(names(data1)[duplicated(names(data1))], collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-if( ! is.null(dot.categ)){
-if(dot.categ %in% categ){
-reserved.words <- c(reserved.words, paste0(dot.categ, "_DOT")) # paste0(dot.categ, "_DOT") is added to the reserved words because in such situation, a new column will be added to data1 that is named paste0(dot.categ, "_DOT")
-}
-}
-tempo.output <- fun_name_change(names(data1), reserved.words)
-for(i2 in 1:length(tempo.output$ini)){ # a loop to be sure to take the good ones
-names(data1)[names(data1) == tempo.output$ini[i2]] <- tempo.output$post[i2]
-if(any(y == tempo.output$ini[i2])){
-y[y == tempo.output$ini[i2]] <- tempo.output$post[i2]
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN y ARGUMENT (COLUMN NAMES OF data1 ARGUMENT),\n", tempo.output$ini[i2], " HAS BEEN REPLACED BY ", tempo.output$post[i2], "\nBECAUSE RISK OF BUG AS SOME NAMES IN y ARGUMENT ARE RESERVED WORD USED BY THE ", function.name, " FUNCTION")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# WARNING: names of y argument potentially replaced
-if(any(categ == tempo.output$ini[i2])){
-categ[categ == tempo.output$ini[i2]] <- tempo.output$post[i2]
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN categ ARGUMENT (COLUMN NAMES OF data1 ARGUMENT),\n", tempo.output$ini[i2], " HAS BEEN REPLACED BY ", tempo.output$post[i2], "\nBECAUSE RISK OF BUG AS SOME NAMES IN categ ARGUMENT ARE RESERVED WORD USED BY THE ", function.name, " FUNCTION")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# WARNING: names of categ argument potentially replaced
-if( ! is.null(dot.categ)){
-if(any(dot.categ == tempo.output$ini[i2])){
-dot.categ[dot.categ == tempo.output$ini[i2]] <- tempo.output$post[i2]
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN dot.categ ARGUMENT (COLUMN NAMES OF data1 ARGUMENT),\n", tempo.output$ini[i2], " HAS BEEN REPLACED BY ", tempo.output$post[i2], "\nBECAUSE RISK OF BUG AS SOME NAMES IN dot.categ ARGUMENT ARE RESERVED WORD USED BY THE ", function.name, " FUNCTION")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# WARNING: names of dot.categ argument potentially replaced
-}
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") REGARDING COLUMN NAMES REPLACEMENT, THE NAMES\n", paste(tempo.output$ini, collapse = " "), "\nHAVE BEEN REPLACED BY\n", paste(tempo.output$post, collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-if( ! (is.null(add) | is.null(tempo.output$ini))){
-if(grepl(x = add, pattern = paste(tempo.output$ini, collapse = "|"))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nDETECTION OF COLUMN NAMES OF data1 IN THE add ARGUMENT STRING, THAT CORRESPOND TO RESERVED STRINGS FOR ", function.name, "\nCOLUMN NAMES HAVE TO BE CHANGED\nTHE PROBLEMATIC COLUMN NAMES ARE SOME OF THESE NAMES:\n", paste(tempo.output$ini, collapse = " "), "\nIN THE DATA FRAME OF data1 AND IN THE STRING OF add ARGUMENT, TRY TO REPLACE NAMES BY:\n", paste(tempo.output$post, collapse = " "), "\n\nFOR INFORMATION, THE RESERVED WORDS ARE:\n", paste(reserved.words, collapse = "\n"))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-}
-if( ! (is.null(add))){
-if(any(sapply(X = arg.names, FUN = grepl, x = add))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NAMES OF ", function.name, " ARGUMENTS DETECTED IN THE add STRING:\n", paste(arg.names[sapply(X = arg.names, FUN = grepl, x = add)], collapse = "\n"), "\nRISK OF WRONG OBJECT USAGE INSIDE ", function.name)
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# end reserved word checking
-# verif of add
-if( ! is.null(add)){
-if( ! grepl(pattern = "^\\s*\\+", add)){ # check that the add string start by +
-tempo.cat <- paste0("ERROR IN ", function.name, ": add ARGUMENT MUST START WITH \"+\": ", paste(unique(add), collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else if( ! grepl(pattern = "(ggplot2|lemon)\\s*::", add)){ #
-tempo.cat <- paste0("ERROR IN ", function.name, ": FOR EASIER FUNCTION DETECTION, add ARGUMENT MUST CONTAIN \"ggplot2::\" OR \"lemon::\" IN FRONT OF EACH GGPLOT2 FUNCTION: ", paste(unique(add), collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else if( ! grepl(pattern = ")\\s*$", add)){ # check that the add string finished by )
-tempo.cat <- paste0("ERROR IN ", function.name, ": add ARGUMENT MUST FINISH BY \")\": ", paste(unique(add), collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-# end verif of add
-# management of add containing facet
-facet.categ <- NULL
-if( ! is.null(add)){
-facet.check <- TRUE
-tempo <- unlist(strsplit(x = add, split = "\\s*\\+\\s*(ggplot2|lemon)\\s*::\\s*")) #
-tempo <- sub(x = tempo, pattern = "^facet_wrap", replacement = "ggplot2::facet_wrap")
-tempo <- sub(x = tempo, pattern = "^facet_grid", replacement = "ggplot2::facet_grid")
-tempo <- sub(x = tempo, pattern = "^facet_rep", replacement = "lemon::facet_rep")
-if(any(grepl(x = tempo, pattern = "ggplot2::facet_wrap|lemon::facet_rep_wrap"))){
-tempo1 <- suppressWarnings(eval(parse(text = tempo[grepl(x = tempo, pattern = "ggplot2::facet_wrap|lemon::facet_rep_wrap")])))
-facet.categ <- names(tempo1$params$facets)
-tempo.text <- "facet_wrap OR facet_rep_wrap"
-facet.check <- FALSE
-}else if(grepl(x = add, pattern = "ggplot2::facet_grid|lemon::facet_rep_grid")){
-tempo1 <- suppressWarnings(eval(parse(text = tempo[grepl(x = tempo, pattern = "ggplot2::facet_grid|lemon::facet_rep_grid")])))
-facet.categ <- c(names(tempo1$params$rows), names(tempo1$params$cols))
-tempo.text <- "facet_grid OR facet_rep_grid"
-facet.check <- FALSE
-}
-if(facet.check == FALSE & ! all(facet.categ %in% names(data1))){ # WARNING: all(facet.categ %in% names(data1)) is TRUE when facet.categ is NULL
-tempo.cat <- paste0("ERROR IN ", function.name, "\nDETECTION OF \"", tempo.text, "\" STRING IN THE add ARGUMENT BUT PROBLEM OF VARIABLE DETECTION (COLUMN NAMES OF data1)\nTHE DETECTED VARIABLES ARE:\n", paste(facet.categ, collapse = " "), "\nTHE data1 COLUMN NAMES ARE:\n", paste(names(data1), collapse = " "), "\nPLEASE REWRITE THE add STRING AND RERUN")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-# end management of add containing facet
-# conversion of categ columns in data1 into factors
-for(i1 in 1:length(categ)){
-tempo1 <- fun_check(data = data1[, categ[i1]], data.name = paste0("categ NUMBER ", i1, " OF data1"), class = "vector", mode = "character", na.contain = TRUE, fun.name = function.name)
-tempo2 <- fun_check(data = data1[, categ[i1]], data.name = paste0("categ NUMBER ", i1, " OF data1"), class = "factor", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, "\n", paste0("categ NUMBER ", i1, " OF data1"), " MUST BE A FACTOR OR CHARACTER VECTOR")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else if(tempo1$problem == FALSE){ # character vector
-if(box.alpha != 0){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN categ NUMBER ", i1, " IN data1, THE CHARACTER COLUMN HAS BEEN CONVERTED TO FACTOR, WITH LEVELS ACCORDING TO THE ALPHABETICAL ORDER")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-data1[, categ[i1]] <- factor(data1[, categ[i1]]) # if already a factor, change nothing, if characters, levels according to alphabetical order
-}
-# OK: all the categ columns of data1 are factors from here
-# end conversion of categ columns in data1 into factors
-
-
-
-# management of log scale and Inf removal
-if(any(( ! is.finite(data1[, y])) & ( ! is.na(data1[, y])))){ # is.finite also detects NA: ( ! is.finite(data1[, y])) & ( ! is.na(data1[, y])) detects only Inf
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") PRESENCE OF -Inf OR Inf VALUES IN THE ", y, " COLUMN OF THE data1 ARGUMENT AND CORRESPONDING ROWS REMOVED (SEE $removed.row.nb AND $removed.rows)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-data1.ini <- data1 # strictly identical to data1 except that in data1 y is log converted if and only if y.log != "no"
-if(y.log != "no"){
-tempo1 <- ! is.finite(data1[, y]) # where are initial NA and Inf
-data1[, y] <- suppressWarnings(get(y.log)(data1[, y]))# no env = sys.nframe(), inherit = FALSE in get() because look for function in the classical scope
-if(any( ! (tempo1 | is.finite(data1[, y])))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") LOG CONVERSION INTRODUCED -Inf OR Inf OR NaN VALUES IN THE ", y, " COLUMN OF THE data1 ARGUMENT AND CORRESPONDING ROWS REMOVED (SEE $removed.row.nb AND $removed.rows)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# Inf removal
-if(any(( ! is.finite(data1[, y])) & ( ! is.na(data1[, y])))){ # is.finite also detects NA: ( ! is.finite(data1[, y])) & ( ! is.na(data1[, y])) detects only Inf
-removed.row.nb <- which(( ! is.finite(data1[, y])) & ( ! is.na(data1[, y])))
-removed.rows <- data1.ini[removed.row.nb, ] # here data1.ini used to have the y = O rows that will be removed because of Inf creation after log transformation
-data1 <- data1[-removed.row.nb, ] #
-data1.ini <- data1.ini[-removed.row.nb, ] #
-}else{
-removed.row.nb <- NULL
-removed.rows <- data.frame(stringsAsFactors = FALSE)
-}
-# From here, data1 and data.ini have no more Inf
-# end Inf removal
-if(y.log != "no" & ! is.null(y.lim)){
-if(any(y.lim <= 0)){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ny.lim ARGUMENT CANNOT HAVE ZERO OR NEGATIVE VALUES WITH THE y.log ARGUMENT SET TO ", y.log, ":\n", paste(y.lim, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else if(any( ! is.finite(if(y.log == "log10"){log10(y.lim)}else{log2(y.lim)}))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ny.lim ARGUMENT RETURNS INF/NA WITH THE y.log ARGUMENT SET TO ", y.log, "\nAS SCALE COMPUTATION IS ", ifelse(y.log == "log10", "log10", "log2"), ":\n", paste(if(y.log == "log10"){log10(y.lim)}else{log2(y.lim)}, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-if(y.log != "no" & y.include.zero == TRUE){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") y.log ARGUMENT SET TO ", y.log, " AND y.include.zero ARGUMENT SET TO TRUE -> y.include.zero ARGUMENT RESET TO FALSE BECAUSE 0 VALUE CANNOT BE REPRESENTED IN LOG SCALE")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-y.include.zero <- FALSE
-}
-if(y.log != "no" & vertical == FALSE){
-vertical <- TRUE
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") BECAUSE OF A BUG IN ggplot2, CANNOT FLIP BOXES HORIZONTALLY WITH A Y.LOG SCALE -> vertical ARGUMENT RESET TO TRUE")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# end management of log scale and Inf removal
-# na detection and removal (done now to be sure of the correct length of categ)
-column.check <- unique(c(y, categ, if( ! is.null(dot.color) & ! is.null(dot.categ)){dot.categ}, if( ! is.null(facet.categ)){facet.categ})) # dot.categ because can be a 3rd column of data1, categ.color and dot.color will be tested later
-if(any(is.na(data1[, column.check]))){ # data1 used here instead of data1.ini in case of new NaN created by log conversion (neg values)
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NA DETECTED IN COLUMNS OF data1 AND CORRESPONDING ROWS REMOVED (SEE $removed.row.nb AND $removed.rows)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-for(i2 in 1:length(column.check)){
-if(any(is.na(data1[, column.check[i2]]))){
-tempo.warn <- paste0("NA REMOVAL DUE TO COLUMN ", column.check[i2], " OF data1")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n", tempo.warn)))
-}
-}
-tempo <- unique(unlist(lapply(lapply(c(data1[column.check]), FUN = is.na), FUN = which)))
-removed.row.nb <- c(removed.row.nb, tempo) # removed.row.nb created to remove Inf
-removed.rows <- rbind(removed.rows, data1.ini[tempo, ], stringsAsFactors = FALSE) # here data1.ini used to have the non NA rows that will be removed because of NAN creation after log transformation (neg values for instance)
-column.check <- column.check[ ! column.check == y] # remove y to keep quali columns
-if(length(tempo) != 0){
-data1 <- data1[-tempo, ] # WARNING tempo here and not removed.row.nb because the latter contain more numbers thant the former
-data1.ini <- data1.ini[-tempo, ] # WARNING tempo here and not removed.row.nb because the latter contain more numbers than the former
-for(i3 in 1:length(column.check)){
-if(any( ! unique(removed.rows[, column.check[i3]]) %in% unique(data1[, column.check[i3]]))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN COLUMN ", column.check[i3], " OF data1, THE FOLLOWING CLASSES HAVE DISAPPEARED AFTER NA/Inf REMOVAL (IF COLUMN USED IN THE PLOT, THIS CLASS WILL NOT BE DISPLAYED):\n", paste(unique(removed.rows[, column.check[i3]])[ ! unique(removed.rows[, column.check[i3]]) %in% unique(data1[, column.check[i3]])], collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-}
-count.categ <- 0
-for(i2 in 1:length(column.check)){
-if(column.check[i2] %in% categ){
-count.categ <- count.categ + 1
-}
-if(column.check[i2] == categ[count.categ]){
-categ.class.order[count.categ] <- list(levels(data1[, column.check[i2]])[levels(data1[, column.check[i2]]) %in% unique(data1[, column.check[i2]])]) # remove the absent color in the character vector
-data1[, column.check[i2]] <- factor(as.character(data1[, column.check[i2]]), levels = unique(categ.class.order[[count.categ]]))
-}
-if( ! is.null(dot.color) & ! is.null(dot.categ)){ # reminder : dot.categ cannot be a column name of categ anymore (because in that case dot.categ name is changed into "..._DOT"
-if(column.check[i2] == dot.categ){
-dot.categ.class.order <- levels(data1[, column.check[i2]])[levels(data1[, column.check[i2]]) %in% unique(data1[, column.check[i2]])] # remove the absent color in the character vector
-data1[, column.check[i2]] <- factor(as.character(data1[, column.check[i2]]), levels = unique(dot.categ.class.order))
-}
-}
-if(column.check[i2] %in% facet.categ){ # works if facet.categ == NULL this method should keep the order of levels when removing some levels
-tempo.levels <- levels(data1[, column.check[i2]])[levels(data1[, column.check[i2]]) %in% unique(as.character(data1[, column.check[i2]]))]
-data1[, column.check[i2]] <- factor(as.character(data1[, column.check[i2]]), levels = tempo.levels)
-}
-}
-}
-# end na detection and removal (done now to be sure of the correct length of categ)
-# From here, data1 and data.ini have no more NA or NaN in y, categ, dot.categ (if dot.color != NULL) and facet.categ
-
-
-
-if( ! is.null(categ.class.order)){
-if(length(categ.class.order) != length(categ)){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ncateg.class.order ARGUMENT MUST BE A LIST OF LENGTH EQUAL TO LENGTH OF categ\nHERE IT IS LENGTH: ", length(categ.class.order), " VERSUS ", length(categ))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-for(i3 in 1:length(categ.class.order)){
-if(is.null(categ.class.order[[i3]])){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE categ.class.order COMPARTMENT ", i3, " IS NULL. ALPHABETICAL ORDER WILL BE APPLIED")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-data1[, categ[i3]] <- factor(as.character(data1[, categ[i3]])) # if already a factor, change nothing, if characters, levels according to alphabetical order
-categ.class.order[[i3]] <- levels(data1[, categ[i3]]) # character vector that will be used later
-}else{
-tempo <- fun_check(data = categ.class.order[[i3]], data.name = paste0("COMPARTMENT ", i3 , " OF categ.class.order ARGUMENT"), class = "vector", mode = "character", length = length(levels(data1[, categ[i3]])), fun.name = function.name) # length(data1[, categ[i1]) -> if data1[, categ[i1] was initially character vector, then conversion as factor after the NA removal, thus class number ok. If data1[, categ[i1] was initially factor, no modification after the NA removal, thus class number ok
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-if(any(duplicated(categ.class.order[[i3]]))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nCOMPARTMENT ", i3, " OF categ.class.order ARGUMENT CANNOT HAVE DUPLICATED CLASSES: ", paste(categ.class.order[[i3]], collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else if( ! (all(categ.class.order[[i3]] %in% unique(data1[, categ[i3]])) & all(unique(data1[, categ[i3]]) %in% categ.class.order[[i3]]))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nCOMPARTMENT ", i3, " OF categ.class.order ARGUMENT MUST BE CLASSES OF ELEMENT ", i3, " OF categ ARGUMENT\nHERE IT IS:\n", paste(categ.class.order[[i3]], collapse = " "), "\nFOR COMPARTMENT ", i3, " OF categ.class.order AND IT IS:\n", paste(unique(data1[, categ[i3]]), collapse = " "), "\nFOR COLUMN ", categ[i3], " OF data1")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-data1[, categ[i3]] <- factor(data1[, categ[i3]], levels = categ.class.order[[i3]]) # reorder the factor
-
-}
-names(categ.class.order)[i3] <- categ[i3]
-}
-}
-}else{
-categ.class.order <- vector("list", length = length(categ))
-tempo.categ.class.order <- NULL
-for(i2 in 1:length(categ.class.order)){
-categ.class.order[[i2]] <- levels(data1[, categ[i2]])
-names(categ.class.order)[i2] <- categ[i2]
-tempo.categ.class.order <- c(tempo.categ.class.order, ifelse(i2 != 1, "\n", ""), categ.class.order[[i2]])
-}
-if(box.alpha != 0){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE categ.class.order SETTING IS NULL. ALPHABETICAL ORDER WILL BE APPLIED FOR BOX ORDERING:\n", paste(tempo.categ.class.order, collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# categ.class.order not NULL anymore (list)
-if(is.null(box.legend.name) & box.alpha != 0){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE box.legend.name SETTING IS NULL. NAMES OF categ WILL BE USED: ", paste(categ, collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-box.legend.name <- categ[length(categ)] # if only categ1, then legend name of categ1, if length(categ) == 2, then legend name of categ2
-}
-# box.legend.name not NULL anymore (character string)
-# management of categ.color
-if( ! is.null(categ.color)){
-# check the nature of color
-# integer colors into gg_palette
-tempo.check.color <- fun_check(data = categ.color, class = "integer", double.as.integer.allowed = TRUE, na.contain = TRUE, fun.name = function.name)$problem
-if(tempo.check.color == FALSE){
-# convert integers into colors
-categ.color <- fun_gg_palette(max(categ.color, na.rm = TRUE))[categ.color]
-}
-# end integer colors into gg_palette
-if( ! (all(categ.color %in% colors() | grepl(pattern = "^#", categ.color)))){ # check that all strings of low.color start by #
-tempo.cat <- paste0("ERROR IN ", function.name, "\ncateg.color ARGUMENT MUST BE A HEXADECIMAL COLOR VECTOR STARTING BY # AND/OR COLOR NAMES GIVEN BY colors(): ", paste(unique(categ.color), collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-if(any(is.na(categ.color)) & box.alpha != 0){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") categ.color ARGUMENT CONTAINS NA")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# end check the nature of color
-# check the length of color
-categ.len <- length(categ) # if only categ1, then colors for classes of categ1, if length(categ) == 2, then colors for classes of categ2
-if(length(categ.color) == length(levels(data1[, categ[categ.len]]))){ # here length(categ.color) is equal to the different number of categ
-# data1[, categ[categ.len]] <- factor(data1[, categ[categ.len]]) # not required because sure that is is a factor
-data1 <- data.frame(data1, categ.color = data1[, categ[categ.len]], stringsAsFactors = TRUE) # no need stringsAsFactors here for stat.nolog as factors remain factors
-data1$categ.color <- factor(data1$categ.color, labels = categ.color)
-if(box.alpha != 0){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN ", categ[categ.len], " OF categ ARGUMENT, THE FOLLOWING COLORS:\n", paste(categ.color, collapse = " "), "\nHAVE BEEN ATTRIBUTED TO THESE CLASSES:\n", paste(levels(factor(data1[, categ[categ.len]])), collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}else if(length(categ.color) == length(data1[, categ[categ.len]])){# here length(categ.color) is equal to nrow(data1) -> Modif to have length(categ.color) equal to the different number of categ (length(categ.color) == length(levels(data1[, categ[categ.len]])))
-data1 <- data.frame(data1, categ.color = categ.color, stringsAsFactors = TRUE)
-tempo.check <- unique(data1[ , c(categ[categ.len], "categ.color")])
-if( ! (nrow(tempo.check) == length(unique(categ.color)) & nrow(tempo.check) == length(unique(data1[ , categ[categ.len]])))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ncateg.color ARGUMENT HAS THE LENGTH OF data1 ROW NUMBER\nBUT IS INCORRECTLY ASSOCIATED TO EACH CLASS OF categ ", categ[categ.len], ":\n", paste(unique(mapply(FUN = "paste", data1[ ,categ[categ.len]], data1[ ,"categ.color"])), collapse = "\n"))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-# data1[, categ[categ.len]] <- factor(data1[, categ[categ.len]]) # not required because sure that is is a factor
-categ.color <- unique(data1$categ.color[order(data1[, categ[categ.len]])]) # Modif to have length(categ.color) equal to the different number of categ (length(categ.color) == length(levels(data1[, categ[categ.len]])))
-if(box.alpha != 0){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") categ.color ARGUMENT HAS THE LENGTH OF data1 ROW NUMBER\nCOLORS HAVE BEEN RESPECTIVELY ASSOCIATED TO EACH CLASS OF categ ", categ[categ.len], " AS:\n", paste(levels(factor(data1[, categ[categ.len]])), collapse = " "), "\n", paste(categ.color, collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-}else if(length(categ.color) == 1){
-# data1[, categ[categ.len]] <- factor(data1[, categ[categ.len]]) # not required because sure that is is a factor
-data1 <- data.frame(data1, categ.color = categ.color, stringsAsFactors = TRUE)
-categ.color <- rep(categ.color, length(levels(data1[, categ[categ.len]])))
-if(box.alpha != 0){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") categ.color ARGUMENT HAS LENGTH 1, MEANING THAT ALL THE DIFFERENT CLASSES OF ", categ[categ.len], "\n", paste(levels(factor(data1[, categ[categ.len]])), collapse = " "), "\nWILL HAVE THE SAME COLOR\n", paste(categ.color, collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}else{
-tempo.cat <- paste0("ERROR IN ", function.name, "\ncateg.color ARGUMENT MUST BE (1) LENGTH 1, OR (2) THE LENGTH OF data1 NROWS AFTER NA/Inf REMOVAL, OR (3) THE LENGTH OF THE CLASSES IN THE categ ", categ[categ.len], " COLUMN. HERE IT IS COLOR LENGTH ", length(categ.color), " VERSUS CATEG LENGTH ", length(data1[, categ[categ.len]]), " AND CATEG CLASS LENGTH ", length(unique(data1[, categ[categ.len]])), "\nPRESENCE OF NA/Inf COULD BE THE PROBLEM")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}else{
-categ.len <- length(categ) # if only categ1, then colors for classes of categ1, if length(categ) == 2, then colors for classes of categ2
-# data1[, categ[categ.len]] <- factor(data1[, categ[categ.len]]) # not required because sure that is is a factor
-categ.color <- fun_gg_palette(length(levels(data1[, categ[categ.len]])))
-data1 <- data.frame(data1, categ.color = data1[, categ[categ.len]], stringsAsFactors = TRUE)
-data1$categ.color <- factor(data1$categ.color, labels = categ.color)
-if(box.alpha != 0){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NULL categ.color ARGUMENT -> COLORS RESPECTIVELY ATTRIBUTED TO EACH CLASS OF ", categ[categ.len], " IN data1:\n", paste(categ.color, collapse = " "), "\n", paste(levels(data1[, categ[categ.len]]), collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# categ.color not NULL anymore
-categ.color <- as.character(categ.color)
-# categ.color is a character string representing the diff classes
-data1$categ.color <- factor(data1$categ.color, levels = unique(categ.color)) # ok because if categ.color is a character string, the order make class 1, class 2, etc. unique() because no duplicates allowed
-# data1$categ.color is a factor with order of levels -> categ.color
-# end management of categ.color
-# management of dot.color
-if( ! is.null(dot.color)){
-# optional legend of dot colors
-if( ! is.null(dot.categ)){
-ini.dot.categ <- dot.categ
-if( ! dot.categ %in% names(data1)){ # no need to use all() because length(dot.categ) = 1
-tempo.cat <- paste0("ERROR IN ", function.name, "\ndot.categ ARGUMENT MUST BE A COLUMN NAME OF data1. HERE IT IS:\n", dot.categ)
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else if(dot.categ %in% categ){ # no need to use all() because length(dot.categ) = 1. Do not use dot.categ %in% categ[length(categ)] -> error
-# management of dot legend if dot.categ %in% categ (because legends with the same name are joined in ggplot2)
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE COLUMN NAME OF data1 INDICATED IN THE dot.categ ARGUMENT (", dot.categ, ") HAS BEEN REPLACED BY ", paste0(dot.categ, "_DOT"), " TO AVOID MERGED LEGEND BY GGPLOT2")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-data1 <- data.frame(data1, dot.categ = data1[, dot.categ], stringsAsFactors = TRUE) # dot.categ is not a column name of data1 (checked above with reserved words)
-dot.categ <- paste0(dot.categ, "_DOT")
-names(data1)[names(data1) == "dot.categ"] <- dot.categ # paste0(dot.categ, "_DOT") is not a column name of data1 (checked above with reserved words)
-# tempo.cat <- paste0("ERROR IN ", function.name, "\ndot.categ ARGUMENT CANNOT BE A COLUMN NAME OF data1 ALREADY SPECIFIED IN THE categ ARGUMENT:\n", dot.categ, "\nINDEED, dot.categ ARGUMENT IS MADE TO HAVE MULTIPLE DOT COLORS NOT RELATED TO THE BOXPLOT CATEGORIES")
-# stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-tempo1 <- fun_check(data = data1[, dot.categ], data.name = paste0(dot.categ, " COLUMN OF data1"), class = "vector", mode = "character", na.contain = TRUE, fun.name = function.name)
-tempo2 <- fun_check(data = data1[, dot.categ], data.name = paste0(dot.categ, " COLUMN OF data1"), class = "factor", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ndot.categ COLUMN MUST BE A FACTOR OR CHARACTER VECTOR") #
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-data1[, dot.categ] <- factor(data1[, dot.categ]) # if already a factor, change nothing, if characters, levels according to alphabetical order
-# dot.categ column of data1 is factor from here
-if( ! is.null(dot.categ.class.order)){
-if(any(duplicated(dot.categ.class.order))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ndot.categ.class.order ARGUMENT CANNOT HAVE DUPLICATED CLASSES: ", paste(dot.categ.class.order, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else if( ! (all(dot.categ.class.order %in% levels(data1[, dot.categ])) & all(levels(data1[, dot.categ]) %in% dot.categ.class.order))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ndot.categ.class.order ARGUMENT MUST BE CLASSES OF dot.categ ARGUMENT\nHERE IT IS:\n", paste(dot.categ.class.order, collapse = " "), "\nFOR dot.categ.class.order AND IT IS:\n", paste(levels(data1[, dot.categ]), collapse = " "), "\nFOR dot.categ COLUMN (", ini.dot.categ, ") OF data1")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-data1[, dot.categ] <- factor(data1[, dot.categ], levels = dot.categ.class.order) # reorder the factor
-}
-}else{
-if(all(dot.color == "same") & length(dot.color) == 1){
-dot.categ.class.order <- unlist(categ.class.order[length(categ)])
-data1[, dot.categ] <- factor(data1[, dot.categ], levels = dot.categ.class.order) # reorder the factor
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE dot.categ.class.order SETTING IS NULL AND dot.color IS \"same\". ORDER OF categ.class.order WILL BE APPLIED FOR LEGEND DISPLAY: ", paste(dot.categ.class.order, collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}else{
-dot.categ.class.order <- sort(levels(data1[, dot.categ]))
-data1[, dot.categ] <- factor(data1[, dot.categ], levels = dot.categ.class.order) # reorder the factor
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE dot.categ.class.order SETTING IS NULL. ALPHABETICAL ORDER WILL BE APPLIED FOR LEGEND DISPLAY: ", paste(dot.categ.class.order, collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# dot.categ.class.order not NULL anymore (character string) if dot.categ is not NULL
-if(all(dot.color == "same") & length(dot.color) == 1){
-if( ! identical(ini.dot.categ, categ[length(categ)])){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nWHEN dot.color ARGUMENT IS \"same\", THE COLUMN NAME IN dot.categ ARGUMENT MUST BE IDENTICAL TO THE LAST COLUMN NAME IN categ ARGUMENT. HERE IT IS:\ndot.categ: ", paste(ini.dot.categ, collapse = " "), "\ncateg: ", paste(categ, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else if( ! fun_comp_1d(unlist(categ.class.order[length(categ)]), dot.categ.class.order)$identical.content){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nWHEN dot.color ARGUMENT IS \"same\",\nLAST COMPARTMENT OF categ.class.order ARGUMENT AND dot.categ.class.order ARGUMENT CANNOT BE DIFFERENT:\nLAST COMPARTMENT OF categ.class.order: ", paste(unlist(categ.class.order[length(categ)]), collapse = " "), "\ndot.categ.class.order: ", paste(dot.categ.class.order, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-for(i3 in 1:length(categ)){
-if(identical(categ[i3], ini.dot.categ) & ! identical(unlist(categ.class.order[i3]), dot.categ.class.order) & identical(sort(unlist(categ.class.order[i3])), sort(dot.categ.class.order))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE dot.categ ARGUMENT SETTING IS PRESENT IN THE categ ARGUMENT SETTING, BUT ORDER OF THE CLASSES IS NOT THE SAME:\ncateg.class.order: ", paste(unlist(categ.class.order[i3]), collapse = " "), "\ndot.categ.class.order: ", paste(dot.categ.class.order, collapse = " "), "\nNOTE THAT ORDER OF categ.class.order IS THE ONE USED FOR THE AXIS REPRESENTATION")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-if(is.null(dot.legend.name)){
-dot.legend.name <- if(ini.dot.categ %in% categ[length(categ)]){dot.categ}else{ini.dot.categ} #
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE dot.legend.name SETTING IS NULL -> ", dot.legend.name, " WILL BE USED AS LEGEND TITLE OF DOTS")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# dot.legend.name not NULL anymore (character string)
-}else{
-if( ! is.null(dot.categ.class.order)){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE dot.categ.class.order ARGUMENT IS NOT NULL, BUT IS THE dot.categ ARGUMENT\n-> dot.categ.class.order NOT CONSIDERED AS NO LEGEND WILL BE DRAWN")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# But dot.categ.class.order will be converted to NULL below (not now)
-}
-# end optional legend of dot colors
-# check the nature of color
-# integer colors into gg_palette
-tempo.check.color <- fun_check(data = dot.color, class = "integer", double.as.integer.allowed = TRUE, na.contain = TRUE, fun.name = function.name)$problem
-if(tempo.check.color == FALSE){
-# convert integers into colors
-dot.color <- fun_gg_palette(max(dot.color, na.rm = TRUE))[dot.color]
-}
-# end integer colors into gg_palette
-if(all(dot.color == "same") & length(dot.color) == 1){
-dot.color <- categ.color # same color of the dots as the corresponding box color
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") dot.color ARGUMENT HAS BEEN SET TO \"same\"\nTHUS, DOTS WILL HAVE THE SAME COLORS AS THE CORRESPONDING BOXPLOT")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}else if( ! (all(dot.color %in% colors() | grepl(pattern = "^#", dot.color)))){ # check that all strings of low.color start by #
-tempo.cat <- paste0("ERROR IN ", function.name, "\ndot.color ARGUMENT MUST BE (1) A HEXADECIMAL COLOR VECTOR STARTING BY #, OR (2) COLOR NAMES GIVEN BY colors(), OR (3) INTEGERS, OR THE STRING\"same\"\nHERE IT IS: ", paste(unique(dot.color), collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-if(any(is.na(dot.color))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") dot.color ARGUMENT CONTAINS NA")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# end check the nature of color
-# check the length of color
-if( ! is.null(dot.categ)){
-# optional legend of dot colors
-if(length(dot.color) > 1 & length(unique(data1[, dot.categ])) != length(dot.color)){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ndot.color ARGUMENT IS NOT THE SAME LENGTH AS LEVELS OF dot.categ COLUMN (", dot.categ, "):\ndot.color: ", paste(dot.color, collapse = " "), "\ndot.categ LEVELS: ", paste(levels(data1[, dot.categ]), collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else if(length(dot.color) == 1 & length(dot.categ.class.order) > 1){ # to deal with single color
-dot.color <- rep(dot.color, length(dot.categ.class.order))
-}
-data1 <- data.frame(data1, dot.color = data1[, dot.categ], stringsAsFactors = TRUE)
-data1$dot.color <- factor(data1$dot.color, labels = dot.color) # do not use labels = unique(dot.color). Otherwise, we can have green1 green2 when dot.color is c("green", "green")
-dot.color <- as.character(unique(data1$dot.color[order(data1[, dot.categ])])) # reorder the dot.color character vector
-if(length(dot.color) == 1 & length(dot.categ.class.order) > 1){ # to deal with single color
-dot.color <- rep(dot.color, length(dot.categ.class.order))
-}
-tempo.check <- unique(data1[ , c(dot.categ, "dot.color")])
-if(length(unique(data1[ , "dot.color"])) > 1 & ( ! (nrow(tempo.check) == length(unique(data1[ , "dot.color"])) & nrow(tempo.check) == length(unique(data1[ , dot.categ]))))){ # length(unique(data1[ , "dot.color"])) > 1 because if only one color, can be attributed to each class of dot.categ
-tempo.cat <- paste0("ERROR IN ", function.name, "\ndot.color ARGUMENT IS INCORRECTLY ASSOCIATED TO EACH CLASS OF dot.categ (", dot.categ, ") COLUMN:\n", paste(unique(mapply(FUN = "paste", data1[ , dot.categ], data1[ ,"dot.color"])), collapse = "\n"))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN dot.categ ARGUMENT (", ini.dot.categ, "), THE FOLLOWING COLORS OF DOTS:\n", paste(dot.color, collapse = " "), "\nHAVE BEEN ATTRIBUTED TO THESE CLASSES:\n", paste(levels(data1[, dot.categ]), collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# dot.color is a character string representing the diff classes of dot.categ
-# data1$dot.color is a factor with order of levels -> dot.categ
-# end optional legend of dot colors
-}else{
-categ.len <- length(categ) # if only categ1, then colors for classes of categ1, if length(categ) == 2, then colors for classes of categ2
-if(length(dot.color) == length(levels(data1[, categ[categ.len]]))){ # here length(dot.color) is equal to the different number of categ
-# data1[, categ[categ.len]] <- factor(data1[, categ[categ.len]]) # not required because sure that is is a factor
-data1 <- data.frame(data1, dot.color = data1[, categ[categ.len]], stringsAsFactors = TRUE)
-data1$dot.color <- factor(data1$dot.color, labels = dot.color)
-if(box.alpha != 0){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN ", categ[categ.len], " OF categ ARGUMENT, THE FOLLOWING COLORS:\n", paste(dot.color, collapse = " "), "\nHAVE BEEN ATTRIBUTED TO THESE CLASSES:\n", paste(levels(factor(data1[, categ[categ.len]])), collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}else if(length(dot.color) == length(data1[, categ[categ.len]])){# here length(dot.color) is equal to nrow(data1) -> Modif to have length(dot.color) equal to the different number of categ (length(dot.color) == length(levels(data1[, categ[categ.len]])))
-data1 <- data.frame(data1, dot.color = dot.color, stringsAsFactors = TRUE)
-}else if(length(dot.color) == 1 & ! all(dot.color == "same")){
-# data1[, categ[categ.len]] <- factor(data1[, categ[categ.len]]) # not required because sure that is is a factor
-data1 <- data.frame(data1, dot.color = dot.color, stringsAsFactors = TRUE)
-dot.color <- rep(dot.color, length(levels(data1[, categ[categ.len]])))
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") dot.color ARGUMENT HAS LENGTH 1, MEANING THAT ALL THE DIFFERENT CLASSES OF ", categ[categ.len], "\n", paste(levels(factor(data1[, categ[categ.len]])), collapse = " "), "\nWILL HAVE THE SAME COLOR\n", paste(dot.color, collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}else{
-tempo.cat <- paste0("ERROR IN ", function.name, "\ndot.color ARGUMENT MUST BE (1) LENGTH 1, OR (2) THE LENGTH OF data1 NROWS AFTER NA/Inf REMOVAL, OR (3) THE LENGTH OF THE CLASSES IN THE categ ", categ[categ.len], " COLUMN. HERE IT IS COLOR LENGTH ", length(dot.color), " VERSUS CATEG LENGTH ", length(data1[, categ[categ.len]]), " AND CATEG CLASS LENGTH ", length(unique(data1[, categ[categ.len]])), "\nPRESENCE OF NA/Inf COULD BE THE PROBLEM")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# end check the length of color
-dot.color <- as.character(dot.color)
-# dot.color is a character string representing the diff classes
-data1$dot.color <- factor(data1$dot.color, levels = unique(dot.color)) # ok because if dot.color is a character string, the order make class 1, class 2, etc. If dot.color is a column of data1, then levels will be created, without incidence, except if dot.categ specified (see below). unique() because no duplicates allowed
-# data1$dot.color is a factor with order of levels -> dot.color
-}
-# end optional legend of dot colors
-}else if(is.null(dot.color) & ! (is.null(dot.categ) & is.null(dot.categ.class.order) & is.null(dot.legend.name))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") dot.categ OR dot.categ.class.order OR dot.legend.name ARGUMENT HAS BEEN SPECIFIED BUT dot.color ARGUMENT IS NULL (NO DOT PLOTTED)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# dot.color either NULL (no dot plotted) or character string (potentially representing the diff classes of dot.categ)
-# data1$dot.color is either NA or a factor (with order of levels -> depending on dot.categ or categ[length(categ)], or other
-if(is.null(dot.categ)){
-dot.categ.class.order <- NULL # because not used anyway
-}
-# dot.categ.class.order either NULL if dot.categ is NULL (no legend displayed) or character string (potentially representing the diff classes of dot.categ)
-# end management of dot.color
-if(is.null(dot.color) & box.fill == FALSE & dot.alpha <= 0.025){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE FOLLOWING ARGUMENTS WERE SET AS:\ndot.color = NULL (NOT ALL DOTS BUT ONLY POTENTIAL OUTLIER DOTS DISPLAYED)\nbox.fill = FALSE (NO FILLING COLOR FOR BOTH BOXES AND POTENTIAL OUTLIER DOTS)\ndot.alpha = ", fun_round(dot.alpha, 4), "\n-> POTENTIAL OUTLIER DOTS MIGHT NOT BE VISIBLE BECAUSE ALMOST TRANSPARENT")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-if(is.null(dot.color) & box.fill == FALSE & dot.border.size == 0){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nTHE FOLLOWING ARGUMENTS WERE SET AS:\ndot.color = NULL (NOT ALL DOTS BUT ONLY POTENTIAL OUTLIER DOTS DISPLAYED)\nbox.fill = FALSE (NO FILLING COLOR FOR BOTH BOXES AND POTENTIAL OUTLIER DOTS)\ndot.border.size = 0 (NO BORDER FOR POTENTIAL OUTLIER DOTS)\n-> THESE SETTINGS ARE NOT ALLOWED BECAUSE THE POTENTIAL OUTLIER DOTS WILL NOT BE VISIBLE")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# integer dot.border.color into gg_palette
-if( ! is.null(dot.border.color)){
-tempo <- fun_check(data = dot.border.color, class = "vector", typeof = "integer", double.as.integer.allowed = TRUE, length = 1, fun.name = function.name)
-if(tempo$problem == FALSE){ # convert integers into colors
-dot.border.color <- fun_gg_palette(max(dot.border.color, na.rm = TRUE))[dot.border.color]
-}
-}
-# end integer dot.border.color into gg_palette
-# na detection and removal (done now to be sure of the correct length of categ)
-column.check <- c("categ.color", if( ! is.null(dot.color)){"dot.color"}) #
-if(any(is.na(data1[, column.check]))){ # data1 used here instead of data1.ini in case of new NaN created by log conversion (neg values)
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NA DETECTED IN COLUMNS ", paste(column.check, collapse = " "), " OF data1 AND CORRESPONDING ROWS REMOVED (SEE $removed.row.nb AND $removed.rows)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-for(i2 in 1:length(column.check)){
-if(any(is.na(data1[, column.check[i2]]))){
-tempo.warn <- paste0("NA REMOVAL DUE TO COLUMN ", column.check[i2], " OF data1")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n", tempo.warn)))
-}
-}
-tempo <- unique(unlist(lapply(lapply(c(data1[column.check]), FUN = is.na), FUN = which)))
-removed.row.nb <- c(removed.row.nb, tempo)
-removed.rows <- rbind(removed.rows, data1[tempo, ], stringsAsFactors = FALSE) # here data1 used because categorical columns tested
-if(length(tempo) != 0){
-data1 <- data1[-tempo, ] # WARNING tempo here and not removed.row.nb because the latter contain more numbers thant the former
-data1.ini <- data1.ini[-tempo, ] # WARNING tempo here and not removed.row.nb because the latter contain more numbers thant the former
-for(i3 in 1:length(column.check)){
-if(any( ! unique(removed.rows[, column.check[i3]]) %in% unique(data1[, column.check[i3]]))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN COLUMN ", column.check[i3], " OF data1, THE FOLLOWING CLASSES HAVE DISAPPEARED AFTER NA/Inf REMOVAL (IF COLUMN USED IN THE PLOT, THIS CLASS WILL NOT BE DISPLAYED):\n", paste(unique(removed.rows[, column.check[i3]])[ ! unique(removed.rows[, column.check[i3]]) %in% unique(data1[, column.check[i3]])], collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-}
-for(i2 in 1:length(column.check)){
-if(column.check[i2] == "categ.color"){
-categ.color <- levels(data1[, column.check[i2]])[levels(data1[, column.check[i2]]) %in% unique(data1[, column.check[i2]])] # remove the absent color in the character vector
-if(length(categ.color) == 1 & length(unlist(categ.class.order[length(categ)])) > 1){ # to deal with single color
-categ.color <- rep(categ.color, length(unlist(categ.class.order[length(categ)])))
-}
-data1[, column.check[i2]] <- factor(as.character(data1[, column.check[i2]]), levels = unique(categ.color))
-}
-if(column.check[i2] == "dot.color"){
-dot.color <- levels(data1[, column.check[i2]])[levels(data1[, column.check[i2]]) %in% unique(data1[, column.check[i2]])] # remove the absent color in the character vector
-if(length(dot.color) == 1 & length(dot.categ.class.order) > 1){ # to deal with single color. If dot.categ.class.order == NULL (which is systematically the case if dot.categ == NULL), no rep(dot.color, length(dot.categ.class.order)
-dot.color <- rep(dot.color, length(dot.categ.class.order))
-}
-data1[, column.check[i2]] <- factor(as.character(data1[, column.check[i2]]), levels = unique(dot.color))
-}
-}
-}
-# end na detection and removal (done now to be sure of the correct length of categ)
-# From here, data1 and data.ini have no more NA or NaN
-
-
-
-# end second round of checking and data preparation
-
-
-# package checking
-fun_pack(req.package = c(
-"ggplot2",
-"gridExtra",
-"scales"
-), lib.path = lib.path)
-# end package checking
-
-
-
-
-
-# main code
-# y coordinates recovery (create ini.box.coord, dot.coord and modify data1)
-if(length(categ) == 1){
-# width commputations
-box.width2 <- box.width
-box.space <- 0 # to inactivate the shrink that add space between grouped boxes, because no grouped boxes here
-# end width commputations
-# data1 check categ order for dots coordinates recovery
-data1 <- data.frame(data1, categ.check = data1[, categ[1]], stringsAsFactors = TRUE)
-data1$categ.check <- as.integer(data1$categ.check) # to check that data1[, categ[1]] and dot.coord$group are similar, during merging
-# end data1 check categ order for dots coordinates recovery
-# per box dots coordinates recovery
-tempo.gg.name <- "gg.indiv.plot."
-tempo.gg.count <- 0
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), eval(parse(text = paste0("ggplot2::ggplot()", if(is.null(add)){""}else{add})))) # add added here to have the facets
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_point(data = data1, mapping = ggplot2::aes_string(x = categ[1], y = y, color = categ[1]), stroke = dot.border.size, size = dot.size, alpha = dot.alpha, shape = 21))
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "color", name = box.legend.name, values = if(is.null(dot.color)){rep(NA, length(unique(data1[, categ[1]])))}else if(length(dot.color) == 1){rep(dot.color, length(unique(data1[, categ[1]])))}else{dot.color}))
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_boxplot(data = data1, mapping = ggplot2::aes_string(x = categ[1], y = y, fill = categ[1]), coef = if(box.whisker.kind == "no"){0}else if(box.whisker.kind == "std"){1.5}else if(box.whisker.kind == "max"){Inf})) # fill because this is what is used with geom_box # to easily have the equivalent of the grouped boxes
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "fill", name = box.legend.name, values = if(length(categ.color) == 1){rep(categ.color, length(unique(data1[, categ[1]])))}else{categ.color}))
-# end per box dots coordinates recovery
-}else if(length(categ) == 2){
-# width commputations
-box.width2 <- box.width / length(unique(data1[, categ[length(categ)]])) # real width of each box in x-axis unit, among the set of grouped box. Not relevant if no grouped boxes length(categ) == 1
-# end width commputations
-# data1 check categ order for dots coordinates recovery
-tempo.factor <- paste0(data1[order(data1[, categ[2]], data1[, categ[1]]), categ[2]], "_", data1[order(data1[, categ[2]], data1[, categ[1]]), categ[1]])
-data1 <- data.frame(data1[order(data1[, categ[2]], data1[, categ[1]]), ], categ.check = factor(tempo.factor, levels = unique(tempo.factor)), stringsAsFactors = TRUE)
-data1$categ.check <- as.integer(data1$categ.check)
-# end data1 check categ order for dots coordinates recovery
-# per box dots coordinates recovery
-tempo.gg.name <- "gg.indiv.plot."
-tempo.gg.count <- 0
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), eval(parse(text = paste0("ggplot2::ggplot()", if(is.null(add)){""}else{add})))) # add added here to have the facets
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_point(data = data1, mapping = ggplot2::aes_string(x = categ[1], y = y, color = categ[2]), stroke = dot.border.size, size = dot.size, alpha = dot.alpha, shape = 21))
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "color", name = box.legend.name, values = if(is.null(dot.color)){rep(NA, length(unique(data1[, categ[2]])))}else if(length(dot.color) == 1){rep(dot.color, length(unique(data1[, categ[2]])))}else{dot.color}))
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_boxplot(data = data1, mapping = ggplot2::aes_string(x = categ[1], y = y, fill = categ[2]), coef = if(box.whisker.kind == "no"){0}else if(box.whisker.kind == "std"){1.5}else if(box.whisker.kind == "max"){Inf})) # fill because this is what is used with geom_box # to easily have the equivalent of the grouped boxes
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "fill", name = box.legend.name, values = if(length(categ.color) == 1){rep(categ.color, length(unique(data1[, categ[2]])))}else{categ.color}))
-# end per box dots coordinates recovery
-}else{
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nCODE INCONSISTENCY 1")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-if( ! is.null(stat.disp)){
-stat.just <- fun_gg_just(
-angle = stat.angle,
-pos = ifelse(
-vertical == TRUE,
-ifelse(stat.disp == "top", "bottom", "top"), # "bottom" because we want justification for text that are below the ref point which is the top of the graph. The opposite for "above"
-ifelse(stat.disp == "top", "left", "right") # "left" because we want justification for text that are on the left of the ref point which is the right border of the graph. The opposite for "above"
-),
-kind = "text"
-)
-}
-# has in fact no interest because ggplot2 does not create room for geom_text()
-tempo.data.max <- data1[which.max(data1[, y]), ]
-tempo.data.max <- data.frame(tempo.data.max, label = formatC(tempo.data.max[, y], digit = 2, drop0trailing = TRUE, format = "f"), stringsAsFactors = TRUE)
-# end has in fact no interest because ggplot2 does not create room for geom_text()
-tempo.graph.info.ini <- ggplot2::ggplot_build(eval(parse(text = paste(paste(paste0(tempo.gg.name, 1:tempo.gg.count), collapse = " + "), if( ! is.null(stat.disp)){' + ggplot2::geom_text(data = tempo.data.max, mapping = ggplot2::aes_string(x = 1, y = y, label = "label"), size = stat.size, color = "black", angle = stat.angle, hjust = stat.just$hjust, vjust = stat.just$vjust)'})))) # added here to have room for annotation
-dot.coord <- tempo.graph.info.ini$data[[1]]
-dot.coord$x <- as.numeric(dot.coord$x) # because weird class
-dot.coord$PANEL <- as.numeric(dot.coord$PANEL) # because numbers as levels. But may be a problem is facet are reordered ?
-tempo.mean <- aggregate(x = dot.coord$y, by = list(dot.coord$group, dot.coord$PANEL), FUN = mean, na.rm = TRUE)
-names(tempo.mean)[names(tempo.mean) == "x"] <- "MEAN"
-names(tempo.mean)[names(tempo.mean) == "Group.1"] <- "BOX"
-names(tempo.mean)[names(tempo.mean) == "Group.2"] <- "PANEL"
-dot.coord <- data.frame(
-dot.coord[order(dot.coord$group, dot.coord$y), ], # dot.coord$PANEL deals below
-y.check = as.double(data1[order(data1$categ.check, data1[, y]), y]),
-categ.check = data1[order(data1$categ.check, data1[, y]), "categ.check"],
-dot.color = if(is.null(dot.color)){NA}else{data1[order(data1$categ.check, data1[, y]), "dot.color"]},
-data1[order(data1$categ.check, data1[, y]), ][categ], # avoid the renaming below
-stringsAsFactors = TRUE
-) # y.check to be sure that the order is the same between the y of data1 and the y of dot.coord
-# names(dot.coord)[names(dot.coord) == "tempo.categ1"] <- categ[1]
-if( ! is.null(dot.categ)){
-dot.coord <- data.frame(dot.coord, data1[order(data1$categ.check, data1[, y]), ][dot.categ], stringsAsFactors = TRUE) # avoid the renaming
-}
-if( ! is.null(facet.categ)){
-dot.coord <- data.frame(dot.coord, data1[order(data1$categ.check, data1[, y]), ][facet.categ], stringsAsFactors = TRUE) # for facet panels
-tempo.test <- NULL
-for(i2 in 1:length(facet.categ)){
-tempo.test <- paste0(tempo.test, ".", formatC(as.numeric(dot.coord[, facet.categ[i2]]), width = nchar(max(as.numeric(dot.coord[, facet.categ[i2]]), na.rm = TRUE)), flag = "0")) # convert factor into numeric with leading zero for proper ranking # merge the formatC() to create a new factor. The convertion to integer should recreate the correct group number. Here as.numeric is used and not as.integer in case of numeric in facet.categ (because comes from add and not checked by fun_check, contrary to categ)
-}
-tempo.test <- as.integer(factor(tempo.test))
-if( ! identical(as.integer(dot.coord$PANEL), tempo.test)){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nas.integer(dot.coord$PANEL) AND tempo.test MUST BE IDENTICAL. CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-if(dot.tidy == TRUE){
-if( ! is.null(dot.categ)){
-dot.coord <- data.frame(dot.coord, tidy_group = data1[order(data1$categ.check, data1[, y]), ][, dot.categ], stringsAsFactors = TRUE) # avoid the renaming
-# tidy_group_coord is to be able to fuse table when creating the table for dot coordinates
-if(dot.categ %in% categ){
-dot.coord <- data.frame(dot.coord, tidy_group_coord = dot.coord$group, stringsAsFactors = TRUE)
-}else{
-dot.coord <- data.frame(dot.coord, tidy_group_coord = as.integer(factor(paste0(
-formatC(as.integer(dot.coord[, categ[1]]), width = nchar(max(as.integer(dot.coord[, categ[1]]), na.rm = TRUE)), flag = "0"), # convert factor into numeric with leading zero for proper ranking
-".",
-if(length(categ) == 2){formatC(as.integer(dot.coord[, categ[2]]), width = nchar(max(as.integer(dot.coord[, categ[2]]), na.rm = TRUE)), flag = "0")}, # convert factor into numeric with leading zero for proper ranking
-if(length(categ) == 2){"."},
-formatC(as.integer(dot.coord[, dot.categ]), width = nchar(max(as.integer(dot.coord[, dot.categ]), na.rm = TRUE)), flag = "0") # convert factor into numeric with leading zero for proper ranking
-)), stringsAsFactors = TRUE) # merge the 2 or 3 formatC() to create a new factor. The convertion to integer should recreate the correct group number
-) # for tidy dot plots
-}
-}else{
-dot.coord <- data.frame(dot.coord, tidy_group = if(length(categ) == 1){
-dot.coord[, categ]}else{as.integer(factor(paste0(
-formatC(as.integer(dot.coord[, categ[1]]), width = nchar(max(as.integer(dot.coord[, categ[1]]), na.rm = TRUE)), flag = "0"), # convert factor into numeric with leading zero for proper ranking
-".",
-formatC(as.integer(dot.coord[, categ[2]]), width = nchar(max(as.integer(dot.coord[, categ[2]]), na.rm = TRUE)), flag = "0")# convert factor into numeric with leading zero for proper ranking
-)), stringsAsFactors = TRUE) # merge the 2 formatC() to create a new factor. The convertion to integer should recreate the correct group number
-}) # for tidy dot plots
-# tidy_group_coord is to be able to fuse table when creating the table for dot coordinates
-dot.coord <- data.frame(dot.coord, tidy_group_coord = dot.coord$group, stringsAsFactors = TRUE)
-}
-}
-if( ! (identical(dot.coord$y, dot.coord$y.check) & identical(dot.coord$group, dot.coord$categ.check))){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\n(dot.coord$y AND dot.coord$y.check) AS WELL AS (dot.coord$group AND dot.coord$categ.check) MUST BE IDENTICAL. CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-if( ! identical(tempo.mean[order(tempo.mean$BOX, tempo.mean$PANEL), ]$BOX, unique(dot.coord[order(dot.coord$group, dot.coord$PANEL), c("group", "PANEL")])$group)){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\n(tempo.mean$BOX, tempo.mean$PANEL) AND (dot.coord$group, dot.coord$PANEL) MUST BE IDENTICAL. CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-tempo <- unique(dot.coord[order(dot.coord$group, dot.coord$PANEL), c(categ, if( ! is.null(dot.color) & ! is.null(dot.categ)){if(dot.categ != ini.dot.categ){dot.categ}}, if( ! is.null(facet.categ)){facet.categ}), drop = FALSE])
-# names(tempo) <- paste0(names(tempo), ".mean")
-tempo.mean <- data.frame(tempo.mean[order(tempo.mean$BOX, tempo.mean$PANEL), ], tempo, stringsAsFactors = TRUE)
-}
-}
-# at that stage, categ color and dot color are correctly attributed in data1, box.coord and dot.coord
-# end y dot coordinates recovery (create ini.box.coord, dot.coord and modify data1)
-# ylim range
-if(is.null(y.lim)){
-y.lim <- tempo.graph.info.ini$layout$panel_params[[1]]$y.range # finite = TRUE removes all the -Inf and Inf except if only this. In that case, whatever the -Inf and/or Inf present, output -Inf;Inf range. Idem with NA only
-if(any(( ! is.finite(y.lim)) | is.na(y.lim)) | length(y.lim) != 2){ # kept but normally no more Inf in data1
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\ntempo.graph.info.ini$layout$panel_params[[1]]$y.range[1] CONTAINS NA OR Inf OR HAS LENGTH 1")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}else if(y.log != "no"){
-y.lim <- get(y.log)(y.lim) # no env = sys.nframe(), inherit = FALSE in get() because look for function in the classical scope
-}
-if(y.log != "no"){
-# normally this control is not necessary anymore
-if(any( ! is.finite(y.lim))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ny.lim ARGUMENT CANNOT HAVE ZERO OR NEGATIVE VALUES WITH THE y.log ARGUMENT SET TO ", y.log, ":\n", paste(y.lim, collapse = " "), "\nPLEASE, CHECK DATA VALUES (PRESENCE OF ZERO OR INF VALUES)")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-if(suppressWarnings(all(y.lim %in% c(Inf, -Inf)))){
-# normally this control is not necessary anymore
-tempo.cat <- paste0("ERROR IN ", function.name, " y.lim CONTAINS Inf VALUES, MAYBE BECAUSE VALUES FROM data1 ARGUMENTS ARE NA OR Inf ONLY OR BECAUSE OF LOG SCALE REQUIREMENT")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-if(suppressWarnings(any(is.na(y.lim)))){
-# normally this control is not necessary anymore
-tempo.cat <- paste0("ERROR IN ", function.name, " y.lim CONTAINS NA OR NaN VALUES, MAYBE BECAUSE VALUES FROM data1 ARGUMENTS ARE NA OR Inf ONLY OR BECAUSE OF LOG SCALE REQUIREMENT")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-y.lim.order <- order(y.lim) # to deal with inverse axis
-y.lim <- sort(y.lim)
-y.lim[1] <- y.lim[1] - abs(y.lim[2] - y.lim[1]) * ifelse(diff(y.lim.order) > 0, y.bottom.extra.margin, y.top.extra.margin) # diff(y.lim.order) > 0 medians not inversed axis
-y.lim[2] <- y.lim[2] + abs(y.lim[2] - y.lim[1]) * ifelse(diff(y.lim.order) > 0, y.top.extra.margin, y.bottom.extra.margin) # diff(y.lim.order) > 0 medians not inversed axis
-if(y.include.zero == TRUE){ # no need to check y.log != "no" because done before
-y.lim <- range(c(y.lim, 0), na.rm = TRUE, finite = TRUE) # finite = TRUE removes all the -Inf and Inf except if only this. In that case, whatever the -Inf and/or Inf present, output -Inf;Inf range. Idem with NA only
-}
-y.lim <- y.lim[y.lim.order]
-if(any(is.na(y.lim))){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nCODE INCONSISTENCY 2")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# end ylim range
-
-
-
-
-
-
-# drawing
-# constant part
-tempo.gg.name <- "gg.indiv.plot."
-tempo.gg.count <- 0
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), eval(parse(text = paste0("ggplot2::ggplot()", if(is.null(add)){""}else{add})))) # add is directly put here to deal with additional variable of data, like when using facet_grid. No problem if add is a theme, will be dealt below
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::xlab(if(is.null(x.lab)){categ[1]}else{x.lab}))
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::ylab(if(is.null(y.lab)){y}else{y.lab}))
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::ggtitle(title))
-# text angle management
-axis.just <- fun_gg_just(angle = x.angle, pos = ifelse(vertical == TRUE, "bottom", "left"), kind = "axis")
-# end text angle management
-add.check <- TRUE
-if( ! is.null(add)){ # if add is NULL, then = 0
-if(grepl(pattern = "ggplot2\\s*::\\s*theme", add) == TRUE){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") \"ggplot2::theme\" STRING DETECTED IN THE add ARGUMENT\n-> INTERNAL GGPLOT2 THEME FUNCTIONS theme() AND theme_classic() HAVE BEEN INACTIVATED, TO BE USED BY THE USER\n-> article ARGUMENT WILL BE IGNORED")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-add.check <- FALSE
-}
-}
-if(add.check == TRUE & article == TRUE){
-# WARNING: not possible to add theme()several times. NO message but the last one overwrites the others
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::theme_classic(base_size = text.size))
-if(grid == TRUE){
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), m.gg <- ggplot2::theme(
-text = ggplot2::element_text(size = text.size),
-plot.title = ggplot2::element_text(size = title.text.size), # stronger than text
-line = ggplot2::element_line(size = 0.5),
-legend.key = ggplot2::element_rect(color = "white", size = 1.5), # size of the frame of the legend
-axis.line.y.left = ggplot2::element_line(colour = "black"), # draw lines for the y axis
-axis.line.x.bottom = ggplot2::element_line(colour = "black"), # draw lines for the x axis
-panel.grid.major.x = if(vertical == TRUE){NULL}else{ggplot2::element_line(colour = "grey85", size = 0.75)},
-panel.grid.major.y = if(vertical == TRUE){ggplot2::element_line(colour = "grey85", size = 0.75)}else{NULL},
-panel.grid.minor.y = if(vertical == TRUE){ggplot2::element_line(colour = "grey90", size = 0.25)}else{NULL},
-axis.text.x = if(vertical == TRUE){ggplot2::element_text(angle = axis.just$angle, hjust = axis.just$hjust, vjust = axis.just$vjust)}else{NULL},
-axis.text.y = if(vertical == TRUE){NULL}else{ggplot2::element_text(angle = axis.just$angle, hjust = axis.just$hjust, vjust = axis.just$vjust)},
-strip.background = ggplot2::element_rect(fill = NA, colour = NA) # for facet background
-))
-}else{
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), m.gg <- ggplot2::theme(
-text = ggplot2::element_text(size = text.size),
-plot.title = ggplot2::element_text(size = title.text.size), # stronger than text
-line = ggplot2::element_line(size = 0.5),
-legend.key = ggplot2::element_rect(color = "white", size = 1.5), # size of the frame of the legend
-axis.line.y.left = ggplot2::element_line(colour = "black"),
-axis.line.x.bottom = ggplot2::element_line(colour = "black"),
-axis.text.x = if(vertical == TRUE){ggplot2::element_text(angle = axis.just$angle, hjust = axis.just$hjust, vjust = axis.just$vjust)}else{NULL},
-axis.text.y = if(vertical == TRUE){NULL}else{ggplot2::element_text(angle = axis.just$angle, hjust = axis.just$hjust, vjust = axis.just$vjust)},
-strip.background = ggplot2::element_rect(fill = NA, colour = NA)
-))
-}
-}else if(add.check == TRUE & article == FALSE){
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), m.gg <- ggplot2::theme(
-text = ggplot2::element_text(size = text.size),
-plot.title = ggplot2::element_text(size = title.text.size), # stronger than text
-line = ggplot2::element_line(size = 0.5),
-legend.key = ggplot2::element_rect(color = "white", size = 1.5), # size of the frame of the legend
-panel.background = ggplot2::element_rect(fill = "grey95"),
-axis.line.y.left = ggplot2::element_line(colour = "black"),
-axis.line.x.bottom = ggplot2::element_line(colour = "black"),
-panel.grid.major.x = ggplot2::element_line(colour = "grey85", size = 0.75),
-panel.grid.major.y = ggplot2::element_line(colour = "grey85", size = 0.75),
-panel.grid.minor.x = ggplot2::element_blank(),
-panel.grid.minor.y = ggplot2::element_line(colour = "grey90", size = 0.25),
-strip.background = ggplot2::element_rect(fill = NA, colour = NA),
-axis.text.x = if(vertical == TRUE){ggplot2::element_text(angle = axis.just$angle, hjust = axis.just$hjust, vjust = axis.just$vjust)}else{NULL},
-axis.text.y = if(vertical == TRUE){NULL}else{ggplot2::element_text(angle = axis.just$angle, hjust = axis.just$hjust, vjust = axis.just$vjust)}
-))
-}
-# Contrary to fun_gg_bar(), cannot plot the boxplot right now, because I need the dots plotted first
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_boxplot(data = data1, mapping = ggplot2::aes_string(x = categ[1], y = y, group = categ[length(categ)]), position = ggplot2::position_dodge(width = NULL), color = NA, width = box.width, fill = NA)) # this is to set the graph (i.e., a blanck boxplot to be able to use x coordinates to plot dots before boxes)
-# end constant part
-
-
-
-
-# graphic info recovery (including means)
-tempo.graph.info <- ggplot2::ggplot_build(eval(parse(text = paste0(paste(paste0(tempo.gg.name, 1:tempo.gg.count), collapse = " + "), ' + ggplot2::geom_boxplot(data = data1, mapping = ggplot2::aes_string(x = categ[1], y = y, fill = categ[length(categ)]), position = ggplot2::position_dodge(width = NULL), width = box.width, notch = box.notch, coef = if(box.whisker.kind == "no"){0}else if(box.whisker.kind == "std"){1.5}else if(box.whisker.kind == "max"){Inf}) + ggplot2::scale_discrete_manual(aesthetics = "fill", name = box.legend.name, values = if(length(categ.color) == 1){rep(categ.color, length(unique(data1[, categ[length(categ)]])))}else{categ.color})')))) # will be recovered later again, when ylim will be considered
-tempo.yx.ratio <- (tempo.graph.info$layout$panel_params[[1]]$y.range[2] - tempo.graph.info$layout$panel_params[[1]]$y.range[1]) / (tempo.graph.info$layout$panel_params[[1]]$x.range[2] - tempo.graph.info$layout$panel_params[[1]]$x.range[1])
-box.coord <- tempo.graph.info$data[[2]] # to have the summary statistics of the plot. Contrary to ini.box.plot, now integrates ylim Here because can be required for stat.disp when just box are plotted
-box.coord$x <- as.numeric(box.coord$x) # because x is of special class that block comparison of values using identical
-box.coord$PANEL <- as.numeric(box.coord$PANEL) # because numbers as levels. But may be a problem is facet are reordered ?
-box.coord <- box.coord[order(box.coord$group, box.coord$PANEL), ]
-if( ! (identical(tempo.mean$BOX, box.coord$group) & identical(tempo.mean$PANEL, box.coord$PANEL))){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nidentical(tempo.mean$BOX, box.coord$group) & identical(tempo.mean$PANEL, box.coord$PANEL) DO NOT HAVE THE SAME VALUE ORDER")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-# tempo <- c(categ, if( ! is.null(dot.color) & ! is.null(dot.categ)){if(dot.categ != ini.dot.categ){dot.categ}}, if( ! is.null(facet.categ)){facet.categ})
-if(any(names(tempo.mean) %in% names(box.coord))){
-names(tempo.mean)[names(tempo.mean) %in% names(box.coord)] <- paste0(names(tempo.mean)[names(tempo.mean) %in% names(box.coord)], ".mean")
-}
-box.coord <- data.frame(box.coord, tempo.mean, stringsAsFactors = TRUE)
-}
-# end graphic info recovery (including means)
-
-
-
-# stat output (will also serve for boxplot and mean display)
-# x not added know to do not have them in stat.nolog
-stat <- data.frame(
-MIN = box.coord$ymin_final,
-QUART1 = box.coord$lower,
-MEDIAN = box.coord$middle,
-MEAN = box.coord$MEAN,
-QUART3 = box.coord$upper,
-MAX = box.coord$ymax_final,
-WHISK_INF = box.coord$ymin,
-BOX_INF = box.coord$lower,
-NOTCH_INF = box.coord$notchlower,
-NOTCH_SUP = box.coord$notchupper,
-BOX_SUP = box.coord$upper,
-WHISK_SUP = box.coord$ymax,
-OUTLIERS = box.coord["outliers"],
-tempo.mean[colnames(tempo.mean) != "MEAN"],
-COLOR = box.coord$fill,
-stringsAsFactors = TRUE
-) # box.coord["outliers"] written like this because it is a list. X coordinates not put now because several features to set
-names(stat)[names(stat) == "outliers"] <- "OUTLIERS"
-stat.nolog <- stat # stat.nolog ini will serve for outputs
-if(y.log != "no"){
-stat.nolog[c("MIN", "QUART1", "MEDIAN", "MEAN", "QUART3", "MAX", "WHISK_INF", "BOX_INF", "NOTCH_INF", "NOTCH_SUP", "BOX_SUP", "WHISK_SUP")] <- ifelse(y.log == "log2", 2, 10)^(stat.nolog[c("MIN", "QUART1", "MEDIAN", "MEAN", "QUART3", "MAX", "WHISK_INF", "BOX_INF", "NOTCH_INF", "NOTCH_SUP", "BOX_SUP", "WHISK_SUP")])
-stat.nolog$OUTLIERS <- lapply(stat.nolog$OUTLIERS, FUN = function(X){ifelse(y.log == "log2", 2, 10)^X})
-}
-# end stat output (will also serve for boxplot and mean display)
-
-
-
-
-
-
-# x coordinates management (for random plotting and for stat display)
-# width commputations
-width.ini <- c(box.coord$xmax - box.coord$xmin)[1] # all the box widths are equal here. Only the first one taken
-width.correct <- width.ini * box.space / 2
-if( ! (identical(stat$BOX, box.coord$group) & identical(stat$PANEL, box.coord$PANEL))){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nidentical(stat$BOX, box.coord$group) & identical(stat$PANEL, box.coord$PANEL) MUST BE IDENTICAL. CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-stat <- data.frame(
-stat,
-X = box.coord$x,
-X_BOX_INF = box.coord$xmin + width.correct,
-X_BOX_SUP = box.coord$xmax - width.correct,
-X_NOTCH_INF = box.coord$x - (box.coord$x - (box.coord$xmin + width.correct)) / 2,
-X_NOTCH_SUP = box.coord$x + (box.coord$x - (box.coord$xmin + width.correct)) / 2,
-X_WHISK_INF = box.coord$x - (box.coord$x - (box.coord$xmin + width.correct)) * box.whisker.width,
-X_WHISK_SUP = box.coord$x + (box.coord$x - (box.coord$xmin + width.correct)) * box.whisker.width,
-# tempo.mean[colnames(tempo.mean) != "MEAN"], # already added above
-stringsAsFactors = TRUE
-)
-stat$COLOR <- factor(stat$COLOR, levels = unique(categ.color))
-if( ! all(stat$NOTCH_SUP < stat$BOX_SUP & stat$NOTCH_INF > stat$BOX_INF) & box.notch == TRUE){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") SOME NOTCHES ARE BEYOND BOX HINGES. TRY ARGUMENT box.notch = FALSE")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-dot.jitter <- c((box.coord$xmax - width.correct) - (box.coord$xmin + width.correct))[1] * dot.jitter # real dot.jitter. (box.coord$xmin + width.correct) - (box.coord$xmax - width.correct))[1] is the width of the box. Is equivalent to (box.coord$x - (box.coord$xmin + width.correct))[1] * 2
-# end width commputations
-if( ! is.null(dot.color)){
-# random dots
-if(dot.tidy == FALSE){
-dot.coord.rd1 <- merge(dot.coord, box.coord[c("fill", "PANEL", "group", "x")], by = c("PANEL", "group"), sort = FALSE) # rd for random. Send the coord of the boxes into the coord data.frame of the dots (in the column x.y). WARNING: by = c("PANEL", "group") without fill column because PANEL & group columns are enough as only one value of x column per group number in box.coord. Thus, no need to consider fill column
-if(nrow(dot.coord.rd1) != nrow(dot.coord)){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nTHE merge() FUNCTION DID NOT RETURN A CORRECT dot.coord.rd1 DATA FRAME. CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-sampled.dot.jitter <- if(nrow(dot.coord.rd1) == 1){runif(n = nrow(dot.coord.rd1), min = - dot.jitter / 2, max = dot.jitter / 2)}else{sample(x = runif(n = nrow(dot.coord.rd1), min = - dot.jitter / 2, max = dot.jitter / 2), size = nrow(dot.coord.rd1), replace = FALSE)}
-dot.coord.rd2 <- data.frame(dot.coord.rd1, dot.x = dot.coord.rd1$x.y + sampled.dot.jitter, stringsAsFactors = TRUE) # set the dot.jitter thanks to runif and dot.jitter range. Then, send the coord of the boxes into the coord data.frame of the dots (in the column x.y)
-if(length(categ) == 1){
-tempo.data1 <- unique(data.frame(data1[categ[1]], group = as.integer(data1[, categ[1]]), stringsAsFactors = TRUE)) # categ[1] is factor
-names(tempo.data1)[names(tempo.data1) == categ[1]] <- paste0(categ[1], ".check")
-verif <- paste0(categ[1], ".check")
-}else if(length(categ) == 2){
-tempo.data1 <- unique(
-data.frame(
-data1[c(categ[1], categ[2])],
-group = as.integer(factor(paste0(
-formatC(as.integer(data1[, categ[2]]), width = nchar(max(as.integer(data1[, categ[2]]), na.rm = TRUE)), flag = "0"), # convert factor into numeric with leading zero for proper ranking
-".",
-formatC(as.integer(data1[, categ[1]]), width = nchar(max(as.integer(data1[, categ[1]]), na.rm = TRUE)), flag = "0")# convert factor into numeric with leading zero for proper ranking
-)), stringsAsFactors = TRUE) # merge the 2 formatC() to create a new factor. The convertion to integer should recreate the correct group number
-)
-) # categ[2] first if categ[2] is used to make the categories in ggplot and categ[1] is used to make the x-axis
-names(tempo.data1)[names(tempo.data1) == categ[1]] <- paste0(categ[1], ".check")
-names(tempo.data1)[names(tempo.data1) == categ[2]] <- paste0(categ[2], ".check")
-verif <- c(paste0(categ[1], ".check"), paste0(categ[2], ".check"))
-}else{
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nCODE INCONSISTENCY 3")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-dot.coord.rd3 <- merge(dot.coord.rd2, tempo.data1, by = intersect("group", "group"), sort = FALSE) # send the factors of data1 into coord. WARNING: I have replaced by = "group" by intersect("group", "group") because of an error due to wrong group group merging in dot.coord.rd3
-if(nrow(dot.coord.rd3) != nrow(dot.coord) | ( ! fun_comp_2d(dot.coord.rd3[categ], dot.coord.rd3[verif])$identical.content)){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nTHE merge() FUNCTION DID NOT RETURN A CORRECT dot.coord.rd3 DATA FRAME. CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# end random dots
-}
-# tidy dots
-# coordinates are recovered during plotting (see dot.coord.tidy1 below)
-# end tidy dots
-}
-# end x coordinates management (for random plotting and for stat display)
-
-
-
-
-
-# boxplot display before dot display if box.fill = TRUE
-coord.names <- NULL
-# creation of the data frame for (main box + legend) and data frame for means
-if(box.notch == FALSE){
-for(i3 in 1:length(categ)){
-if(i3 == 1){
-tempo.polygon <- data.frame(GROUPX = c(t(stat[, rep(categ[i3], 5)])), stringsAsFactors = TRUE)
-}else{
-tempo.polygon <- cbind(tempo.polygon, c(t(stat[, rep(categ[i3], 5)])), stringsAsFactors = TRUE)
-}
-}
-names(tempo.polygon) <- categ
-tempo.polygon <- data.frame(X = c(t(stat[, c("X_BOX_INF", "X_BOX_SUP", "X_BOX_SUP", "X_BOX_INF", "X_BOX_INF")])), Y = c(t(stat[, c("BOX_INF", "BOX_INF", "BOX_SUP", "BOX_SUP", "BOX_INF")])), COLOR = c(t(stat[, c("COLOR", "COLOR", "COLOR", "COLOR", "COLOR")])), BOX = as.character(c(t(stat[, c("BOX", "BOX", "BOX", "BOX", "BOX")]))), tempo.polygon, stringsAsFactors = TRUE)
-if( ! is.null(facet.categ)){
-for(i4 in 1:length(facet.categ)){
-tempo.polygon <- data.frame(tempo.polygon, c(t(stat[, c(facet.categ[i4], facet.categ[i4], facet.categ[i4], facet.categ[i4], facet.categ[i4])])), stringsAsFactors = TRUE)
-names(tempo.polygon)[length(names(tempo.polygon))] <- facet.categ[i4]
-}
-}
-}else{
-for(i3 in 1:length(categ)){
-if(i3 == 1){
-tempo.polygon <- data.frame(GROUPX = c(t(stat[, rep(categ[i3], 11)])), stringsAsFactors = TRUE)
-}else{
-tempo.polygon <- cbind(tempo.polygon, c(t(stat[, rep(categ[i3], 11)])), stringsAsFactors = TRUE)
-}
-}
-names(tempo.polygon) <- categ
-tempo.polygon <- data.frame(X = c(t(stat[, c("X_BOX_INF", "X_BOX_SUP", "X_BOX_SUP", "X_NOTCH_SUP", "X_BOX_SUP", "X_BOX_SUP", "X_BOX_INF", "X_BOX_INF", "X_NOTCH_INF", "X_BOX_INF", "X_BOX_INF")])), Y = c(t(stat[, c("BOX_INF", "BOX_INF", "NOTCH_INF", "MEDIAN", "NOTCH_SUP", "BOX_SUP", "BOX_SUP", "NOTCH_SUP", "MEDIAN", "NOTCH_INF", "BOX_INF")])), COLOR = c(t(stat[, c("COLOR", "COLOR", "COLOR", "COLOR", "COLOR", "COLOR", "COLOR", "COLOR", "COLOR", "COLOR", "COLOR")])), BOX = as.character(c(t(stat[, c("BOX", "BOX", "BOX", "BOX", "BOX", "BOX", "BOX", "BOX", "BOX", "BOX", "BOX")]))), tempo.polygon, stringsAsFactors = TRUE)
-if( ! is.null(facet.categ)){
-for(i4 in 1:length(facet.categ)){
-tempo.polygon <- data.frame(tempo.polygon, c(t(stat[, c(facet.categ[i4], facet.categ[i4], facet.categ[i4], facet.categ[i4], facet.categ[i4], facet.categ[i4], facet.categ[i4], facet.categ[i4], facet.categ[i4], facet.categ[i4], facet.categ[i4])])), stringsAsFactors = TRUE)
-names(tempo.polygon)[length(names(tempo.polygon))] <- facet.categ[i4]
-}
-}
-}
-tempo.polygon$COLOR <- factor(tempo.polygon$COLOR, levels = unique(categ.color))
-if( ! is.null(categ.class.order)){
-for(i3 in 1:length(categ)){
-tempo.polygon[, categ[i3]] <- factor(tempo.polygon[, categ[i3]], levels = categ.class.order[[i3]])
-}
-}
-# modified name of dot.categ column (e.g., "Categ1_DOT") must be included for boxplot using ridy dots
-if( ! is.null(dot.color) & ! is.null(dot.categ)){
-if(dot.categ != ini.dot.categ){
-tempo.polygon <- data.frame(tempo.polygon, GROUPX = tempo.polygon[, ini.dot.categ], stringsAsFactors = TRUE)
-names(tempo.polygon)[names(tempo.polygon) == "GROUPX"] <- dot.categ
-
-}
-}
-tempo.diamon.mean <- data.frame(X = c(t(stat[, c("X", "X_NOTCH_INF", "X", "X_NOTCH_SUP", "X")])), Y = c(t(cbind(stat["MEAN"] - (stat[, "X"] - stat[, "X_NOTCH_INF"]) * tempo.yx.ratio, stat["MEAN"], stat["MEAN"] + (stat[, "X"] - stat[, "X_NOTCH_INF"]) * tempo.yx.ratio, stat["MEAN"], stat["MEAN"] - (stat[, "X"] - stat[, "X_NOTCH_INF"]) * tempo.yx.ratio, stringsAsFactors = TRUE))), COLOR = c(t(stat[, c("COLOR", "COLOR", "COLOR", "COLOR", "COLOR")])), GROUP = c(t(stat[, c("BOX", "BOX", "BOX", "BOX", "BOX")])), stringsAsFactors = TRUE) # stringsAsFactors = TRUE for cbind() because stat["MEAN"] is a data frame. Otherwise, stringsAsFactors is not an argument for cbind() on vectors
-if( ! is.null(facet.categ)){
-for(i3 in 1:length(facet.categ)){
-tempo.diamon.mean <- data.frame(tempo.diamon.mean, c(t(stat[, c(facet.categ[i3], facet.categ[i3], facet.categ[i3], facet.categ[i3], facet.categ[i3])])), stringsAsFactors = TRUE)
-names(tempo.diamon.mean)[length(names(tempo.diamon.mean))] <- facet.categ[i3]
-}
-}
-tempo.diamon.mean$COLOR <- factor(tempo.diamon.mean$COLOR, levels = unique(categ.color))
-# end creation of the data frame for (main box + legend) and data frame for means
-if(box.fill == TRUE){
-# assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_boxplot(data = data1, mapping = ggplot2::aes_string(x = categ[1], y = y, color = categ[length(categ)], fill = categ[length(categ)]), position = ggplot2::position_dodge(width = NULL), width = box.width, size = box.line.size, notch = box.notch, coef = if(box.whisker.kind == "no"){0}else if(box.whisker.kind == "std"){1.5}else if(box.whisker.kind == "max"){Inf}, alpha = box.alpha, outlier.shape = if( ! is.null(dot.color)){NA}else{21}, outlier.color = if( ! is.null(dot.color)){NA}else{dot.border.color}, outlier.fill = if( ! is.null(dot.color)){NA}else{NULL}, outlier.size = if( ! is.null(dot.color)){NA}else{dot.size}, outlier.stroke = if( ! is.null(dot.color)){NA}else{dot.border.size}, outlier.alpha = if( ! is.null(dot.color)){NA}else{dot.alpha})) # the color, size, etc. of the outliers are dealt here. outlier.color = NA to do not plot outliers when dots are already plotted. Finally, boxplot redrawn (see below)
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_polygon(
-data = tempo.polygon,
-mapping = ggplot2::aes_string(x = "X", y = "Y", group = "BOX", fill = categ[length(categ)], color = categ[length(categ)]),
-size = box.line.size,
-alpha = box.alpha # works only for fill, not for color
-))
-coord.names <- c(coord.names, "main.box")
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_segment(data = stat, mapping = ggplot2::aes(x = X, xend = X, y = BOX_SUP, yend = WHISK_SUP, group = categ[length(categ)]), color = "black", size = box.line.size, alpha = box.alpha)) #
-coord.names <- c(coord.names, "sup.whisker")
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_segment(data = stat, mapping = ggplot2::aes(x = X, xend = X, y = BOX_INF, yend = WHISK_INF, group = categ[length(categ)]), color = "black", size = box.line.size, alpha = box.alpha)) #
-coord.names <- c(coord.names, "inf.whisker")
-if(box.whisker.width > 0){
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_segment(data = stat, mapping = ggplot2::aes(x = X_WHISK_INF, xend = X_WHISK_SUP, y = WHISK_SUP, yend = WHISK_SUP, group = categ[length(categ)]), color = "black", size = box.line.size, alpha = box.alpha, lineend = "round")) #
-coord.names <- c(coord.names, "sup.whisker.edge")
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_segment(data = stat, mapping = ggplot2::aes(x = X_WHISK_INF, xend = X_WHISK_SUP, y = WHISK_INF, yend = WHISK_INF, group = categ[length(categ)]), color = "black", size = box.line.size, alpha = box.alpha, lineend = "round")) #
-coord.names <- c(coord.names, "inf.whisker.edge")
-}
-if(box.mean == TRUE){
-# assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_point(data = stat, mapping = ggplot2::aes_string(x = "X", y = "MEAN", group = categ[length(categ)]), shape = 23, stroke = box.line.size * 2, fill = stat$COLOR, size = box.mean.size, color = "black", alpha = box.alpha)) # group used in aesthetic to do not have it in the legend
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_polygon(
-data = tempo.diamon.mean,
-mapping = ggplot2::aes(x = X, y = Y, group = GROUP),
-fill = tempo.diamon.mean[, "COLOR"],
-color = hsv(0, 0, 0, alpha = box.alpha), # outline of the polygon in black but with alpha
-size = box.line.size,
-alpha = box.alpha
-))
-coord.names <- c(coord.names, "mean")
-}
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_segment(data = stat, mapping = ggplot2::aes(x = if(box.notch == FALSE){X_BOX_INF}else{X_NOTCH_INF}, xend = if(box.notch == FALSE){X_BOX_SUP}else{X_NOTCH_SUP}, y = MEDIAN, yend = MEDIAN, group = categ[length(categ)]), color = "black", size = box.line.size * 2, alpha = box.alpha)) #
-coord.names <- c(coord.names, "median")
-}
-# end boxplot display before dot display if box.fill = TRUE
-
-
-
-
-
-
-# dot display
-if( ! is.null(dot.color)){
-if(dot.tidy == FALSE){
-if(is.null(dot.categ)){
-if(dot.border.size == 0){
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_point(
-data = dot.coord.rd3,
-mapping = ggplot2::aes_string(x = "dot.x", y = "y", group = categ[length(categ)]),
-size = dot.size,
-shape = 19,
-color = dot.coord.rd3$dot.color,
-alpha = dot.alpha
-)) # group used in aesthetic to do not have it in the legend. Here ggplot2::scale_discrete_manual() cannot be used because of the group easthetic
-}else{
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_point(
-data = dot.coord.rd3,
-mapping = ggplot2::aes_string(x = "dot.x", y = "y", group = categ[length(categ)]),
-shape = 21,
-stroke = dot.border.size,
-color = if(is.null(dot.border.color)){dot.coord.rd3$dot.color}else{rep(dot.border.color, nrow(dot.coord.rd3))},
-size = dot.size,
-fill = dot.coord.rd3$dot.color,
-alpha = dot.alpha
-)) # group used in aesthetic to do not have it in the legend. Here ggplot2::scale_discrete_manual() cannot be used because of the group easthetic
-}
-}else{
-if(dot.border.size == 0){
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_point(
-data = dot.coord.rd3,
-mapping = ggplot2::aes_string(x = "dot.x", y = "y", alpha = dot.categ),
-size = dot.size,
-shape = 19,
-color = dot.coord.rd3$dot.color
-)) # group used in aesthetic to do not have it in the legend. Here ggplot2::scale_discrete_manual() cannot be used because of the group easthetic
-}else{
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_point(
-data = dot.coord.rd3,
-mapping = ggplot2::aes_string(x = "dot.x", y = "y", alpha = dot.categ),
-size = dot.size,
-shape = 21,
-stroke = dot.border.size,
-color = if(is.null(dot.border.color)){dot.coord.rd3$dot.color}else{rep(dot.border.color, nrow(dot.coord.rd3))},
-fill = dot.coord.rd3$dot.color
-)) # group used in aesthetic to do not have it in the legend. Here ggplot2::scale_discrete_manual() cannot be used because of the group easthetic
-}
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "alpha", name = dot.legend.name, values = rep(dot.alpha, length(dot.categ.class.order)), guide = ggplot2::guide_legend(override.aes = list(fill = dot.color, color = if(is.null(dot.border.color)){dot.color}else{dot.border.color}, stroke = dot.border.size, alpha = dot.alpha)))) # values are the values of color (which is the border color in geom_box. WARNING: values = categ.color takes the numbers to make the colors if categ.color is a factor
-}
-coord.names <- c(coord.names, "dots")
-}else if(dot.tidy == TRUE){
-# here plot using group -> no scale
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_dotplot(
-data = dot.coord,
-mapping = ggplot2::aes_string(x = categ[1], y = "y", group = "group"), # not dot.categ here because the classes of dot.categ create new separations
-position = ggplot2::position_dodge(width = box.width),
-binpositions = "all",
-binaxis = "y",
-stackdir = "center",
-alpha = dot.alpha,
-fill = dot.coord$dot.color,
-stroke = dot.border.size,
-color = if(is.null(dot.border.color)){dot.coord$dot.color}else{rep(dot.border.color, nrow(dot.coord))},
-show.legend = FALSE, # WARNING: do not use show.legend = TRUE because it uses the arguments outside aes() as aesthetics (here color and fill). Thus I must find a way using ggplot2::scale_discrete_manual()
-binwidth = (y.lim[2] - y.lim[1]) / dot.tidy.bin.nb
-)) # geom_dotplot ggplot2 v3.3.0: I had to remove rev() in fill and color # very weird behavior of geom_dotplot ggplot2 v3.2.1, (1) because with aes group = (to avoid legend), the dot plotting is not good in term of coordinates, and (2) because data1 seems reorderer according to x = categ[1] before plotting. Thus, I have to use fill = dot.coord[rev(order(dot.coord[, categ[1]], decreasing = TRUE)), "dot.color"] to have the good corresponding colors # show.legend option do not remove the legend, only the aesthetic of the legend (dot, line, etc.)
-coord.names <- c(coord.names, "dots")
-if( ! is.null(dot.categ)){
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_dotplot(
-data = dot.coord,
-mapping = ggplot2::aes_string(x = categ[1], y = "y", alpha = dot.categ), # not dot.categ here because the classes of dot.categ create new separations
-position = ggplot2::position_dodge(width = box.width),
-binpositions = "all",
-binaxis = "y",
-stackdir = "center",
-fill = NA,
-stroke = NA,
-color = NA,
-# WARNING: do not use show.legend = TRUE because it uses the arguments outside aes() as aesthetics (here color and fill). Thus I must find a way using ggplot2::scale_discrete_manual()
-binwidth = (y.lim[2] - y.lim[1]) / dot.tidy.bin.nb
-)) # geom_dotplot ggplot2 v3.3.0: I had to remove rev() in fill and color # very weird behavior of geom_dotplot ggplot2 v3.2.1, (1) because with aes group = (to avoid legend), the dot plotting is not good in term of coordinates, and (2) because data1 seems reorderer according to x = categ[1] before plotting. Thus, I have to use fill = dot.coord[rev(order(dot.coord[, categ[1]], decreasing = TRUE)), "dot.color"] to have the good corresponding colors # show.legend option do not remove the legend, only the aesthetic of the legend (dot, line, etc.)
-# assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "linetype", name = dot.legend.name, values = rep(1, length(categ.color)))) # values = rep("black", length(categ.color)) are the values of color (which is the border color of dots), and this modify the border color on the plot. WARNING: values = categ.color takes the numbers to make the colors if categ.color is a factor
-coord.names <- c(coord.names, "bad_remove")
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "alpha", name = dot.legend.name, values = rep(dot.alpha, length(dot.categ.class.order)), labels = dot.categ.class.order, guide = ggplot2::guide_legend(title = if(ini.dot.categ == categ[length(categ)]){dot.categ}else{ini.dot.categ}, override.aes = list(fill = levels(dot.coord$dot.color), color = if(is.null(dot.border.color)){levels(dot.coord$dot.color)}else{dot.border.color}, stroke = dot.border.size, alpha = dot.alpha)))) # values are the values of color (which is the border color in geom_box. WARNING: values = categ.color takes the numbers to make the colors if categ.color is a factor
-}
-# coordinates of tidy dots
-tempo.coord <- ggplot2::ggplot_build(eval(parse(text = paste(paste0(tempo.gg.name, 1:tempo.gg.count), collapse = " + "))))$data # to have the tidy dot coordinates
-if(length(which(sapply(tempo.coord, FUN = nrow) == nrow(data1))) > if(is.null(dot.categ)){1}else{2}){ # if(is.null(dot.categ)){1}else{2} because 1 dotplot if dot.categ is NULL and 2 dotplots is not, with the second being a blank dotplot with wrong coordinates. Thus take the first in that situation
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nMORE THAN ", if(is.null(dot.categ)){1}else{2}, " COMPARTMENT WITH NROW EQUAL TO nrow(data1) IN THE tempo.coord LIST (FOR TIDY DOT COORDINATES). CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-dot.coord.tidy1 <- tempo.coord[[which(sapply(tempo.coord, FUN = nrow) == nrow(data1))[1]]] # the second being a blank dotplot with wrong coordinates. Thus take the first whatever situation
-dot.coord.tidy1$x <- as.numeric(dot.coord.tidy1$x) # because weird class
-dot.coord.tidy1$PANEL <- as.numeric(dot.coord.tidy1$PANEL) # because numbers as levels. But may be a problem is facet are reordered ?
-}
-# tempo.box.coord <- merge(box.coord, unique(dot.coord[, c("PANEL", "group", categ)]), by = c("PANEL", "group"), sort = FALSE) # not required anymore because box.coord already contains categ do not add dot.categ and tidy_group_coord here because the coordinates are for stats. Add the categ in box.coord. WARNING: by = c("PANEL", "group") without fill column because PANEL & group columns are enough as only one value of x column per group number in box.coord. Thus, no need to consider fill column
-# below inactivated because not true when dealing with dot.categ different from categ
-# if(nrow(tempo.box.coord) != nrow(box.coord)){
-# tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nTHE merge() FUNCTION DID NOT RETURN A CORRECT tempo.box.coord DATA FRAME. CODE HAS TO BE MODIFIED")
-# stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
-# }
-dot.coord.tidy2 <- merge(dot.coord.tidy1, box.coord[c("fill", "PANEL", "group", "x", categ)], by = c("PANEL", "group"), sort = FALSE) # send the coord of the boxes into the coord data.frame of the dots (in the column x.y).WARNING: by = c("PANEL", "group") without fill column because PANEL & group columns are enough as only one value of x column per group number in tempo.box.coord. Thus, no need to consider fill colum # DANGER: from here the fill.y and x.y (from tempo.box.coord) are not good in dot.coord.tidy2. It is ok because Categ1 Categ2 from tempo.box.coord are ok with the group column from dot.coord.tidy1. This is due to the fact that dot.coord.tidy resulting from geom_dotplot does not make the same groups as the other functions
-if(nrow(dot.coord.tidy2) != nrow(dot.coord)){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nTHE merge() FUNCTION DID NOT RETURN A CORRECT dot.coord.tidy2 DATA FRAME. CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# From here, check for dot.coord.tidy3 which wil be important for stat over the plot. WARNING: dot.categ has nothing to do here for stat coordinates. Thus, not in tempo.data1
-if(length(categ) == 1){
-tempo.data1 <- unique(data.frame(data1[categ[1]], group = as.integer(data1[, categ[1]]), stringsAsFactors = TRUE)) # categ[1] is factor
-names(tempo.data1)[names(tempo.data1) == categ[1]] <- paste0(categ[1], ".check")
-verif <- paste0(categ[1], ".check")
-}else if(length(categ) == 2){
-tempo.data1 <- unique(
-data.frame(
-data1[c(categ[1], categ[2])],
-group = as.integer(factor(paste0(
-formatC(as.integer(data1[, categ[2]]), width = nchar(max(as.integer(data1[, categ[2]]), na.rm = TRUE)), flag = "0"), # convert factor into numeric with leading zero for proper ranking
-".",
-formatC(as.integer(data1[, categ[1]]), width = nchar(max(as.integer(data1[, categ[1]]), na.rm = TRUE)), flag = "0")# convert factor into numeric with leading zero for proper ranking
-)), stringsAsFactors = TRUE) # merge the 2 formatC() to create a new factor. The convertion to integer should recreate the correct group number
-)
-) # categ[2] first if categ[2] is used to make the categories in ggplot and categ[1] is used to make the x-axis
-names(tempo.data1)[names(tempo.data1) == categ[1]] <- paste0(categ[1], ".check")
-names(tempo.data1)[names(tempo.data1) == categ[2]] <- paste0(categ[2], ".check")
-verif <- c(paste0(categ[1], ".check"), paste0(categ[2], ".check"))
-}else{
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nCODE INCONSISTENCY 4")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-dot.coord.tidy3 <- merge(dot.coord.tidy2, tempo.data1, by = intersect("group", "group"), sort = FALSE) # send the factors of data1 into coord. WARNING: I have tested intersect("group", "group") instead of by = "group". May be come back to by = "group" in case of error. But I did this because of an error in dot.coord.rd3 above
-if(nrow(dot.coord.tidy3) != nrow(dot.coord) | ( ! fun_comp_2d(dot.coord.tidy3[categ], dot.coord.tidy3[verif])$identical.content)){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nTHE merge() FUNCTION DID NOT RETURN A CORRECT dot.coord.tidy3 DATA FRAME. CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# end coordinates of tidy dots
-}
-}
-# end dot display
-
-
-
-# boxplot display (if box.fill = FALSE, otherwise, already plotted above)
-if(box.fill == TRUE){
-# overcome "work only for the filling of boxes, not for the frame. See https://github.com/tidyverse/ggplot2/issues/252"
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "fill", name = box.legend.name, values = if(length(categ.color) == 1){rep(categ.color, length(unique(data1[, categ[length(categ)]])))}else{categ.color}, guide = ggplot2::guide_legend(order = 1))) #, guide = ggplot2::guide_legend(override.aes = list(fill = levels(tempo.polygon$COLOR), color = "black")))) # values are the values of color (which is the border color in geom_box. WARNING: values = categ.color takes the numbers to make the colors if categ.color is a factor
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "color", name = box.legend.name, values = rep(hsv(0, 0, 0, alpha = box.alpha), length(unique(data1[, categ[length(categ)]]))), guide = ggplot2::guide_legend(order = 1))) # , guide = ggplot2::guide_legend(override.aes = list(color = "black", alpha = box.alpha)))) # values are the values of color (which is the border color in geom_box. WARNING: values = categ.color takes the numbers to make the colors if categ.color is a factor # outline of the polygon in black but with alpha
-}else{
-# assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_boxplot(data = data1, mapping = ggplot2::aes_string(x = categ[1], y = y, color = categ[length(categ)], fill = categ[length(categ)]), position = ggplot2::position_dodge(width = NULL), width = box.width, size = box.line.size, notch = box.notch, alpha = box.alpha, coef = if(box.whisker.kind == "no"){0}else if(box.whisker.kind == "std"){1.5}else if(box.whisker.kind == "max"){Inf}, outlier.shape = if( ! is.null(dot.color)){NA}else{21}, outlier.color = if( ! is.null(dot.color)){NA}else{if(dot.border.size == 0){NA}else{dot.border.color}}, outlier.fill = if( ! is.null(dot.color)){NA}else{NULL}, outlier.size = if( ! is.null(dot.color)){NA}else{dot.size}, outlier.stroke = if( ! is.null(dot.color)){NA}else{dot.border.size}, outlier.alpha = if( ! is.null(dot.color)){NA}else{dot.alpha})) # the color, size, etc. of the outliers are dealt here. outlier.color = NA to do not plot outliers when dots are already plotted
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_path(
-data = tempo.polygon,
-mapping = ggplot2::aes_string(x = "X", y = "Y", group = "BOX", color = categ[length(categ)]),
-size = box.line.size,
-alpha = box.alpha,
-lineend = "round",
-linejoin = "round"
-))
-coord.names <- c(coord.names, "main.box")
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_segment(data = stat, mapping = ggplot2::aes(x = if(box.notch == FALSE){X_BOX_INF}else{X_NOTCH_INF}, xend = if(box.notch == FALSE){X_BOX_SUP}else{X_NOTCH_SUP}, y = MEDIAN, yend = MEDIAN, group = categ[length(categ)]), color = stat$COLOR, size = box.line.size * 2, alpha = box.alpha)) #
-coord.names <- c(coord.names, "median")
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_segment(data = stat, mapping = ggplot2::aes(x = X, xend = X, y = BOX_SUP, yend = WHISK_SUP, group = categ[length(categ)]), color = stat$COLOR, size = box.line.size, alpha = box.alpha)) #
-coord.names <- c(coord.names, "sup.whisker")
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_segment(data = stat, mapping = ggplot2::aes(x = X, xend = X, y = BOX_INF, yend = WHISK_INF, group = categ[length(categ)]), color = stat$COLOR, size = box.line.size, alpha = box.alpha)) #
-coord.names <- c(coord.names, "inf.whisker")
-if(box.whisker.width > 0){
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_segment(data = stat, mapping = ggplot2::aes(x = X_WHISK_INF, xend = X_WHISK_SUP, y = WHISK_SUP, yend = WHISK_SUP, group = categ[length(categ)]), color = stat$COLOR, size = box.line.size, alpha = box.alpha, lineend = "round")) #
-coord.names <- c(coord.names, "sup.whisker.edge")
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_segment(data = stat, mapping = ggplot2::aes(x = X_WHISK_INF, xend = X_WHISK_SUP, y = WHISK_INF, yend = WHISK_INF, group = categ[length(categ)]), color = stat$COLOR, size = box.line.size, alpha = box.alpha, lineend = "round")) #
-coord.names <- c(coord.names, "inf.whisker.edge")
-}
-if(box.mean == TRUE){
-# assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_point(data = stat, mapping = ggplot2::aes_string(x = "X", y = "MEAN", group = categ[length(categ)]), shape = 23, stroke = box.line.size * 2, color = stat$COLOR, size = box.mean.size, fill = NA, alpha = box.alpha)) # group used in aesthetic to do not have it in the legend. Here ggplot2::scale_discrete_manual() cannot be used because of the group easthetic
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_path(
-data = tempo.diamon.mean,
-mapping = ggplot2::aes(x = X, y = Y, group = GROUP),
-color = tempo.diamon.mean[, "COLOR"],
-size = box.line.size,
-alpha = box.alpha,
-lineend = "round",
-linejoin = "round"
-))
-coord.names <- c(coord.names, "mean")
-}
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "fill", name = box.legend.name, values = rep(NA, length(unique(data1[, categ[length(categ)]]))))) #, guide = ggplot2::guide_legend(override.aes = list(color = categ.color)))) # values are the values of color (which is the border color in geom_box. WARNING: values = categ.color takes the numbers to make the colors if categ.color is a factor
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "color", name = box.legend.name, values = if(length(categ.color) == 1){rep(categ.color, length(unique(data1[, categ[length(categ)]])))}else{categ.color}, guide = ggplot2::guide_legend(override.aes = list(alpha = if(plot == TRUE & ((length(dev.list()) > 0 & names(dev.cur()) == "windows") | (length(dev.list()) == 0 & Sys.info()["sysname"] == "Windows"))){1}else{box.alpha})))) # , guide = ggplot2::guide_legend(override.aes = list(color = as.character(categ.color))))) # values are the values of color (which is the border color in geom_box. WARNING: values = categ.color takes the numbers to make the colors if categ.color is a factor
-if(plot == TRUE & ((length(dev.list()) > 0 & names(dev.cur()) == "windows") | (length(dev.list()) == 0 & Sys.info()["sysname"] == "Windows"))){ # if any Graph device already open and this device is "windows", or if no Graph device opened yet and we are on windows system -> prevention of alpha legend bug on windows using value 1
-# to avoid a bug on windows: if alpha argument is different from 1 for lines (transparency), then lines are not correctly displayed in the legend when using the R GUI (bug https://github.com/tidyverse/ggplot2/issues/2452). No bug when using a pdf
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") GRAPHIC DEVICE USED ON A WINDOWS SYSTEM ->\nTRANSPARENCY OF THE LINES IS INACTIVATED IN THE LEGEND TO PREVENT A WINDOWS DEPENDENT BUG (SEE https://github.com/tidyverse/ggplot2/issues/2452)\nTO OVERCOME THIS ON WINDOWS, USE ANOTHER DEVICE (pdf() FOR INSTANCE)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-if(box.alpha == 0){ # remove box legend because no boxes drawn
-# add this after the scale_xxx_manual() for boxplots
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::guides(fill = FALSE, color = FALSE)) # inactivate the legend
-}
-# end boxplot display (if box.fill = FALSE, otherwise, already plotted above)
-
-
-
-
-# stat display
-# layer after dots but ok, behind dots on the plot
-if( ! is.null(stat.disp)){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NUMBERS DISPLAYED ARE ", ifelse(stat.disp.mean == FALSE, "MEDIANS", "MEANS"))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-if(stat.disp == "top"){
-tempo.stat <- data.frame(stat, Y = y.lim[2], stringsAsFactors = TRUE) # I had to create a data frame for geom_tex() so that facet is taken into account, (ggplot2::annotate() does not deal with facet because no data and mapping arguments). Of note, facet.categ is in tempo.stat, via tempo.mean, via dot.coord
-if(stat.disp.mean == FALSE){tempo.stat$MEDIAN <- formatC(stat.nolog$MEDIAN, digit = 2, drop0trailing = TRUE, format = "f")}else{tempo.stat$MEAN <- formatC(stat.nolog$MEAN, digit = 2, drop0trailing = TRUE, format = "f")}
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_text(
-data = tempo.stat,
-mapping = ggplot2::aes_string(x = "X", y = "Y", label = ifelse(stat.disp.mean == FALSE, "MEDIAN", "MEAN")),
-size = stat.size,
-color = "black",
-angle = stat.angle,
-hjust = stat.just$hjust,
-vjust = stat.just$vjust
-)) # stat$X used here because identical to stat.nolog but has the X. WARNING: no need of order() for labels because box.coord$x set the order. For justification, see https://stackoverflow.com/questions/7263849/what-do-hjust-and-vjust-do-when-making-a-plot-using-ggplot
-coord.names <- c(coord.names, "stat.display")
-}else if(stat.disp == "above"){
-# stat coordinates
-if( ! is.null(dot.color)){ # for text just above max dot
-if(dot.tidy == FALSE){
-tempo.stat.ini <- dot.coord.rd3
-}else if(dot.tidy == TRUE){
-tempo.stat.ini <- dot.coord.tidy3
-tempo.stat.ini$x.y <- tempo.stat.ini$x.x # this is just to be able to use tempo.stat.ini$x.y for untidy or tidy dots (remember that dot.coord.tidy3$x.y is not good, see above)
-}
-stat.coord1 <- aggregate(x = tempo.stat.ini["y"], by = {x.env <- if(length(categ) == 1){list(tempo.stat.ini$group, tempo.stat.ini$PANEL, tempo.stat.ini$x.y, tempo.stat.ini[, categ[1]])}else if(length(categ) == 2){list(tempo.stat.ini$group, tempo.stat.ini$PANEL, tempo.stat.ini$x.y, tempo.stat.ini[, categ[1]], tempo.stat.ini[, categ[2]])} ; names(x.env) <- if(length(categ) == 1){c("group", "PANEL", "x.y", categ[1])}else if(length(categ) == 2){c("group", "PANEL", "x.y", categ[1], categ[2])} ; x.env}, FUN = min, na.rm = TRUE)
-names(stat.coord1)[names(stat.coord1) == "y"] <- "dot.min"
-stat.coord2 <- aggregate(x = tempo.stat.ini["y"], by = {x.env <- if(length(categ) == 1){list(tempo.stat.ini$group, tempo.stat.ini$PANEL, tempo.stat.ini$x.y, tempo.stat.ini[, categ[1]])}else if(length(categ) == 2){list(tempo.stat.ini$group, tempo.stat.ini$PANEL, tempo.stat.ini$x.y, tempo.stat.ini[, categ[1]], tempo.stat.ini[, categ[2]])} ; names(x.env) <- if(length(categ) == 1){c("group", "PANEL", "x.y", categ[1])}else if(length(categ) == 2){c("group", "PANEL", "x.y", categ[1], categ[2])} ; x.env}, FUN = max, na.rm = TRUE)
-names(stat.coord2) <- paste0(names(stat.coord2), "_from.dot.max")
-names(stat.coord2)[names(stat.coord2) == "y_from.dot.max"] <- "dot.max"
-stat.coord3 <- cbind(box.coord[order(box.coord$group, box.coord$PANEL), ], stat.coord1[order(stat.coord1$group, stat.coord1$x.y), ], stat.coord2[order(stat.coord2$group, stat.coord2$x.y), ], stringsAsFactors = TRUE) #
-if( ! all(identical(round(stat.coord3$x, 9), round(as.numeric(stat.coord3$x.y), 9)))){ # as.numeric() because stat.coord3$x is class "mapped_discrete" "numeric"
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nFUSION OF box.coord, stat.coord1 AND stat.coord2 ACCORDING TO box.coord$x, stat.coord1$x.y AND stat.coord2$x.y IS NOT CORRECT. CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# text.coord <- stat.coord3[, c("x", "group", "dot.min", "dot.max")]
-# names(text.coord)[names(text.coord) == "dot.min"] <- "text.min.pos"
-#names(text.coord)[names(text.coord) == "dot.max"] <- "text.max.pos"
-box.coord <- box.coord[order(box.coord$x, box.coord$group, box.coord$PANEL), ]
-# text.coord <- text.coord[order(text.coord$x), ] # to be sure to have the two objects in the same order for x. WARNING: cannot add identical(as.integer(text.coord$group), as.integer(box.coord$group)) because with error, the correspondence between x and group is not the same
-stat.coord3 <- stat.coord3[order(stat.coord3$x, stat.coord3$group, stat.coord3$PANEL), ] # to be sure to have the two objects in the same order for x. WARNING: cannot add identical(as.integer(text.coord$group), as.integer(box.coord$group)) because with error, the correspondence between x and group is not the same
-if( ! (identical(box.coord$x, stat.coord3$x) & identical(box.coord$group, stat.coord3$group) & identical(box.coord$PANEL, stat.coord3$PANEL))){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\ntext.coord AND box.coord DO NOT HAVE THE SAME x, group AND PANEL COLUMN CONTENT")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}else{
-stat.coord3 <- box.coord
-}
-stat.coord3 <- data.frame(
-stat.coord3,
-Y = stat.coord3[, ifelse(
-is.null(dot.color),
-ifelse(diff(y.lim) > 0, "ymax", "ymin"),
-ifelse(diff(y.lim) > 0, "ymax_final", "ymin_final"),
-stringsAsFactors = TRUE)]
-) # ymax is top whisker, ymax_final is top dot
-# stat.coord3 <- data.frame(stat.coord3, Y = vector("numeric", length = nrow(stat.coord3)), stringsAsFactors = TRUE)
-# check.Y <- as.logical(stat.coord3$Y) # convert everything in Y into FALSE (because Y is full of zero)
-# end stat coordinates
-# stat display
-# performed twice: first for y values >=0, then y values < 0, because only a single value allowed for hjust anf vjust
-if(stat.disp.mean == FALSE){
-tempo.center.ref <- "middle"
-}else{
-tempo.center.ref <- "MEAN"
-}
-# if(is.null(dot.color)){
-# tempo.low.ref <- "ymin"
-# tempo.high.ref <- "ymax"
-# }else{
-# tempo.low.ref <- "ymin_final"
-# tempo.high.ref <- "ymax_final"
-# }
-# tempo.log.high <- if(diff(y.lim) > 0){stat.coord3[, tempo.center.ref] >= 0}else{stat.coord3[, tempo.center.ref] < 0}
-# tempo.log.low <- if(diff(y.lim) > 0){stat.coord3[, tempo.center.ref] < 0}else{stat.coord3[, tempo.center.ref] >= 0}
-# stat.coord3$Y[tempo.log.high] <- stat.coord3[tempo.log.high, tempo.high.ref]
-# stat.coord3$Y[tempo.log.low] <- stat.coord3[tempo.log.low, tempo.low.ref]
-# add distance
-stat.coord3$Y <- stat.coord3$Y + diff(y.lim) * stat.dist / 100
-# end add distance
-# correct median or mean text format
-if(y.log != "no"){
-stat.coord3[, tempo.center.ref] <- ifelse(y.log == "log2", 2, 10)^(stat.coord3[, tempo.center.ref])
-}
-stat.coord3[, tempo.center.ref] <- formatC(stat.coord3[, tempo.center.ref], digit = 2, drop0trailing = TRUE, format = "f")
-# end correct median or mean text format
-# if(any(tempo.log.high) == TRUE){
-# tempo.stat <- stat.coord3[tempo.log.high,]
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_text(
-data = stat.coord3,
-mapping = ggplot2::aes_string(x = "x", y = "Y", label = tempo.center.ref),
-size = stat.size,
-color = "black",
-angle = stat.angle,
-hjust = stat.just$hjust,
-vjust = stat.just$vjust
-)) # WARNING: no need of order() for labels because box.coord$x set the order
-coord.names <- c(coord.names, "stat.display")
-# }
-# if(any(tempo.log.low) == TRUE){
-# tempo.stat <- stat.coord3[tempo.log.low,]
-# assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::geom_text(
-# data = tempo.stat,
-# mapping = ggplot2::aes_string(x = "x", y = "Y", label = tempo.center.ref),
-# size = stat.size,
-# color = "black",
-# hjust = ifelse(vertical == TRUE, 0.5, 0.5 + stat.dist),
-# vjust = ifelse(vertical == TRUE, 0.5 + stat.dist, 0.5)
-# )) # WARNING: no need of order() for labels because box.coord$x set the order
-# coord.names <- c(coord.names, "stat.display.negative")
-# }
-# end stat display
-}else{
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nCODE INCONSISTENCY 5")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-}
-# end stat display
-# legend management
-if(legend.show == FALSE){ # must be here because must be before bef.final.plot <-
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::guides(fill = FALSE, color = FALSE, alpha = FALSE)) # inactivate the initial legend
-}
-# end legend management
-
-
-
-# y scale management (cannot be before dot plot management)
-# the rescaling aspect is complicated and not intuitive. See:
-# explaination: https://github.com/tidyverse/ggplot2/issues/3948
-# the oob argument of scale_y_continuous() https://ggplot2.tidyverse.org/reference/scale_continuous.html
-# see also https://github.com/rstudio/cheatsheets/blob/master/data-visualization-2.1.pdf
-# secondary ticks
-bef.final.plot <- ggplot2::ggplot_build(eval(parse(text = paste(paste(paste0(tempo.gg.name, 1:tempo.gg.count), collapse = " + "), ' + if(vertical == TRUE){ggplot2::scale_y_continuous(expand = c(0, 0), limits = sort(y.lim), oob = scales::rescale_none)}else{ggplot2::coord_flip(ylim = y.lim)}')))) # here I do not need the x-axis and y-axis orientation, I just need the number of main ticks and the legend
-tempo.coord <- bef.final.plot$layout$panel_params[[1]]
-# y.second.tick.positions: coordinates of secondary ticks (only if y.second.tick.nb argument is non NULL or if y.log argument is different from "no")
-if(y.log != "no"){ # integer main ticks for log2 and log10
-tempo.scale <- (as.integer(min(y.lim, na.rm = TRUE)) - 1):(as.integer(max(y.lim, na.rm = TRUE)) + 1)
-}else{
-tempo <- if(is.null(attributes(tempo.coord$y$breaks))){tempo.coord$y$breaks}else{unlist(attributes(tempo.coord$y$breaks))}
-if(all(is.na(tempo))){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nONLY NA IN tempo.coord$y$breaks")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-tempo.scale <- fun_scale(lim = y.lim, n = ifelse(is.null(y.tick.nb), length(tempo[ ! is.na(tempo)]), y.tick.nb)) # in ggplot 3.3.0, tempo.coord$y.major_source replaced by tempo.coord$y$breaks. If fact: n = ifelse(is.null(y.tick.nb), length(tempo[ ! is.na(tempo)]), y.tick.nb)) replaced by n = ifelse(is.null(y.tick.nb), 4, y.tick.nb))
-}
-y.second.tick.values <- NULL
-y.second.tick.pos <- NULL
-if(y.log != "no"){
-tempo <- fun_inter_ticks(lim = y.lim, log = y.log)
-y.second.tick.values <- tempo$values
-y.second.tick.pos <- tempo$coordinates
-# if(vertical == TRUE){ # do not remove in case the bug is fixed
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::annotate(geom = "segment", y = y.second.tick.pos, yend = y.second.tick.pos, x = tempo.coord$x.range[1], xend = tempo.coord$x.range[1] + diff(tempo.coord$x.range) / 80))
-# }else{ # not working because of the ggplot2 bug
-# assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::annotate(geom = "segment", x = y.second.tick.pos, xend = y.second.tick.pos, y = tempo.coord$y.range[1], yend = tempo.coord$y.range[1] + diff(tempo.coord$y.range) / 80))
-# }
-coord.names <- c(coord.names, "y.second.tick.positions")
-}else if(( ! is.null(y.second.tick.nb)) & y.log == "no"){
-# if(y.second.tick.nb > 0){ #inactivated because already checked before
-tempo <- fun_inter_ticks(lim = y.lim, log = y.log, breaks = tempo.scale, n = y.second.tick.nb)
-y.second.tick.values <- tempo$values
-y.second.tick.pos <- tempo$coordinates
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::annotate(
-geom = "segment",
-y = y.second.tick.pos,
-yend = y.second.tick.pos,
-x = if(vertical == TRUE){tempo.coord$x.range[1]}else{tempo.coord$y.range[1]},
-xend = if(vertical == TRUE){tempo.coord$x.range[1] + diff(tempo.coord$x.range) / 80}else{tempo.coord$y.range[1] + diff(tempo.coord$y.range) / 80}
-))
-coord.names <- c(coord.names, "y.second.tick.positions")
-}
-# end y.second.tick.positions
-# for the ggplot2 bug with y.log, this does not work: eval(parse(text = ifelse(vertical == FALSE & y.log == "log10", "ggplot2::scale_x_continuous", "ggplot2::scale_y_continuous")))
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_y_continuous(
-breaks = tempo.scale,
-minor_breaks = y.second.tick.pos,
-labels = if(y.log == "log10"){scales::trans_format("identity", scales::math_format(10^.x))}else if(y.log == "log2"){scales::trans_format("identity", scales::math_format(2^.x))}else if(y.log == "no"){ggplot2::waiver()}else{tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nCODE INCONSISTENCY 6") ; stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)}, # == in stop() to be able to add several messages between ==
-expand = c(0, 0), # remove space after after axis limits
-limits = sort(y.lim), # NA indicate that limits must correspond to data limits but ylim() already used
-oob = scales::rescale_none,
-trans = ifelse(diff(y.lim) < 0, "reverse", "identity") # equivalent to ggplot2::scale_y_reverse() but create the problem of y-axis label disappearance with y.lim decreasing. Thus, do not use. Use ylim() below and after this
-))
-if(vertical == TRUE){
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::coord_cartesian(ylim = y.lim)) #problem of ggplot2::ylim() is taht it redraw new breaks # coord_cartesian(ylim = y.lim)) not used because bug -> y-axis label disappearance with y.lim decreasing # clip = "off" to have secondary ticks outside plot region does not work
-}else{
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::coord_flip(ylim = y.lim)) # clip = "off" to have secondary ticks outside plot region does not work # create the problem of y-axis label disappearance with y.lim decreasing
-
-}
-# end y scale management (cannot be before dot plot management)
-
-
-# legend management
-if( ! is.null(legend.width)){
-legend.final <- fun_gg_get_legend(ggplot_built = bef.final.plot, fun.name = function.name, lib.path = lib.path) # get legend
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::guides(fill = FALSE, color = FALSE, alpha = FALSE)) # inactivate the initial legend
-if(is.null(legend.final) & plot == TRUE){ # even if any(unlist(legend.disp)) is TRUE
-legend.final <- ggplot2::ggplot()+ggplot2::theme_void() # empty graph instead of legend
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") LEGEND REQUESTED (NON NULL categ ARGUMENT OR legend.show ARGUMENT SET TO TRUE)\nBUT IT SEEMS THAT THE PLOT HAS NO LEGEND -> EMPTY LEGEND SPACE CREATED BECAUSE OF THE NON NULL legend.width ARGUMENT\n")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# end legend management
-
-
-# drawing
-fin.plot <- suppressMessages(suppressWarnings(eval(parse(text = paste(paste0(tempo.gg.name, 1:tempo.gg.count), collapse = " + ")))))
-grob.save <- NULL
-if(plot == TRUE){
-# following lines inactivated because of problem in warn.recov and message.recov
-# assign("env_fun_get_message", new.env())
-# assign("tempo.gg.name", tempo.gg.name, envir = env_fun_get_message)
-# assign("tempo.gg.count", tempo.gg.count, envir = env_fun_get_message)
-# assign("add", add, envir = env_fun_get_message)
-# two next line: for the moment, I cannot prevent the warning printing
-# warn.recov <- fun_get_message(paste(paste(paste0(tempo.gg.name, 1:tempo.gg.count), collapse = " + "), if(is.null(add)){NULL}else{add}), kind = "warning", header = FALSE, print.no = FALSE, env = env_fun_get_message) # for recovering warnings printed by ggplot() functions
-# message.recov <- fun_get_message('print(eval(parse(text = paste(paste(paste0(tempo.gg.name, 1:tempo.gg.count), collapse = " + "), if(is.null(add)){NULL}else{add}))))', kind = "message", header = FALSE, print.no = FALSE, env = env_fun_get_message) # for recovering messages printed by ggplot() functions
-# if( ! (return == TRUE & return.ggplot == TRUE)){ # because return() plots when return.ggplot is TRUE # finally not used -> see return.ggplot description
-if(is.null(legend.width)){
-grob.save <- suppressMessages(suppressWarnings(gridExtra::grid.arrange(fin.plot)))
-}else{
-grob.save <-suppressMessages(suppressWarnings(gridExtra::grid.arrange(fin.plot, legend.final, ncol=2, widths=c(1, legend.width))))
-}
-# }
-# suppressMessages(suppressWarnings(print(eval(parse(text = paste(paste(paste0(tempo.gg.name, 1:tempo.gg.count), collapse = " + "), if(is.null(add)){NULL}else{add}))))))
-}else{
-# following lines inactivated because of problem in warn.recov and message.recov
-# message.recov <- NULL
-# warn.recov <- NULL
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") PLOT NOT SHOWN AS REQUESTED")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# end drawing
-
-
-
-# outputs
-# following lines inactivated because of problem in warn.recov and message.recov
-# if( ! (is.null(warn) & is.null(warn.recov) & is.null(message.recov))){
-# warn <- paste0(warn, "\n\n", if(length(warn.recov) > 0 | length(message.recov) > 0){paste0(paste0("MESSAGES FROM ggplot2 FUNCTIONS: ", ifelse( ! is.null(warn.recov), unique(message.recov), ""), ifelse( ! is.null(message.recov), unique(message.recov), ""), collapse = "\n\n"), "\n\n")})
-# }else if( ! (is.null(warn) & is.null(warn.recov)) & is.null(message.recov)){
-# warn <- paste0(warn, "\n\n", if(length(warn.recov) > 0){paste0(paste0("MESSAGES FROM ggplot2 FUNCTIONS: ", unique(warn.recov), collapse = "\n\n"), "\n\n")})
-# }else if( ! (is.null(warn) & is.null(message.recov)) & is.null(warn.recov)){
-# warn <- paste0(warn, "\n\n", if(length(message.recov) > 0){paste0(paste0("MESSAGES FROM ggplot2 FUNCTIONS: ", unique(message.recov), collapse = "\n\n"), "\n\n")})
-# }
-if(warn.print == TRUE & ! is.null(warn)){
-options(warning.length = 8170)
-on.exit(warning(paste0("FROM ", function.name, ":\n\n", warn), call. = FALSE))
-on.exit(exp = options(warning.length = ini.warning.length), add = TRUE)
-}
-if(return == TRUE){
-tempo.output <- ggplot2::ggplot_build(fin.plot)
-tempo.output$data <- tempo.output$data[-1] # remove the first data because corresponds to the initial empty boxplot
-if(length(tempo.output$data) != length(coord.names)){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nlength(tempo.output$data) AND length(coord.names) MUST BE IDENTICAL. CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE) # == in stop() to be able to add several messages between ==
-}else{
-names(tempo.output$data) <- coord.names
-tempo.output$data <- tempo.output$data[coord.names != "bad_remove"]
-}
-tempo <- tempo.output$layout$panel_params[[1]]
-output <- list(
-data = data1.ini,
-stat = stat.nolog,
-removed.row.nb = removed.row.nb,
-removed.rows = removed.rows,
-plot = c(tempo.output$data, y.second.tick.values = list(y.second.tick.values)),
-panel = facet.categ,
-axes = list(
-x.range = tempo$x.range,
-x.labels = if(is.null(attributes(tempo$x$breaks))){tempo$x$breaks}else{tempo$x$scale$get_labels()}, # is.null(attributes(tempo$x$breaks)) test if it is number (TRUE) or character (FALSE)
-x.positions = if(is.null(attributes(tempo$x$breaks))){tempo$x$breaks}else{unlist(attributes(tempo$x$breaks))},
-y.range = tempo$y.range,
-y.labels = if(is.null(attributes(tempo$y$breaks))){tempo$y$breaks}else{tempo$y$scale$get_labels()},
-y.positions = if(is.null(attributes(tempo$y$breaks))){tempo$y$breaks}else{unlist(attributes(tempo$y$breaks))}
-),
-warn = paste0("\n", warn, "\n\n"),
-ggplot = if(return.ggplot == TRUE){fin.plot}else{NULL}, # fin.plot plots the graph if return == TRUE
-gtable = if(return.gtable == TRUE){grob.save}else{NULL}
-)
-return(output) # this plots the graph if return.ggplot is TRUE and if no assignment
-}
-# end outputs
-# end main code
-}
-
-
-
-
-
-
-
-
-fun_gg_scatter <- function(
-data1,
-x,
-y,
-categ = NULL,
-categ.class.order = NULL,
-color = NULL,
-geom = "geom_point",
-geom.step.dir = "hv",
-alpha = 0.5,
-dot.size = 2,
-dot.shape = 21,
-dot.border.size = 0.5,
-dot.border.color = NULL,
-line.size = 0.5,
-line.type = "solid",
-x.lim = NULL,
-x.lab = NULL,
-x.log = "no",
-x.tick.nb = NULL,
-x.second.tick.nb = NULL,
-x.include.zero = FALSE,
-x.left.extra.margin = 0.05,
-x.right.extra.margin = 0.05,
-x.text.angle = 0,
-y.lim = NULL,
-y.lab = NULL,
-y.log = "no",
-y.tick.nb = NULL,
-y.second.tick.nb = NULL,
-y.include.zero = FALSE,
-y.top.extra.margin = 0.05,
-y.bottom.extra.margin = 0.05,
-y.text.angle = 0,
-text.size = 12,
-title = "",
-title.text.size = 12,
-legend.show = TRUE,
-legend.width = 0.5,
-legend.name = NULL,
-raster = FALSE,
-raster.ratio = 1,
-raster.threshold = NULL,
-article = TRUE,
-grid = FALSE,
-return = FALSE,
-return.ggplot = FALSE,
-return.gtable = TRUE,
-plot = TRUE,
-add = NULL,
-warn.print = FALSE,
-lib.path = NULL
-){
-# AIM
-# plot ggplot2 scatterplot with the possibility to overlay dots from up to 3 different data frames (-> three different legends) and lines from up to 3 different data frames (-> three different legends) -> up to 6 overlays totally
-# for ggplot2 specifications, see: https://ggplot2.tidyverse.org/articles/ggplot2-specs.html
-# WARNINGS
-# Rows containing NA in data1[, c(x, y, categ)] will be removed before processing, with a warning (see below)
-# Size arguments (dot.size, dot.border.size, line.size, text.size and title.text.size) are in mm. See Hadley comment in https://stackoverflow.com/questions/17311917/ggplot2-the-unit-of-size. See also http://sape.inf.usi.ch/quick-reference/ggplot2/size). Unit object are not accepted, but conversion can be used (e.g., grid::convertUnit(grid::unit(0.2, "inches"), "mm", valueOnly = TRUE))
-# ARGUMENTS
-# data1: a dataframe compatible with ggplot2, or a list of data frames
-# x: single character string of the data1 column name for x-axis coordinates. If data1 is a list, then x must be a list of single character strings, of same size as data1, with compartment 1 related to compartment 1 of data1, etc. Write NULL for each "geom_hline" in geom argument
-# y: single character string of the data1 column name for y-axis coordinates. If data1 is a list, then y must be a list of single character strings, of same size as data1, with compartment 1 related to compartment 1 of data1, etc. Write NULL for each "geom_vline" in geom argument
-# categ: either NULL or a single character string or a list of single character strings, indicating the data1 column names to use for categories which creates legend display
-# If categ == NULL, no categories -> no legend displayed
-# If data1 is a data frame, categ must be a single character string of the data1 column name for categories
-# If data1 is a list, then categ must be a list of single character strings, of same size as data1, with compartment 1 related to compartment 1 of data1, etc. Some of the list compartments can be NULL (no legend display for these compartments), and other not
-# categ.class.order: either (1) NULL or (2) a vector of character strings or (3) a list of these vectors, setting the order of the classes of categ in the legend display
-# If categ.class.order is NULL, classes are represented according to the alphabetical order
-# If data1 is a data frame, categ.class.order must be a vector of character strings specifying the different classes in the categ column name of data1
-# If data1 is a list, then categ.class.order must be a list of vector of character strings, of same size as data1, with compartment 1 related to compartment 1 of data1, etc. Some of the list compartments can be NULL (alphabetical order for these compartments), and other not
-# color: either (1) NULL, or (2) a vector of character strings or integers, or (3) a list of vectors of character strings or integers
-# If color is NULL, default colors of ggplot2
-# If data1 is a data frame, color argument can be either:
-# (1) a single color string. All the dots of the corresponding data1 will have this color, whatever the categ value (NULL or not)
-# (2) if categ is non-null, a vector of string colors, one for each class of categ. Each color will be associated according to the categ.class.order argument if specified, or to the alphabetical order of categ classes otherwise
-# (3) if categ is non-null, a vector or factor of string colors, like if it was one of the column of data1 data frame. WARNING: a single color per class of categ and a single class of categ per color must be respected
-# Integers are also accepted instead of character strings, as long as above rules about length are respected. Integers will be processed by fun_gg_palette() using the max integer value among all the integers in color (see fun_gg_palette())
-# If data1 is a list, then color argument must be either:
-# (1) a list of character strings or integers, of same size as data1, with compartment 1 related to compartment 1 of data1, etc.
-# (2) a single character string or a single integer
-# With a list (first possibility), the rules described for when data1 is a data frame apply to each compartment of the list. Some of the compartments can be NULL. In that case, a different grey color will be used for each NULL compartment. With a single value (second possibility), the same color will be used for all the dots and lines, whatever the data1 list
-# geom: single character string of the kind of plot, or a list of single character strings
-# Either:
-# "geom_point" (scatterplot)
-# "geom_line" (coordinates plotted then line connection from the lowest to highest coordinates)
-# "geom_path" (coordinates plotted then line connection respecting the order in data1)
-# "geom_step" coordinates plotted then line connection respecting the order in data1 but drawn in steps). See the geom.step.dir argument
-# "geom_hline" (horizontal line, no x value provided)
-# "geom_vline" (vertical line, no y value provided)
-# "geom_stick" (dots as vertical bars)
-# If data1 is a list, then geom must be either:
-# (1) a list of single character strings, of same size as data1, with compartment 1 related to compartment 1 of data1, etc.
-# (2) a single character string. In that case the same kind of plot will apply for the different compartments of the data1 list
-# WARNING concerning "geom_hline" or "geom_vline":
-# (1) x or y argument must be NULL, respectively
-# (2) x.lim or y.lim argument must NOT be NULL, respectively, if only these kind of lines are drawn (if other geom present, then x.lim = NULL and y.lim = NULL will generate x.lim and y.lim defined by these other geom, which is not possible with "geom_hline" or "geom_vline" alone)
-# (3) the function will draw n lines for n values in the x argument column name of the data1 data frame. If several colors required, the categ argument must be specified and the corresponding categ column name must exist in the data1 data frame with a different class name for each row
-# geom.step.dir: single character string indicating the direction when using "geom_step" of the geom argument, or a list of single character strings
-# Either:
-# "vh" (vertical then horizontal)
-# "hv" (horizontal then vertical)
-# "mid" (step half-way between adjacent x-values)
-# See https://ggplot2.tidyverse.org/reference/geom_path.html
-# If data1 is a list, then geom must be either:
-# (1) a list of single character strings, of same size as data1, with compartment 1 related to compartment 1 of data1, etc. The value in compartments related to other geom values than "geom_step" will be ignored
-# (2) a single character string, which will be used for all the "geom_step" values of the geom argument, whatever the data1 list
-# alpha: single numeric value (from 0 to 1) of transparency. If data1 is a list, then alpha must be either (1) a list of single numeric values, of same size as data1, with compartment 1 related to compartment 1 of data1, etc., or (2) a single numeric value. In that case the same transparency will apply for the different compartments of the data1 list
-# dot.size: single numeric value of dot diameter in mm. If data1 is a list, then dot.size must be either (1) a list of single numeric values, of same size as data1, with compartment 1 related to compartment 1 of data1, etc., or (2) a single numeric value. With a list (former possibility), the value in compartments related to lines will be ignored. With a single value (latter possibility), the same dot.size will be used for all the dots, whatever the data1 list
-# dot.shape: value indicating the shape of the dots (see https://ggplot2.tidyverse.org/articles/ggplot2-specs.html) If data1 is a list, then dot.shape must be either (1) a list of single shape values, of same size as data1, with compartment 1 related to compartment 1 of data1, etc., or (2) a single shape value. With a list (former possibility), the value in compartments related to lines will be ignored. With a single value (latter possibility), the same dot.shape will be used for all the dots, whatever the data1 list
-# dot.border.size: single numeric value of border dot width in mm. Write zero for no dot border. If data1 is a list, then dot.border.size must be either (1) a list of single numeric values, of same size as data1, with compartment 1 related to compartment 1 of data1, etc., or (2) a single numeric value. With a list (former possibility), the value in compartments related to lines will be ignored. With a single value (latter possibility), the same dot.border.size will be used for all the dots, whatever the data1 list
-# dot.border.color: single character color string defining the color of the dot border (same border color for all the dots, whatever their categories). If dot.border.color == NULL, the border color will be the same as the dot color. A single integer is also accepted instead of a character string, that will be processed by fun_gg_palette()
-# line.size: single numeric value of line width in mm. If data1 is a list, then line.size must be either (1) a list of single numeric values, of same size as data1, with compartment 1 related to compartment 1 of data1, etc., or (2) a single numeric value. With a list (former possibility), the value in compartments related to dots will be ignored. With a single value (latter possibility), the same line.size will be used for all the lines, whatever the data1 list
-# line.type: value indicating the kind of lines (see https://ggplot2.tidyverse.org/articles/ggplot2-specs.html) If data1 is a list, then line.type must be either (1) a list of single line kind values, of same size as data1, with compartment 1 related to compartment 1 of data1, etc., or (2) a single line kind value. With a list (former possibility), the value in compartments related to dots will be ignored. With a single value (latter possibility), the same line.type will be used for all the lines, whatever the data1 list
-# x.lim: 2 numeric values setting the x-axis range. Order of the 2 values matters (for inverted axis). If NULL, the range of the x column name of data1 will be used
-# x.lab: a character string or expression for x-axis label. If NULL, will use the first value of x (x column name of the first data frame in data1). Warning message if the elements in x are different between data frames in data1
-# x.log: either "no", "log2" (values in the x column name of the data1 data frame will be log2 transformed and x-axis will be log2 scaled) or "log10" (values in the x column name of the data1 data frame will be log10 transformed and x-axis will be log10 scaled)
-# x.tick.nb: approximate number of desired values labeling the x-axis (i.e., main ticks, see the n argument of the the cute::fun_scale() function). If NULL and if x.log is "no", then the number of labeling values is set by ggplot2. If NULL and if x.log is "log2" or "log10", then the number of labeling values corresponds to all the exposant integers in the x.lim range (e.g., 10^1, 10^2 and 10^3, meaning 3 main ticks for x.lim = c(9, 1200)). WARNING: if non-NULL and if x.log is "log2" or "log10", labeling can be difficult to read (e.g., ..., 10^2, 10^2.5, 10^3, ...)
-# x.second.tick.nb: number of desired secondary ticks between main ticks. Ignored if x.log is other than "no" (log scale plotted). Use argument return = TRUE and see $plot$x.second.tick.values to have the values associated to secondary ticks. IF NULL, no secondary ticks
-# x.include.zero: logical. Does x.lim range include 0? Ignored if x.log is "log2" or "log10"
-# x.left.extra.margin: single proportion (between 0 and 1) indicating if extra margins must be added to x.lim. If different from 0, add the range of the axis multiplied by x.left.extra.margin (e.g., abs(x.lim[2] - x.lim[1]) * x.left.extra.margin) to the left of x-axis
-# x.right.extra.margin: idem as x.left.extra.margin but to the right of x-axis
-# x.text.angle: integer value of the text angle for the x-axis labeling values, using the same rules as in ggplot2. Use positive value for clockwise rotation: 0 for horizontal, 90 for vertical, 180 for upside down etc. Use negative values for counterclockwise rotation: 0 for horizontal, -90 for vertical, -180 for upside down etc.
-# y.lim: 2 numeric values setting the y-axis range. Order of the 2 values matters (for inverted axis). If NULL, the range of the y column name of data1 will be used
-# y.lab: a character string or expression for y-axis label. If NULL, will use the first value of y (y column name of the first data frame in data1). Warning message if the elements in y are different between data frames in data1
-# y.log: either "no", "log2" (values in the y column name of the data1 data frame will be log2 transformed and y-axis will be log2 scaled) or "log10" (values in the y column name of the data1 data frame will be log10 transformed and y-axis will be log10 scaled)
-# y.tick.nb: approximate number of desired values labeling the y-axis (i.e., main ticks, see the n argument of the the cute::fun_scale() function). If NULL and if y.log is "no", then the number of labeling values is set by ggplot2. If NULL and if y.log is "log2" or "log10", then the number of labeling values corresponds to all the exposant integers in the y.lim range (e.g., 10^1, 10^2 and 10^3, meaning 3 main ticks for y.lim = c(9, 1200)). WARNING: if non-NULL and if y.log is "log2" or "log10", labeling can be difficult to read (e.g., ..., 10^2, 10^2.5, 10^3, ...)
-# y.second.tick.nb: number of desired secondary ticks between main ticks. Ignored if y.log is other than "no" (log scale plotted). Use argument return = TRUE and see $plot$y.second.tick.values to have the values associated to secondary ticks. IF NULL, no secondary ticks
-# y.include.zero: logical. Does y.lim range include 0? Ignored if y.log is "log2" or "log10"
-# y.top.extra.margin: single proportion (between 0 and 1) indicating if extra margins must be added to y.lim. If different from 0, add the range of the axis multiplied by y.top.extra.margin (e.g., abs(y.lim[2] - y.lim[1]) * y.top.extra.margin) to the top of y-axis
-# y.bottom.extra.margin: idem as y.top.extra.margin but to the bottom of y-axis
-# y.text.angle: integer value of the text angle for the y-axis labeling values, using the same rules as in ggplot2. Use positive value for clockwise rotation: 0 for horizontal, 90 for vertical, 180 for upside down etc. Use negative values for counterclockwise rotation: 0 for horizontal, -90 for vertical, -180 for upside down etc.
-# text.size: numeric value of the font size of the (1) axis numbers and axis legends and (2) texts in the graphic legend (in mm)
-# title: character string of the graph title
-# title.text.size: numeric value of the title font size in mm
-# legend.show: logical. Show legend? Not considered if categ argument is NULL, because this already generate no legend, excepted if legend.width argument is non-NULL. In that specific case (categ is NULL, legend.show is TRUE and legend.width is non-NULL), an empty legend space is created. This can be useful when desiring graphs of exactly the same width, whatever they have legends or not
-# legend.width: single proportion (between 0 and 1) indicating the relative width of the legend sector (on the right of the plot) relative to the width of the plot. Value 1 means that the window device width is split in 2, half for the plot and half for the legend. Value 0 means no room for the legend, which will overlay the plot region. Write NULL to inactivate the legend sector. In such case, ggplot2 will manage the room required for the legend display, meaning that the width of the plotting region can vary between graphs, depending on the text in the legend
-# legend.name: character string of the legend title. If legend.name is NULL and categ argument is not NULL, then legend.name <- categ. If data1 is a list, then legend.name must be a list of character strings, of same size as data1, with compartment 1 related to compartment 1 of data1, etc. Some of the list compartments can be NULL, and other not
-# raster: logical. Dots in raster mode? If FALSE, dots from each "geom_point" from geom argument are plotted in vectorial mode (bigger pdf and long to display if lots of dots). If TRUE, dots from each "geom_point" from geom argument are plotted in matricial mode (smaller pdf and easy display if lots of dots, but it takes time to generate the layer). If TRUE, the raster.ratio argument is used to avoid an ellipsoid representation of the dots. If TRUE, solve the transparency problem with some GUI. Overriden by the non-NULL raster.threshold argument
-# raster.ratio: single numeric value indicating the height / width ratio of the graphic device used (for instance provided by the $dim compartment in the output of the fun_open() function). The default value is 1 because by default R opens a square graphic device. But this argument has to be set when using other device dimensions. Ignored if raster == FALSE
-# raster.threshold: positive integer value indicating the limit of the dot number above which "geom_point" layers from the geom argument switch from vectorial mode to matricial mode (see the raster argument). If any layer is matricial, then the raster.ratio argument is used to avoid an ellipsoid representation of the dots. If non-NULL, it overrides the raster argument
-# article: logical. If TRUE, use an article theme (article like). If FALSE, use a classic related ggplot theme. Use the add argument (e.g., add = "+ggplot2::theme_classic()" for the exact classic ggplot theme
-# grid: logical. Draw lines in the background to better read the box values? Not considered if article == FALSE (grid systematically present)
-# return: logical. Return the graph parameters?
-# return.ggplot: logical. Return the ggplot object in the output list? Ignored if return argument is FALSE. WARNING: always assign the fun_gg_scatter() function (e.g., a <- fun_gg_scatter()) if return.ggplot argument is TRUE, otherwise, double plotting is performed. See $ggplot in the RETURN section below for more details
-# return.gtable: logical. Return the ggplot object as gtable of grobs in the output list? Ignored if plot argument is FALSE. Indeed, the graph must be plotted to get the grobs dispositions. See $gtable in the RETURN section below for more details
-# plot: logical. Plot the graphic? If FALSE and return argument is TRUE, graphical parameters and associated warnings are provided without plotting
-# add: character string allowing to add more ggplot2 features (dots, lines, themes, facet, etc.). Ignored if NULL
-# WARNING: (1) the string must start with "+", (2) the string must finish with ")" and (3) each function must be preceded by "ggplot2::". Example: "+ ggplot2::coord_flip() + ggplot2::theme_bw()"
-# If the character string contains the "ggplot2::theme" string, then the article argument of fun_gg_scatter() (see above) is ignored with a warning
-# Handle the add argument with caution since added functions can create conflicts with the preexisting internal ggplot2 functions
-# WARNING: the call of objects inside the quotes of add can lead to an error if the name of these objects are some of the fun_gg_scatter() arguments. Indeed, the function will use the internal argument instead of the global environment object. Example article <- "a" in the working environment and add = '+ ggplot2::ggtitle(article)'. The risk here is to have TRUE as title. To solve this, use add = '+ ggplot2::ggtitle(get("article", envir = .GlobalEnv))'
-# warn.print: logical. Print warnings at the end of the execution? ? If FALSE, warning messages are never printed, but can still be recovered in the returned list. Some of the warning messages (those delivered by the internal ggplot2 functions) are not apparent when using the argument plot = FALSE
-# lib.path: character string indicating the absolute path of the required packages (see below). if NULL, the function will use the R library default folders
-# REQUIRED PACKAGES
-# ggplot2
-# gridExtra
-# lemon (if used in the add argument)
-# scales
-# if raster plots are drawn (see the raster and raster.threshold arguments):
-# Cairo
-# grid
-# REQUIRED FUNCTIONS FROM CUTE_LITTLE_R_FUNCTION
-# fun_gg_empty_graph()
-# fun_gg_palette()
-# fun_gg_point_rast()
-# fun_pack()
-# fun_check()
-# fun_round()
-# fun_scale()
-# fun_inter_ticks()
-# RETURN
-# a scatter plot if plot argument is TRUE
-# a list of the graph info if return argument is TRUE:
-# $data: the initial data with graphic information added. WARNING: if the x.log or y.log argument is not "no", x or y argument column of the data1 data frame are log2 or log10 converted in $data, respectively. Use 2^values or 10^$values to recover the initial values
-# $removed.row.nb: a list of the removed rows numbers in data frames (because of NA). NULL if no row removed
-# $removed.rows: a list of the removed rows in data frames (because of NA). NULL if no row removed
-# $plot: the graphic box and dot coordinates
-# $dots: dot coordinates
-# y.second.tick.positions: coordinates of secondary ticks (only if y.second.tick.nb argument is non-null or if y.log argument is different from "no")
-# y.second.tick.values: values of secondary ticks. NULL except if y.second.tick.nb argument is non-null or if y.log argument is different from "no")
-# $panel: the variable names used for the panels (NULL if no panels). WARNING: NA can be present according to ggplot2 upgrade to v3.3.0
-# $axes: the x-axis and y-axis info
-# $warn: the warning messages. Use cat() for proper display. NULL if no warning. WARNING: warning messages delivered by the internal ggplot2 functions are not apparent when using the argument plot = FALSE
-# $ggplot: ggplot object that can be used for reprint (use print($ggplot) or update (use $ggplot + ggplot2::...). NULL if return.ggplot argument is FALSE. Of note, a non-null $ggplot in the output list is sometimes annoying as the manipulation of this list prints the plot
-# $gtable: gtable object that can be used for reprint (use gridExtra::grid.arrange(...$ggplot) or with additionnal grobs (see the grob decomposition in the examples). NULL if return.ggplot argument is FALSE. Contrary to $ggplot, a non-NULL $gtable in the output list is not annoying as the manipulation of this list does not print the plot
-# EXAMPLES
-# DEBUGGING
-# set.seed(1) ; obs1 <- data.frame(km = rnorm(1000, 10, 3), time = rnorm(1000, 10, 3), group1 = rep(c("A1", "A2"), 500), stringsAsFactors = TRUE) ; obs2 <-data.frame(km = rnorm(1000, 15, 3), time = rnorm(1000, 15, 3), group2 = rep(c("G1", "G2"), 500), stringsAsFactors = TRUE) ; set.seed(NULL) ; obs1$km[2:3] <- NA ; data1 = list(L1 = obs1, L2 = obs2) ; x = list(L1 = "km", L2 = "km") ; y = list(L1 = "time", L2 = "time") ; categ = list(L1 = "group1", L2 = "group2") ; categ.class.order = NULL ; legend.name = NULL ; color = list(L1 = 4:5, L2 = 7:8) ; geom = list(L1 = "geom_point", L2 = "geom_point") ; geom.step.dir = "hv" ; alpha = list(L1 = 0.5, L2 = 0.5) ; dot.size = 3 ; dot.shape = 21 ; dot.border.size = 0.5 ; dot.border.color = NULL ; line.size = 0.5 ; line.type = "solid" ; x.lim = NULL ; x.lab = "KM" ; x.log = "no" ; x.tick.nb = 10 ; x.second.tick.nb = 1 ; x.left.extra.margin = 0 ; x.right.extra.margin = 0 ; y.lim = c(1, 25) ; y.lab = "TIME (s)" ; y.log = "no" ; y.tick.nb = 5 ; y.second.tick.nb = 2 ; y.top.extra.margin = 0 ; y.bottom.extra.margin = 0 ; x.include.zero = TRUE ; y.include.zero = TRUE ; x.text.angle = 0 ; y.text.angle = 0 ; text.size = 12 ; title = "" ; title.text.size = 8 ; legend.show = TRUE ; legend.width = 0.5 ; article = FALSE ; grid = FALSE ; raster = TRUE ; raster.ratio = 1 ; raster.threshold = NULL ; return = FALSE ; return.ggplot = FALSE ; return.gtable = FALSE ; plot = TRUE ; add = NULL ; warn.print = TRUE ; lib.path = NULL
-# data1 <- list(L1 = data.frame(a = 1:6, b = (1:6)^2, group = c("A", "A", "A", "B", "B", "B"), stringsAsFactors = TRUE), L2 = data.frame(a = (1:6)*2, b = ((1:6)^2)*2, group = c("A1", "A1", "A1", "B1", "B1", "B1"), stringsAsFactors = TRUE), L3 = data.frame(a = (1:6)*3, b = ((1:6)^2)*3, group3 = c("A4", "A5", "A6", "A7", "B4", "B5"), stringsAsFactors = TRUE)) ; data1$L1$a[3] <- NA ; data1$L1$group[5] <- NA ; data1$L3$group3[4] <- NA ; data1 ; x = list(L1 = names(data1$L1)[1], L2 = names(data1$L2)[1], L3 = NULL) ; y = list(L1 = names(data1$L1)[2], L2 = names(data1$L2)[2], L3 = "a") ; categ = list(L1 = "group", L2 = NULL, L3 = NULL) ; categ.class.order = NULL ; legend.name = NULL ; color = NULL ; geom = list(L1 = "geom_point", L2 = "geom_point", L3 = "geom_hline") ; geom.step.dir = "hv" ; alpha = list(L1 = 0.5, L2 = 0.5, L3 = 0.5) ; dot.size = 1 ; dot.shape = 21 ; dot.border.size = 0.5 ; dot.border.color = NULL ; line.size = 0.5 ; line.type = "solid" ; x.lim = c(14, 4) ; x.lab = NULL ; x.log = "log10" ; x.tick.nb = 10 ; x.second.tick.nb = 4 ; x.left.extra.margin = 0 ; x.right.extra.margin = 0 ; y.lim = c(60, 5) ; y.lab = NULL ; y.log = "log10" ; y.tick.nb = 10 ; y.second.tick.nb = 2 ; y.top.extra.margin = 0 ; y.bottom.extra.margin = 0 ; x.include.zero = TRUE ; y.include.zero = TRUE ; x.text.angle = 0 ; y.text.angle = 0 ; text.size = 12 ; title = "" ; title.text.size = 8 ; legend.show = TRUE ; legend.width = 0.5 ; article = TRUE ; grid = FALSE ; raster = FALSE ; raster.ratio = 1 ; raster.threshold = NULL ; return = TRUE ; return.ggplot = FALSE ; return.gtable = FALSE ; plot = TRUE ; add = NULL ; warn.print = TRUE ; lib.path = NULL
-# data1 <- data.frame(km = 2:7, time = (2:7)^2, group = c("A", "A", "A", "B", "B", "B"), stringsAsFactors = TRUE) ; data1 ; x = "km"; y = "time"; categ = "group" ; categ.class.order = NULL ; legend.name = NULL ; color = NULL ; geom = "geom_point" ; geom.step.dir = "hv" ; alpha = 0.1 ; dot.size = 3 ; dot.shape = 21 ; dot.border.size = 0.5 ; dot.border.color = NULL ; line.size = 0.5 ; line.type = "solid" ; x.lim = c(1,10) ; x.lab = NULL ; x.log = "log10" ; x.tick.nb = 10 ; x.second.tick.nb = 4 ; x.left.extra.margin = 0 ; x.right.extra.margin = 0 ; y.lim = NULL ; y.lab = expression(paste("TIME (", 10^-20, " s)")) ; y.log = "log10" ; y.tick.nb = 10 ; y.second.tick.nb = 2 ; y.top.extra.margin = 0 ; y.bottom.extra.margin = 0 ; x.include.zero = TRUE ; y.include.zero = TRUE ; x.text.angle = 0 ; y.text.angle = 0 ; text.size = 12 ; title = "" ; title.text.size = 8 ; legend.show = TRUE ; legend.width = 0.5 ; article = FALSE ; grid = FALSE ; raster = FALSE ; raster.ratio = 1 ; raster.threshold = NULL ; return = FALSE ; return.ggplot = FALSE ; return.gtable = FALSE ; plot = TRUE ; add = NULL ; warn.print = TRUE ; lib.path = NULL
-# function name
-function.name <- paste0(as.list(match.call(expand.dots=FALSE))[[1]], "()")
-arg.names <- names(formals(fun = sys.function(sys.parent(n = 2)))) # names of all the arguments
-arg.user.setting <- as.list(match.call(expand.dots=FALSE))[-1] # list of the argument settings (excluding default values not provided by the user)
-# end function name
-# required function checking
-req.function <- c(
-"fun_check",
-"fun_gg_just",
-"fun_gg_empty_graph",
-"fun_gg_palette",
-"fun_gg_point_rast",
-"fun_round",
-"fun_pack",
-"fun_scale",
-"fun_inter_ticks"
-)
-for(i1 in req.function){
-if(length(find(i1, mode = "function")) == 0){
-tempo.cat <- paste0("ERROR IN ", function.name, ": REQUIRED ", i1, "() FUNCTION IS MISSING IN THE R ENVIRONMENT")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE)
-}
-}
-# end required function checking
-# reserved words to avoid bugs (used in this function)
-reserved.words <- c("fake_x", "fake_y", "fake_categ")
-# end reserved words to avoid bugs (used in this function)
-# arg with no default values
-if(any(missing(data1) | missing(x) | missing(y))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ARGUMENTS angle AND pos HAVE NO DEFAULT VALUE AND REQUIRE ONE")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# end arg with no default values
-# primary argument checking
-arg.check <- NULL #
-text.check <- NULL #
-checked.arg.names <- NULL # for function debbuging: used by r_debugging_tools
-ee <- expression(arg.check <- c(arg.check, tempo$problem) , text.check <- c(text.check, tempo$text) , checked.arg.names <- c(checked.arg.names, tempo$fun.name))
-tempo1 <- fun_check(data = data1, class = "data.frame", na.contain = TRUE, fun.name = function.name)
-tempo2 <- fun_check(data = data1, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": data1 ARGUMENT MUST BE A DATA FRAME OR A LIST OF DATA FRAMES")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-if( ! is.null(x)){
-tempo1 <- fun_check(data = x, class = "vector", mode = "character", na.contain = TRUE, length = 1, fun.name = function.name)
-tempo2 <- fun_check(data = x, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": x ARGUMENT MUST BE A SINGLE CHARACTER STRING OR A LIST OF CHARACTER STRINGS")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-if( ! is.null(y)){
-tempo1 <- fun_check(data = y, class = "vector", mode = "character", na.contain = TRUE, length = 1, fun.name = function.name)
-tempo2 <- fun_check(data = y, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": y ARGUMENT MUST BE A SINGLE CHARACTER STRING OR A LIST OF CHARACTER STRINGS")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-if( ! is.null(categ)){
-tempo1 <- fun_check(data = categ, class = "vector", mode = "character", length = 1, fun.name = function.name)
-tempo2 <- fun_check(data = categ, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": categ ARGUMENT MUST BE A SINGLE CHARACTER STRING OR A LIST OF CHARACTER STRINGS")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-if( ! is.null(categ.class.order)){
-if(is.null(categ)){
-tempo.cat <- paste0("ERROR IN ", function.name, ": categ.class.order ARGUMENT IS NOT NULL, BUT categ IS")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-tempo1 <- fun_check(data = categ.class.order, class = "vector", mode = "character", fun.name = function.name)
-tempo2 <- fun_check(data = categ.class.order, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": categ.class.order ARGUMENT MUST BE A VECTOR OF CHARACTER STRINGS OR A LIST OF VECTOR OF CHARACTER STRINGS")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-if( ! is.null(legend.name)){
-tempo1 <- fun_check(data = legend.name, class = "vector", mode = "character", na.contain = TRUE, length = 1, fun.name = function.name)
-tempo2 <- fun_check(data = legend.name, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": legend.name ARGUMENT MUST BE A SINGLE CHARACTER STRING OR A LIST OF CHARACTER STRINGS")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-if( ! is.null(color)){
-tempo1 <- fun_check(data = color, class = "vector", mode = "character", na.contain = TRUE, fun.name = function.name)
-tempo2 <- fun_check(data = color, class = "factor", na.contain = TRUE, fun.name = function.name)
-tempo3 <- fun_check(data = color, class = "integer", double.as.integer.allowed = TRUE, na.contain = TRUE, fun.name = function.name)
-tempo4 <- fun_check(data = color, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE & tempo3$problem == TRUE & tempo4$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": color ARGUMENT MUST BE A VECTOR (OF CHARACTER STRINGS OR INTEGERS) OR A FACTOR OR A LIST OF THESE POSSIBILITIES")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-tempo1 <- fun_check(data = geom, class = "vector", mode = "character", na.contain = FALSE, length = 1, fun.name = function.name)
-tempo2 <- fun_check(data = geom, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": geom ARGUMENT MUST BE A SINGLE CHARACTER STRING OR A LIST OF CHARACTER STRINGS")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-tempo1 <- fun_check(data = geom.step.dir, options = c("vh", "hv", "mid"), na.contain = FALSE, length = 1, fun.name = function.name)
-tempo2 <- fun_check(data = geom.step.dir, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": geom.step.dir ARGUMENT MUST BE A SINGLE CHARACTER STRING (\"vh\" OR \"hv\" OR \"mid\") OR A LIST OF THESE CHARACTER STRINGS")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-tempo1 <- fun_check(data = alpha, prop = TRUE, length = 1, fun.name = function.name)
-tempo2 <- fun_check(data = alpha, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": alpha ARGUMENT MUST BE A SINGLE NUMERIC VALUE BETWEEN 0 AND 1 OR A LIST OF SUCH VALUES")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-tempo1 <- fun_check(data = dot.size, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name)
-tempo2 <- fun_check(data = dot.size, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.size ARGUMENT MUST BE A SINGLE NUMERIC VALUE OR A LIST OF SINGLE NUMERIC VALUES")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-tempo1 <- fun_check(data = dot.shape, class = "vector", length = 1, fun.name = function.name)
-tempo2 <- fun_check(data = dot.shape, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.shape ARGUMENT MUST BE A SINGLE SHAPE VALUE OR A LIST OF SINGLE SHAPE VALUES (SEE https://ggplot2.tidyverse.org/articles/ggplot2-specs.html)")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-tempo1 <- fun_check(data = dot.border.size, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name)
-tempo2 <- fun_check(data = dot.border.size, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.border.size ARGUMENT MUST BE A SINGLE NUMERIC VALUE OR A LIST OF SINGLE NUMERIC VALUES")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-if( ! is.null(dot.border.color)){
-tempo1 <- fun_check(data = dot.border.color, class = "vector", mode = "character", length = 1, fun.name = function.name)
-tempo2 <- fun_check(data = dot.border.color, class = "vector", typeof = "integer", double.as.integer.allowed = TRUE, length = 1, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-# integer colors -> gg_palette
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.border.color MUST BE A SINGLE CHARACTER STRING OF COLOR OR A SINGLE INTEGER VALUE")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-tempo1 <- fun_check(data = line.size, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name)
-tempo2 <- fun_check(data = line.size, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": line.size ARGUMENT MUST BE A SINGLE NUMERIC VALUE OR A LIST OF SINGLE NUMERIC VALUES")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-tempo1 <- fun_check(data = line.type, class = "vector", typeof = "integer", double.as.integer.allowed = FALSE, length = 1, fun.name = function.name)
-tempo2 <- fun_check(data = line.type, class = "vector", mode = "character", length = 1, fun.name = function.name)
-tempo3 <- fun_check(data = line.type, class = "list", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE & tempo3$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": line.type ARGUMENT MUST BE A SINGLE LINE KIND VALUE OR A LIST OF SINGLE LINE KIND VALUES (SEE https://ggplot2.tidyverse.org/articles/ggplot2-specs.html)")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-if( ! is.null(x.lim)){
-tempo <- fun_check(data = x.lim, class = "vector", mode = "numeric", length = 2, fun.name = function.name) ; eval(ee)
-if(tempo$problem == FALSE & any(x.lim %in% c(Inf, -Inf))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": x.lim ARGUMENT CANNOT CONTAIN -Inf OR Inf VALUES")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-if( ! is.null(x.lab)){
-if(all(class(x.lab) %in% "expression")){ # to deal with math symbols
-tempo <- fun_check(data = x.lab, class = "expression", length = 1, fun.name = function.name) ; eval(ee)
-}else{
-tempo <- fun_check(data = x.lab, class = "vector", mode = "character", length = 1, fun.name = function.name) ; eval(ee)
-}
-}
-tempo <- fun_check(data = x.log, options = c("no", "log2", "log10"), length = 1, fun.name = function.name) ; eval(ee)
-if( ! is.null(x.tick.nb)){
-tempo <- fun_check(data = x.tick.nb, class = "vector", typeof = "integer", length = 1, double.as.integer.allowed = TRUE, fun.name = function.name) ; eval(ee)
-if(tempo$problem == FALSE & x.tick.nb < 0){
-tempo.cat <- paste0("ERROR IN ", function.name, ": x.tick.nb ARGUMENT MUST BE A NON-NULL POSITIVE INTEGER")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-if( ! is.null(x.second.tick.nb)){
-tempo <- fun_check(data = x.second.tick.nb, class = "vector", typeof = "integer", length = 1, double.as.integer.allowed = TRUE, fun.name = function.name) ; eval(ee)
-if(tempo$problem == FALSE & x.second.tick.nb <= 0){
-tempo.cat <- paste0("ERROR IN ", function.name, ": x.second.tick.nb ARGUMENT MUST BE A NON-NULL POSITIVE INTEGER")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-tempo <- fun_check(data = x.include.zero, class = "vector", mode = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = x.left.extra.margin, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = x.right.extra.margin, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = x.text.angle, class = "vector", typeof = "integer", double.as.integer.allowed = TRUE, length = 1, neg.values = TRUE, fun.name = function.name) ; eval(ee)
-if( ! is.null(y.lim)){
-tempo <- fun_check(data = y.lim, class = "vector", mode = "numeric", length = 2, fun.name = function.name) ; eval(ee)
-if(tempo$problem == FALSE & any(y.lim %in% c(Inf, -Inf))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": y.lim ARGUMENT CANNOT CONTAIN -Inf OR Inf VALUES")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-if( ! is.null(y.lab)){
-if(all(class(y.lab) %in% "expression")){ # to deal with math symbols
-tempo <- fun_check(data = y.lab, class = "expression", length = 1, fun.name = function.name) ; eval(ee)
-}else{
-tempo <- fun_check(data = y.lab, class = "vector", mode = "character", length = 1, fun.name = function.name) ; eval(ee)
-}
-}
-tempo <- fun_check(data = y.log, options = c("no", "log2", "log10"), length = 1, fun.name = function.name) ; eval(ee)
-if( ! is.null(y.tick.nb)){
-tempo <- fun_check(data = y.tick.nb, class = "vector", typeof = "integer", length = 1, double.as.integer.allowed = TRUE, fun.name = function.name) ; eval(ee)
-if(tempo$problem == FALSE & y.tick.nb < 0){
-tempo.cat <- paste0("ERROR IN ", function.name, ": y.tick.nb ARGUMENT MUST BE A NON-NULL POSITIVE INTEGER")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-if( ! is.null(y.second.tick.nb)){
-tempo <- fun_check(data = y.second.tick.nb, class = "vector", typeof = "integer", length = 1, double.as.integer.allowed = TRUE, fun.name = function.name) ; eval(ee)
-if(tempo$problem == FALSE & y.second.tick.nb <= 0){
-tempo.cat <- paste0("ERROR IN ", function.name, ": y.second.tick.nb ARGUMENT MUST BE A NON-NULL POSITIVE INTEGER")
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-tempo <- fun_check(data = y.include.zero, class = "vector", mode = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = y.top.extra.margin, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = y.bottom.extra.margin, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = y.text.angle, class = "vector", typeof = "integer", double.as.integer.allowed = TRUE, length = 1, neg.values = TRUE, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = text.size, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = title, class = "vector", mode = "character", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = title.text.size, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = legend.show, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-if( ! is.null(legend.width)){
-tempo <- fun_check(data = legend.width, prop = TRUE, length = 1, fun.name = function.name) ; eval(ee)
-}
-tempo <- fun_check(data = raster, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = raster.ratio, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
-if( ! is.null(raster.threshold)){
-tempo <- fun_check(data = raster.threshold, class = "vector", typeof = "integer", neg.values = FALSE, double.as.integer.allowed = TRUE, fun.name = function.name) ; eval(ee)
-}
-tempo <- fun_check(data = article, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = grid, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = return, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = return.ggplot, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = return.gtable, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-tempo <- fun_check(data = plot, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-if( ! is.null(add)){
-tempo <- fun_check(data = add, class = "vector", mode = "character", length = 1, fun.name = function.name) ; eval(ee)
-}
-tempo <- fun_check(data = warn.print, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
-if( ! is.null(lib.path)){
-tempo <- fun_check(data = lib.path, class = "vector", mode = "character", fun.name = function.name) ; eval(ee)
-if(tempo$problem == FALSE){
-if( ! all(dir.exists(lib.path))){ # separation to avoid the problem of tempo$problem == FALSE and lib.path == NA
-tempo.cat <- paste0("ERROR IN ", function.name, ": DIRECTORY PATH INDICATED IN THE lib.path ARGUMENT DOES NOT EXISTS:\n", paste(lib.path, collapse = "\n"))
-text.check <- c(text.check, tempo.cat)
-arg.check <- c(arg.check, TRUE)
-}
-}
-}
-if(any(arg.check) == TRUE){
-stop(paste0("\n\n================\n\n", paste(text.check[arg.check], collapse = "\n"), "\n\n================\n\n"), call. = FALSE) #
-}
-# source("C:/Users/Gael/Documents/Git_versions_to_use/debugging_tools_for_r_dev-v1.2/r_debugging_tools-v1.2.R") ; eval(parse(text = str_basic_arg_check_dev)) ; eval(parse(text = str_arg_check_with_fun_check_dev)) # activate this line and use the function (with no arguments left as NULL) to check arguments status and if they have been checked using fun_check()
-# end primary argument checking
-
-
-# second round of checking and data preparation
-# dealing with NA arguments
-tempo.arg <- names(arg.user.setting) # values provided by the user
-tempo.log <- sapply(lapply(lapply(tempo.arg, FUN = get, env = sys.nframe(), inherit = FALSE), FUN = is.na), FUN = any) & lapply(lapply(tempo.arg, FUN = get, env = sys.nframe(), inherit = FALSE), FUN = length) == 1 # no argument provided by the user can be just NA
-if(any(tempo.log) == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ":\n", ifelse(sum(tempo.log, na.rm = TRUE) > 1, "THESE ARGUMENTS\n", "THIS ARGUMENT\n"), paste0(tempo.arg[tempo.log], collapse = "\n"),"\nCANNOT JUST BE NA")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# end dealing with NA arguments
-# dealing with NULL arguments
-tempo.arg <-c(
-"data1",
-# "x", # inactivated because of hline or vline
-# "y", # inactivated because of hline or vline
-"geom",
-"geom.step.dir",
-"alpha",
-"dot.size",
-"dot.shape",
-"dot.border.size",
-"line.size",
-"line.type",
-"x.log",
-"x.include.zero",
-"x.left.extra.margin",
-"x.right.extra.margin",
-"x.text.angle",
-"y.log",
-"y.include.zero",
-"y.top.extra.margin",
-"y.bottom.extra.margin",
-"y.text.angle",
-"text.size",
-"title",
-"title.text.size",
-"legend.show",
-# "legend.width", # inactivated because can be null
-"raster",
-"raster.ratio",
-"article",
-"grid",
-"return",
-"return.ggplot",
-"return.gtable",
-"plot",
-"warn.print"
-)
-tempo.log <- sapply(lapply(tempo.arg, FUN = get, env = sys.nframe(), inherit = FALSE), FUN = is.null)
-if(any(tempo.log) == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ":\n", ifelse(sum(tempo.log, na.rm = TRUE) > 1, "THESE ARGUMENTS\n", "THIS ARGUMENT\n"), paste0(tempo.arg[tempo.log], collapse = "\n"),"\nCANNOT BE NULL")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n"), call. = FALSE) # == in stop() to be able to add several messages between ==
-}
-# end dealing with NULL arguments
-# check list lengths (and names of data1 compartments if present)
-ini.warning.length <- options()$warning.length
-warn <- NULL
-warn.count <- 0
-list.color <- NULL
-list.geom <- NULL
-list.geom.step.dir <- NULL
-list.alpha <- NULL
-list.dot.size <- NULL
-list.dot.shape <- NULL
-list.dot.border.size <- NULL
-list.dot.border.color <- NULL
-list.line.size <- NULL
-list.line.type <- NULL
-if(all(class(data1) == "list")){
-if(length(data1) > 6){
-tempo.cat <- paste0("ERROR IN ", function.name, ": data1 ARGUMENT MUST BE A LIST OF 6 DATA FRAMES MAXIMUM (6 OVERLAYS MAX)")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-if(is.null(names(data1))){
-names(data1) <- paste0("L", 1:length(data1))
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NULL NAME COMPARTMENT OF data1 LIST -> NAMES RESPECTIVELY ATTRIBUTED TO EACH COMPARTMENT:\n", paste(names(data1), collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-if( ! is.null(x)){
-if( ! (all(class(x) == "list") & length(data1) == length(x))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": x ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}else{
-x <- vector("list", length(data1))
-}
-if( ! is.null(y)){
-if( ! (all(class(y) == "list") & length(data1) == length(y))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": y ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}else{
-y <- vector("list", length(data1))
-}
-if( ! is.null(categ)){
-if( ! (all(class(categ) == "list") & length(data1) == length(categ))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": categ ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-if( ! is.null(categ.class.order)){
-if( ! (all(class(categ.class.order) == "list") & length(data1) == length(categ.class.order))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": categ.class.order ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-if( ! is.null(color)){
-if( ! ((all(class(color) == "list") & length(data1) == length(color)) | ((all(mode(color) == "character") | all(mode(color) == "numeric")) & length(color) == 1))){ # list of same length as data1 or single value
-tempo.cat <- paste0("ERROR IN ", function.name, ": color ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST, OR A SINGLE CHARACTER STRING OR INTEGER")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if((all(mode(color) == "character") | all(mode(color) == "numeric")) & length(color) == 1){ # convert the single value into a list of single value
-list.color <- vector(mode = "list", length = length(data1))
-list.color[] <- color
-}
-}
-if( ! ((all(class(geom) == "list") & length(data1) == length(geom)) | (all(mode(geom) == "character") & length(geom) == 1))){ # list of same length as data1 or single value
-tempo.cat <- paste0("ERROR IN ", function.name, ": geom ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST, OR A SINGLE CHARACTER VALUE")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(all(mode(geom) == "character") & length(geom) == 1){ # convert the single value into a list of single value
-list.geom <- vector(mode = "list", length = length(data1))
-list.geom[] <- geom
-}
-if( ! ((all(class(geom.step.dir) == "list") & length(data1) == length(geom.step.dir)) | (all(mode(geom.step.dir) == "character") & length(geom.step.dir) == 1))){ # list of same length as data1 or single value
-tempo.cat <- paste0("ERROR IN ", function.name, ": geom.step.dir ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST, OR A SINGLE CHARACTER VALUE")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(all(mode(geom.step.dir) == "character") & length(geom.step.dir) == 1){ # convert the single value into a list of single value
-list.geom.step.dir <- vector(mode = "list", length = length(data1))
-list.geom.step.dir[] <- geom.step.dir
-}
-if( ! ((all(class(alpha) == "list") & length(data1) == length(alpha)) | (all(mode(alpha) == "numeric") & length(alpha) == 1))){ # list of same length as data1 or single value
-tempo.cat <- paste0("ERROR IN ", function.name, ": alpha ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST, OR A SINGLE NUMERIC VALUE")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(all(mode(alpha) == "numeric") & length(alpha) == 1){ # convert the single value into a list of single value
-list.alpha <- vector(mode = "list", length = length(data1))
-list.alpha[] <- alpha
-}
-if( ! ((all(class(dot.size) == "list") & length(data1) == length(dot.size)) | (all(mode(dot.size) == "numeric") & length(dot.size) == 1))){ # list of same length as data1 or single value
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.size ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST, OR A SINGLE NUMERIC VALUE")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(all(mode(dot.size) == "numeric") & length(dot.size) == 1){ # convert the single value into a list of single value
-list.dot.size <- vector(mode = "list", length = length(data1))
-list.dot.size[] <- dot.size
-}
-if( ! ((all(class(dot.shape) == "list") & length(data1) == length(dot.shape)) | (all(mode(dot.shape) != "list") & length(dot.shape) == 1))){ # list of same length as data1 or single value
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.shape ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST, OR A SINGLE SHAPE VALUE")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(all(mode(dot.shape) != "list") & length(dot.shape) == 1){ # convert the single value into a list of single value
-list.dot.shape <- vector(mode = "list", length = length(data1))
-list.dot.shape[] <- dot.shape
-}
-if( ! ((all(class(dot.border.size) == "list") & length(data1) == length(dot.border.size)) | (all(mode(dot.border.size) == "numeric") & length(dot.border.size) == 1))){ # list of same length as data1 or single value
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.border.size ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST, OR A SINGLE NUMERIC VALUE")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(all(mode(dot.border.size) == "numeric") & length(dot.border.size) == 1){ # convert the single value into a list of single value
-list.dot.border.size <- vector(mode = "list", length = length(data1))
-list.dot.border.size[] <- dot.border.size
-}
-if( ! is.null(dot.border.color)){
-if( ! ((all(class(dot.border.color) == "list") & length(data1) == length(dot.border.color)) | ((all(mode(dot.border.color) == "character") | all(mode(dot.border.color) == "numeric")) & length(dot.border.color) == 1))){ # list of same length as data1 or single value
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.border.color ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST, OR A SINGLE CHARACTER STRING OR INTEGER")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if((all(mode(dot.border.color) == "character") | all(mode(dot.border.color) == "numeric")) & length(dot.border.color) == 1){ # convert the single value into a list of single value
-list.dot.border.color <- vector(mode = "list", length = length(data1))
-list.dot.border.color[] <- dot.border.color
-}
-}
-if( ! ((all(class(line.size) == "list") & length(data1) == length(line.size)) | (all(mode(line.size) == "numeric") & length(line.size) == 1))){ # list of same length as data1 or single value
-tempo.cat <- paste0("ERROR IN ", function.name, ": line.size ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST, OR A SINGLE NUMERIC VALUE")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(all(mode(line.size) == "numeric") & length(line.size) == 1){ # convert the single value into a list of single value
-list.line.size <- vector(mode = "list", length = length(data1))
-list.line.size[] <- line.size
-}
-if( ! ((all(class(line.type) == "list") & length(data1) == length(line.type)) | (all(mode(line.type) != "list") & length(line.type) == 1))){ # list of same length as data1 or single value
-tempo.cat <- paste0("ERROR IN ", function.name, ": line.type ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST, OR A SINGLE LINE KIND VALUE")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(all(mode(line.type) != "list") & length(line.type) == 1){ # convert the single value into a list of single value
-list.line.type <- vector(mode = "list", length = length(data1))
-list.line.type[] <- line.type
-}
-if( ! is.null(legend.name)){
-if( ! (all(class(legend.name) == "list") & length(data1) == length(legend.name))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": legend.name ARGUMENT MUST BE A LIST OF SAME LENGTH AS data1 IF data1 IS A LIST")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-}
-# end check list lengths (and names of data1 compartments if present)
-# conversion into lists
-if(all(is.data.frame(data1))){
-data1 <- list(L1 = data1)
-if(all(class(x) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": x ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-x <- list(L1 = x)
-}
-if(all(class(y) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": y ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-y <- list(L1 = y)
-}
-if( ! is.null(categ)){
-if(all(class(categ) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": categ ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-categ <- list(L1 = categ)
-}
-}
-if( ! is.null(categ.class.order)){
-if(all(class(categ.class.order) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": categ.class.order ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-categ.class.order <- list(L1 = categ.class.order)
-}
-}
-if( ! is.null(color)){
-if(all(class(color) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": color ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-color <- list(L1 = color)
-}
-}
-if(all(class(geom) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": geom ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-geom <- list(L1 = geom)
-}
-if(all(class(geom.step.dir) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": geom.step.dir ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-geom.step.dir <- list(L1 = geom.step.dir)
-}
-if(all(class(alpha) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": alpha ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-alpha <- list(L1 = alpha)
-}
-if(all(class(dot.size) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.size ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-dot.size <- list(L1 = dot.size)
-}
-if(all(class(dot.shape) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.shape ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-dot.shape <- list(L1 = dot.shape)
-}
-if(all(class(dot.border.size) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.border.size ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-dot.border.size <- list(L1 = dot.border.size)
-}
-if( ! is.null(dot.border.color)){
-if(all(class(dot.border.color) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": dot.border.color ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-dot.border.color <- list(L1 = dot.border.color)
-}
-}
-if(all(class(line.size) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": line.size ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-line.size <- list(L1 = line.size)
-}
-if(all(class(line.type) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": line.type ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-line.type <- list(L1 = line.type)
-}
-if( ! is.null(legend.name)){
-if(all(class(legend.name) == "list")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": legend.name ARGUMENT CANNOT BE A LIST IF data1 IS A DATA FRAME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-legend.name <- list(L1 = legend.name)
-}
-}
-}else if( ! all(sapply(data1, FUN = "class") == "data.frame")){ # if not a data frame, data1 can only be a list, as tested above
-tempo.cat <- paste0("ERROR IN ", function.name, ": data1 ARGUMENT MUST BE A DATA FRAME OR A LIST OF DATA FRAMES")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-# single value converted into list now reattributed to the argument name
-if( ! is.null(color)){
-if( ! is.null(list.color)){
-color <- list.color
-}
-}
-if( ! is.null(list.geom)){
-geom <- list.geom
-}
-if( ! is.null(list.geom.step.dir)){
-geom.step.dir <- list.geom.step.dir
-}
-if( ! is.null(list.alpha)){
-alpha <- list.alpha
-}
-if( ! is.null(list.dot.size)){
-dot.size <- list.dot.size
-}
-if( ! is.null(list.dot.shape)){
-dot.shape <- list.dot.shape
-}
-if( ! is.null(list.dot.border.size)){
-dot.border.size <- list.dot.border.size
-}
-if( ! is.null(dot.border.color)){
-if( ! is.null(list.dot.border.color)){
-dot.border.color <- list.dot.border.color
-}
-}
-if( ! is.null(list.line.size)){
-line.size <- list.line.size
-}
-if( ! is.null(list.line.type)){
-line.type <- list.line.type
-}
-# end single value converted into list now reattributed to the argument name
-# data, x, y, geom, alpha, dot.size, shape, dot.border.size, line.size, line.type, legend.name are list now
-# if non-null, categ, categ.class.order, legend.name, color are list now
-# end conversion into lists
-# verif of add
-if( ! is.null(add)){
-if( ! grepl(pattern = "^\\s*\\+", add)){ # check that the add string start by +
-tempo.cat <- paste0("ERROR IN ", function.name, ": add ARGUMENT MUST START WITH \"+\": ", paste(unique(add), collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-
-}else if( ! grepl(pattern = "(ggplot2|lemon)\\s*::", add)){ #
-tempo.cat <- paste0("ERROR IN ", function.name, ": FOR EASIER FUNCTION DETECTION, add ARGUMENT MUST CONTAIN \"ggplot2::\" OR \"lemon::\" IN FRONT OF EACH GGPLOT2 FUNCTION: ", paste(unique(add), collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if( ! grepl(pattern = ")\\s*$", add)){ # check that the add string finished by )
-tempo.cat <- paste0("ERROR IN ", function.name, ": add ARGUMENT MUST FINISH BY \")\": ", paste(unique(add), collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-# end verif of add
-# management of add containing facet
-facet.categ <- NULL
-if( ! is.null(add)){
-facet.check <- TRUE
-tempo <- unlist(strsplit(x = add, split = "\\s*\\+\\s*(ggplot2|lemon)\\s*::\\s*")) #
-tempo <- sub(x = tempo, pattern = "^facet_wrap", replacement = "ggplot2::facet_wrap")
-tempo <- sub(x = tempo, pattern = "^facet_grid", replacement = "ggplot2::facet_grid")
-tempo <- sub(x = tempo, pattern = "^facet_rep", replacement = "lemon::facet_rep")
-if(length(data1) > 1 & (any(grepl(x = tempo, pattern = "ggplot2::facet_wrap|lemon::facet_rep_wrap")) | grepl(x = add, pattern = "ggplot2::facet_grid|lemon::facet_rep_grid"))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nfacet PANELS CANNOT BE USED IF MORE THAN ONE DATA FRAME IN THE data1 ARGUMENT\nPLEASE REWRITE THE add STRING AND RERUN")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-if(any(grepl(x = tempo, pattern = "ggplot2::facet_wrap|lemon::facet_rep_wrap"))){
-tempo1 <- suppressWarnings(eval(parse(text = tempo[grepl(x = tempo, pattern = "ggplot2::facet_wrap|lemon::facet_rep_wrap")])))
-facet.categ <- list(names(tempo1$params$facets)) # list of length 1
-tempo.text <- "facet_wrap OR facet_rep_wrap"
-facet.check <- FALSE
-}else if(grepl(x = add, pattern = "ggplot2::facet_grid|lemon::facet_rep_grid")){
-tempo1 <- suppressWarnings(eval(parse(text = tempo[grepl(x = tempo, pattern = "ggplot2::facet_grid|lemon::facet_rep_grid")])))
-facet.categ <- list(c(names(tempo1$params$rows), names(tempo1$params$cols))) # list of length 1
-tempo.text <- "facet_grid OR facet_rep_grid"
-facet.check <- FALSE
-}
-if(facet.check == FALSE & ! all(facet.categ %in% names(data1[[1]]))){ # WARNING: all(facet.categ %in% names(data1)) is TRUE when facet.categ is NULL
-tempo.cat <- paste0("ERROR IN ", function.name, "\nDETECTION OF \"", tempo.text, "\" STRING IN THE add ARGUMENT BUT PROBLEM OF VARIABLE DETECTION (COLUMN NAMES OF data1)\nTHE DETECTED VARIABLES ARE:\n", paste(facet.categ, collapse = " "), "\nTHE data1 COLUMN NAMES ARE:\n", paste(names(data1[[1]]), collapse = " "), "\nPLEASE REWRITE THE add STRING AND RERUN")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-}
-# if facet.categ is not NULL, it is a list of length 1 now
-# end management of add containing facet
-# legend name filling
-if(is.null(legend.name) & ! is.null(categ)){
-legend.name <- categ
-}else if(is.null(legend.name) & is.null(categ)){
-legend.name <- vector("list", length(data1)) # null list
-}
-# legend.name not NULL anymore (list)
-# end legend name filling
-# ini categ for legend display
-fin.lg.disp <- vector("list", 6) # will be used at the end to display or not legends
-fin.lg.disp[] <- FALSE
-legend.disp <- vector("list", length(data1))
-if(is.null(categ) | legend.show == FALSE){
-legend.disp[] <- FALSE
-}else{
-for(i2 in 1:length(data1)){
-if(is.null(categ[[i2]])){
-legend.disp[[i2]] <- FALSE
-}else{
-legend.disp[[i2]] <- TRUE
-}
-}
-}
-# end ini categ for legend display
-# integer colors into gg_palette
-tempo.check.color <- NULL
-for(i1 in 1:length(data1)){
-if(any(is.na(color[[i1]]))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), ": color ARGUMENT CANNOT CONTAIN NA")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-tempo.check.color <- c(tempo.check.color, fun_check(data = color[[i1]], data.name = ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), class = "integer", double.as.integer.allowed = TRUE, na.contain = TRUE, fun.name = function.name)$problem)
-}
-tempo.check.color <- ! tempo.check.color # invert TRUE and FALSE because if integer, then problem = FALSE
-if(any(tempo.check.color == TRUE)){ # convert integers into colors
-tempo.integer <- unlist(color[tempo.check.color])
-tempo.color <- fun_gg_palette(max(tempo.integer, na.rm = TRUE))
-for(i1 in 1:length(data1)){
-if(tempo.check.color[i1] == TRUE){
-color[[i1]] <-tempo.color[color[[i1]]]
-}
-}
-}
-# end integer colors into gg_palette
-# loop (checking inside list compartment)
-compart.null.color <- 0 # will be used to attribute a color when color is non-null but a compartment of color is NULL
-data1.ini <- data1 # to report NA removal
-removed.row.nb <- vector("list", length = length(data1)) # to report NA removal. Contains NULL
-removed.rows <- vector("list", length = length(data1)) # to report NA removal. Contains NULL
-for(i1 in 1:length(data1)){
-tempo <- fun_check(data = data1[[i1]], data.name = ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), class = "data.frame", na.contain = TRUE, fun.name = function.name)
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-# reserved word checking
-if(any(names(data1[[i1]]) %in% reserved.words)){ # I do not use fun_name_change() because cannot control y before creating "fake_y". But ok because reserved are not that common
-tempo.cat <- paste0("ERROR IN ", function.name, ": COLUMN NAMES OF ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), " ARGUMENT CANNOT BE ONE OF THESE WORDS\n", paste(reserved.words, collapse = " "), "\nTHESE ARE RESERVED FOR THE ", function.name, " FUNCTION")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-if( ! (is.null(add))){
-if(any(sapply(X = reserved.words, FUN = grepl, x = add))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nDETECTION OF COLUMN NAMES OF data1 IN THE add ARGUMENT STRING, THAT CORRESPOND TO RESERVED STRINGS FOR ", function.name, "\nFOLLOWING COLUMN NAMES HAVE TO BE CHANGED:\n", paste(arg.names[sapply(X = reserved.words, FUN = grepl, x = add)], collapse = "\n"), "\nFOR INFORMATION, THE RESERVED WORDS ARE:\n", paste(reserved.words, collapse = "\n"))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(any(sapply(X = arg.names, FUN = grepl, x = add))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NAMES OF ", function.name, " ARGUMENTS DETECTED IN THE add STRING:\n", paste(arg.names[sapply(X = arg.names, FUN = grepl, x = add)], collapse = "\n"), "\nRISK OF WRONG OBJECT USAGE INSIDE ", function.name)
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# end reserved word checking
-# check of geom now because required for y argument
-tempo <- fun_check(data = geom[[i1]], data.name = ifelse(length(geom) == 1, "geom", paste0("geom NUMBER ", i1)), options = c("geom_point", "geom_line", "geom_path", "geom_step", "geom_hline", "geom_vline", "geom_stick"), length = 1, fun.name = function.name)
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-tempo <- fun_check(data = geom.step.dir[[i1]], data.name = ifelse(length(geom.step.dir) == 1, "geom.step.dir", paste0("geom.step.dir NUMBER ", i1)), options = c("vh", "hv", "mid"), length = 1, fun.name = function.name)
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-# end check of geom now because required for y argument
-if(is.null(x[[i1]])){
-if(all(geom[[i1]] != "geom_hline")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(x) == 1, "x", paste0("ELEMENT ", i1, " OF x ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), ": x ARGUMENT CANNOT BE NULL EXCEPT IF ", ifelse(length(geom) == 1, "x", paste0("geom NUMBER ", i1)), " ARGUMENT IS \"geom_hline\"\nHERE geom ARGUMENT IS: ", paste(geom[[i1]], collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-x[[i1]] <- "fake_x"
-data1[[i1]] <- cbind(data1[[i1]], fake_x = NA, stringsAsFactors = TRUE)
-data1[[i1]][, "fake_x"] <- as.numeric(data1[[i1]][, "fake_x"])
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NULL ", ifelse(length(x) == 1, "x", paste0("ELEMENT ", i1, " OF x")), " ARGUMENT ASSOCIATED TO ", ifelse(length(geom) == 1, "geom", paste0("geom NUMBER ", i1)), " ARGUMENT ", geom[[i1]], " -> FAKE COLUMN ADDED TO DATA FRAME ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), ", NAMED \"fake_x\" FOR FINAL DRAWING")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}else{
-if(all(geom[[i1]] == "geom_hline")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(x) == 1, "x", paste0("ELEMENT ", i1, " OF x ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), ": x ARGUMENT MUST BE NULL IF ", ifelse(length(geom) == 1, "geom", paste0("geom NUMBER ", i1)), " ARGUMENT IS \"geom_hline\"")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-tempo <- fun_check(data = x[[i1]], data.name = ifelse(length(x) == 1, "x", paste0("ELEMENT ", i1, " OF x ARGUMENT")), class = "vector", mode = "character", length = 1, fun.name = function.name)
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-if(is.null(y[[i1]])){
-if(all(geom[[i1]] != "geom_vline")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(y) == 1, "y", paste0("ELEMENT ", i1, " OF y ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), ": y ARGUMENT CANNOT BE NULL EXCEPT IF ", ifelse(length(geom) == 1, "y", paste0("geom NUMBER ", i1)), " ARGUMENT IS \"geom_vline\"\nHERE geom ARGUMENT IS: ", paste(geom[[i1]], collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-y[[i1]] <- "fake_y"
-data1[[i1]] <- cbind(data1[[i1]], fake_y = NA, stringsAsFactors = TRUE)
-data1[[i1]][, "fake_y"] <- as.numeric(data1[[i1]][, "fake_y"])
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NULL ", ifelse(length(y) == 1, "y", paste0("ELEMENT ", i1, " OF y")), " ARGUMENT ASSOCIATED TO ", ifelse(length(geom) == 1, "geom", paste0("geom NUMBER ", i1)), " ARGUMENT ", geom[[i1]], " -> FAKE COLUMN ADDED TO DATA FRAME ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), ", NAMED \"fake_y\" FOR FINAL DRAWING")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}else{
-if(all(geom[[i1]] == "geom_vline")){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(y) == 1, "y", paste0("ELEMENT ", i1, " OF y ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), ": y ARGUMENT MUST BE NULL IF ", ifelse(length(geom) == 1, "geom", paste0("geom NUMBER ", i1)), " ARGUMENT IS \"geom_vline\"")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-tempo <- fun_check(data = y[[i1]], data.name = ifelse(length(y) == 1, "y", paste0("ELEMENT ", i1, " OF y ARGUMENT")), class = "vector", mode = "character", length = 1, fun.name = function.name)
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-# x[[i1]] and y[[i1]] not NULL anymore
-if( ! (x[[i1]] %in% names(data1[[i1]]))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(x) == 1, "x", paste0("ELEMENT ", i1, " OF x")), " ARGUMENT MUST BE A COLUMN NAME OF ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT\nHERE IT IS: ", paste(x[[i1]], collapse = " "))))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-if( ! (y[[i1]] %in% names(data1[[i1]]))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(y) == 1, "y", paste0("ELEMENT ", i1, " OF y")), " ARGUMENT MUST BE A COLUMN NAME OF ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT\nHERE IT IS: ", paste(y[[i1]], collapse = " "))))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-tempo <- fun_check(data = data1[[i1]][, x[[i1]]], data.name = ifelse(length(x) == 1, "x ARGUMENT (AS COLUMN NAME OF data1 DATA FRAME)", paste0("ELEMENT ", i1, " OF x ARGUMENT", " (AS COLUMN NAME OF data1 DATA FRAME NUMBER ", i1, ")")), class = "vector", mode = "numeric", na.contain = TRUE, fun.name = function.name)
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-tempo <- fun_check(data = data1[[i1]][, y[[i1]]], data.name = ifelse(length(y) == 1, "y ARGUMENT (AS COLUMN NAME OF data1 DATA FRAME)", paste0("ELEMENT ", i1, " OF y ARGUMENT", " (AS COLUMN NAME OF data1 DATA FRAME NUMBER ", i1, ")")), class = "vector", mode = "numeric", na.contain = TRUE, fun.name = function.name)
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-if(x[[i1]] == "fake_x" & y[[i1]] == "fake_y"){ # because the code cannot accept to be both "fake_x" and "fake_y" at the same time
-tempo.cat <- paste0("ERROR IN ", function.name, ": CODE INCONSISTENCY 2\nTHE CODE CANNOT ACCEPT x AND y TO BE \"fake_x\" AND \"fake_y\" IN THE SAME DATA FRAME ", i1, " ")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-
-if(( ! is.null(categ)) & ( ! is.null(categ[[i1]]))){ # is.null(categ[[i1]]) works even if categ is NULL # is.null(categ[[i1]]) works even if categ is NULL # if categ[[i1]] = NULL, fake_categ will be created later on
-tempo <- fun_check(data = categ[[i1]], data.name = ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")),, class = "vector", mode = "character", length = 1, fun.name = function.name)
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-if( ! (categ[[i1]] %in% names(data1[[i1]]))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ")), " ARGUMENT MUST BE A COLUMN NAME OF ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT\nHERE IT IS: ", paste(categ[[i1]], collapse = " "))))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-tempo1 <- fun_check(data = data1[[i1]][, categ[[i1]]], data.name = ifelse(length(categ) == 1, "categ OF data1 ARGUMENT", paste0("ELEMENT ", i1, " OF categ ARGUMENT IN DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), class = "vector", mode = "character", na.contain = TRUE, fun.name = function.name)
-tempo2 <- fun_check(data = data1[[i1]][, categ[[i1]]], data.name = ifelse(length(categ) == 1, "categ OF data1 ARGUMENT", paste0("ELEMENT ", i1, " OF categ ARGUMENT IN DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), class = "factor", na.contain = TRUE, fun.name = function.name)
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(categ) == 1, "categ OF data1 ARGUMENT", paste0("ELEMENT ", i1, " OF categ ARGUMENT IN DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), " MUST BE A FACTOR OR CHARACTER VECTOR")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(tempo1$problem == FALSE){
-data1[[i1]][, categ[[i1]]] <- factor(data1[[i1]][, categ[[i1]]]) # if already a factor, change nothing, if characters, levels according to alphabetical order
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), ", THE CHARACTER COLUMN HAS BEEN CONVERTED TO FACTOR")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-
-}
-if(geom[[i1]] == "geom_vline" | geom[[i1]] == "geom_hline"){
-if(length(unique(data1[[i1]][, categ[[i1]]])) != nrow(data1[[i1]])){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(geom) == 1, "geom OF data1 ARGUMENT", paste0("geom NUMBER ", i1, " OF DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), " ARGUMENT IS ", geom[[i1]], ", MEANING THAT ", ifelse(length(categ) == 1, "categ OF data1 ARGUMENT", paste0("ELEMENT ", i1, " OF categ ARGUMENT IN DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), " MUST HAVE A DIFFERENT CLASS PER LINE OF data1 (ONE x VALUE PER CLASS)")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-}else if(( ! is.null(categ)) & is.null(categ[[i1]])){ # is.null(categ[[i1]]) works even if categ is NULL # if categ[[i1]] = NULL, fake_categ will be created. WARNING: is.null(categ[[i1]]) means no legend display (see above), because categ has not been precised. This also means a single color for data1[[i1]]
-if(length(color[[i1]]) > 1){ # 0 means is.null(color[[i1]]) or is.null(color) and 1 is ok -> single color for data1[[i1]]
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NULL ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ")), " ARGUMENT BUT CORRESPONDING COLORS IN ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), " HAS LENGTH OVER 1\n", paste(color[[i1]], collapse = " "), "\nWHICH IS NOT COMPATIBLE WITH NULL CATEG -> COLOR RESET TO A SINGLE COLOR")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-color[i1] <- list(NULL) # will provide a single color below # Warning color[[i1]] <- NULL removes the compartment
-}
-categ[[i1]] <- "fake_categ"
-data1[[i1]] <- cbind(data1[[i1]], fake_categ = "", stringsAsFactors = TRUE)
-# inactivated because give a different color to different "Line_" categ while a single color for all the data1[[i1]] required. Thus, put back after the color management
-# if(geom[[i1]] == "geom_hline" | geom[[i1]] == "geom_vline"){
-# data1[[i1]][, "fake_categ"] <- paste0("Line_", 1:nrow(data1[[i1]]))
-# }else{
-data1[[i1]][, "fake_categ"] <- data1[[i1]][, "fake_categ"] # as.numeric("") create a vector of NA but class numeric
-# }
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NULL ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ")), " ARGUMENT -> FOR DATA FRAME ", ifelse(length(data1) == 1, "data1 ARGUMENT:", paste0("NUMBER ", i1, " OF data1 ARGUMENT:")), "\n- FAKE \"fake_categ\" COLUMN ADDED FILLED WITH \"\"(OR WITH \"Line_...\" FOR LINES)\n- SINGLE COLOR USED FOR PLOTTING\n- NO LEGEND DISPLAYED")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# OK: if categ is not NULL, all the non-null categ columns of data1 are factors from here
-
-# management of log scale and Inf removal
-if(x[[i1]] != "fake_x"){
-if(any(( ! is.finite(data1[[i1]][, x[[i1]]])) & ( ! is.na(data1[[i1]][, x[[i1]]])))){ # is.finite also detects NA: ( ! is.finite(data1[, y])) & ( ! is.na(data1[, y])) detects only Inf
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") PRESENCE OF -Inf OR Inf VALUES IN ", ifelse(length(categ) == 1, "x", paste0("ELEMENT ", i1, " OF x ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), " AND CORRESPONDING ROWS REMOVED (SEE $removed.row.nb AND $removed.rows)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-if(y[[i1]] != "fake_y"){
-if(any(( ! is.finite(data1[[i1]][, y[[i1]]])) & ( ! is.na(data1[[i1]][, y[[i1]]])))){ # is.finite also detects NA: ( ! is.finite(data1[, y])) & ( ! is.na(data1[, y])) detects only Inf
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") PRESENCE OF -Inf OR Inf VALUES IN ", ifelse(length(categ) == 1, "y", paste0("ELEMENT ", i1, " OF y ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), " AND CORRESPONDING ROWS REMOVED (SEE $removed.row.nb AND $removed.rows)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# log conversion
-if(x.log != "no"){
-tempo1 <- ! is.finite(data1[[i1]][, x[[i1]]]) # where are initial NA and Inf
-data1[[i1]][, x[[i1]]] <- suppressWarnings(get(x.log)(data1[[i1]][, x[[i1]]]))# no env = sys.nframe(), inherit = FALSE in get() because look for function in the classical scope
-if(any( ! (tempo1 | is.finite(data1[[i1]][, x[[i1]]])))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") LOG CONVERSION INTRODUCED -Inf OR Inf OR NaN VALUES IN ", ifelse(length(categ) == 1, "x", paste0("ELEMENT ", i1, " OF x ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), " AND CORRESPONDING ROWS REMOVED (SEE $removed.row.nb AND $removed.rows)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-if(y.log != "no"){
-tempo1 <- ! is.finite(data1[[i1]][, y[[i1]]]) # where are initial NA and Inf
-data1[[i1]][, y[[i1]]] <- suppressWarnings(get(y.log)(data1[[i1]][, y[[i1]]]))# no env = sys.nframe(), inherit = FALSE in get() because look for function in the classical scope
-if(any( ! (tempo1 | is.finite(data1[[i1]][, y[[i1]]])))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") LOG CONVERSION INTRODUCED -Inf OR Inf OR NaN VALUES IN ", ifelse(length(categ) == 1, "y", paste0("ELEMENT ", i1, " OF y ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), " AND CORRESPONDING ROWS REMOVED (SEE $removed.row.nb AND $removed.rows)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# Inf removal
-# removed.row.nb[[i1]] <- NULL # already NULL and Warning this removes the compartment
-removed.rows[[i1]] <- data.frame(stringsAsFactors = FALSE)
-if(any(( ! is.finite(data1[[i1]][, x[[i1]]])) & ( ! is.na(data1[[i1]][, x[[i1]]])))){ # is.finite also detects NA: ( ! is.finite(data1[[i1]][, x[[i1]]])) & ( ! is.na(data1[[i1]][, x[[i1]]])) detects only Inf
-removed.row.nb[[i1]] <- c(removed.row.nb[[i1]], which(( ! is.finite(data1[[i1]][, x[[i1]]])) & ( ! is.na(data1[[i1]][, x[[i1]]]))))
-}
-if(any(( ! is.finite(data1[[i1]][, y[[i1]]])) & ( ! is.na(data1[[i1]][, y[[i1]]])))){ # is.finite also detects NA: ( ! is.finite(data1[[i1]][, y[[i1]]])) & ( ! is.na(data1[[i1]][, y[[i1]]])) detects only Inf
-removed.row.nb[[i1]] <- c(removed.row.nb[[i1]], which(( ! is.finite(data1[[i1]][, y[[i1]]])) & ( ! is.na(data1[[i1]][, y[[i1]]]))))
-}
-if( ! is.null(removed.row.nb[[i1]])){
-removed.row.nb[[i1]] <- unique(removed.row.nb[[i1]]) # to remove the duplicated positions (NA in both x and y)
-removed.rows[[i1]] <- rbind(removed.rows[[i1]], data1.ini[[i1]][removed.row.nb[[i1]], ]) # here data1.ini used to have the y = O rows that will be removed because of Inf creation after log transformation
-data1[[i1]] <- data1[[i1]][-removed.row.nb[[i1]], ]
-data1.ini[[i1]] <- data1.ini[[i1]][-removed.row.nb[[i1]], ] #
-}
-# From here, data1 and data.ini have no more Inf
-# end Inf removal
-# x.lim and y.lim dealt later on, after the end f the loop
-# end management of log scale and Inf removal
-# management of log scale
-if(x.log != "no"){
-data1[[i1]][, x[[i1]]] <- suppressWarnings(get(x.log)(data1[[i1]][, x[[i1]]])) # no env = sys.nframe(), inherit = FALSE in get() because look for function in the classical scope
-}
-if(y.log != "no"){
-data1[[i1]][, y[[i1]]] <- suppressWarnings(get(y.log)(data1[[i1]][, y[[i1]]])) # no env = sys.nframe(), inherit = FALSE in get() because look for function in the classical scope
-}
-# end management of log scale
-# na detection and removal
-column.check <- unique(unlist(c( # unlist because creates a list
-if(x[[i1]] == "fake_x"){NULL}else{x[[i1]]},
-if(y[[i1]] == "fake_y"){NULL}else{y[[i1]]},
-if( ! is.null(categ)){if(is.null(categ[[i1]])){NULL}else{categ[[i1]]}},
-if( ! is.null(facet.categ)){if(is.null(facet.categ[[i1]])){NULL}else{facet.categ[[i1]]}}
-))) # dot.categ because can be a 3rd column of data1
-if(any(is.na(data1[[i1]][, column.check]))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NA DETECTED IN COLUMNS ", paste(column.check, collapse = " "), " OF ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), " AND CORRESPONDING ROWS REMOVED (SEE $removed.row.nb AND $removed.rows)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-for(i3 in 1:length(column.check)){
-if(any(is.na(data1[[i1]][, column.check[i3]]))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("NA REMOVAL DUE TO COLUMN ", column.check[i3], " OF ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-tempo <- unique(unlist(lapply(lapply(c(data1[[i1]][column.check]), FUN = is.na), FUN = which)))
-removed.row.nb[[i1]] <- c(removed.row.nb[[i1]], tempo)
-removed.rows[[i1]] <- rbind(removed.rows[[i1]], data1.ini[[i1]][tempo, ]) # # tempo used because removed.row.nb is not empty. Here data1.ini used to have the non NA rows that will be removed because of NAN creation after log transformation (neg values for instance)
-column.check <- column.check[ ! (column.check == x[[i1]] | column.check == y[[i1]])] # remove x and y to keep quali columns
-if(length(tempo) != 0){
-data1[[i1]] <- data1[[i1]][-tempo, ] # WARNING tempo here and not removed.row.nb because the latter contain more numbers thant the former
-data1.ini[[i1]] <- data1.ini[[i1]][-tempo, ] # WARNING tempo here and not removed.row.nb because the latter contain more numbers than the former
-for(i4 in 1:length(column.check)){
-if(any( ! unique(removed.rows[[i1]][, column.check[i4]]) %in% unique(data1[[i1]][, column.check[i4]]))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN COLUMN ", column.check[i4], " OF ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), ", THE FOLLOWING CLASSES HAVE DISAPPEARED AFTER NA REMOVAL\n(IF COLUMN USED IN THE PLOT, THIS CLASS WILL NOT BE DISPLAYED):\n", paste(unique(removed.rows[[i1]][, column.check[i4]])[ ! unique(removed.rows[[i1]][, column.check[i4]]) %in% unique(data1[[i1]][, column.check[i4]])], collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-tempo.levels <- levels(data1[[i1]][, column.check[i4]])[levels(data1[[i1]][, column.check[i4]]) %in% unique(as.character(data1[[i1]][, column.check[i4]]))]
-data1[[i1]][, column.check[i4]] <- factor(as.character(data1[[i1]][, column.check[i4]]), levels = tempo.levels)
-if(column.check[i4] %in% categ[[i1]] & ! is.null(categ.class.order)){
-categ.class.order[[i1]] <- levels(data1[[i1]][, column.check[i4]])[levels(data1[[i1]][, column.check[i4]]) %in% unique(data1[[i1]][, column.check[i4]])] # remove the absent class in the categ.class.order vector
-data1[[i1]][, column.check[i4]] <- factor(as.character(data1[[i1]][, column.check[i4]]), levels = unique(categ.class.order[[i1]]))
-}
-}
-}
-}
-}
-# end na detection and removal
-# From here, data1 and data.ini have no more NA or NaN in x, y, categ (if categ != NULL) and facet.categ (if categ != NULL)
-if( ! is.null(categ.class.order)){
-# the following check will be done several times but I prefer to keep it here, after the creation of categ
-if(is.null(categ[[i1]]) & ! is.null(categ.class.order[[i1]])){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nCOMPARTMENT ", i1, " OF categ ARGUMENT CANNOT BE NULL IF COMPARTMENT ", i1, " OF categ.class.order ARGUMENT IS NOT NULL: ", paste(categ.class.order, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-if(is.null(categ.class.order[[i1]])){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE categ.class.order COMPARTMENT ", i1, " IS NULL. ALPHABETICAL ORDER WILL BE APPLIED")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-data1[[i1]][, categ[[i1]]] <- factor(as.character(data1[[i1]][, categ[[i1]]])) # if already a factor, change nothing, if characters, levels according to alphabetical order
-categ.class.order[[i1]] <- levels(data1[[i1]][, categ[[i1]]]) # character vector that will be used later
-}else{
-tempo <- fun_check(data = categ.class.order[[i1]], data.name = paste0("COMPARTMENT ", i1 , " OF categ.class.order ARGUMENT"), class = "vector", mode = "character", length = length(levels(data1[[i1]][, categ[[i1]]])), fun.name = function.name) # length(data1[, categ[i1]) -> if data1[, categ[i1] was initially character vector, then conversion as factor after the NA removal, thus class number ok. If data1[, categ[i1] was initially factor, no modification after the NA removal, thus class number ok
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-if(any(duplicated(categ.class.order[[i1]]))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nCOMPARTMENT ", i1, " OF categ.class.order ARGUMENT CANNOT HAVE DUPLICATED CLASSES: ", paste(categ.class.order[[i1]], collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if( ! (all(categ.class.order[[i1]] %in% unique(data1[[i1]][, categ[[i1]]])) & all(unique(data1[[i1]][, categ[[i1]]]) %in% categ.class.order[[i1]]))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nCOMPARTMENT ", i1, " OF categ.class.order ARGUMENT MUST BE CLASSES OF COMPARTMENT ", i1, " OF categ ARGUMENT\nHERE IT IS:\n", paste(categ.class.order[[i1]], collapse = " "), "\nFOR COMPARTMENT ", i1, " OF categ.class.order AND IT IS:\n", paste(unique(data1[[i1]][, categ[[i1]]]), collapse = " "), "\nFOR COLUMN ", categ[[i1]], " OF data1 NUMBER ", i1)
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-data1[[i1]][, categ[[i1]]] <- factor(data1[[i1]][, categ[[i1]]], levels = categ.class.order[[i1]]) # reorder the factor
-}
-names(categ.class.order)[i1] <- categ[[i1]]
-}
-}
-# OK: if categ.class.order is not NULL, all the NULL categ.class.order columns of data1 are character from here
-
-if( ! is.null(legend.name[[i1]])){
-tempo <- fun_check(data = legend.name[[i1]], data.name = ifelse(length(legend.name) == 1, "legend.name", paste0("legend.name NUMBER ", i1)),, class = "vector", mode = "character", length = 1, fun.name = function.name)
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-if( ! is.null(color)){ # if color is NULL, will be filled later on
-# check the nature of color
-if(is.null(color[[i1]])){
-compart.null.color <- compart.null.color + 1
-color[[i1]] <- grey(compart.null.color / 8) # cannot be more than 7 overlays. Thus 7 different greys. 8/8 is excluded because white dots
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NULL COLOR IN ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), " ASSOCIATED TO ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), ", SINGLE COLOR ", paste(color[[i1]], collapse = " "), " HAS BEEN ATTRIBUTED")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-tempo1 <- fun_check(data = color[[i1]], data.name = ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), class = "vector", mode = "character", na.contain = TRUE, fun.name = function.name) # na.contain = TRUE in case of colum of data1
-tempo2 <- fun_check(data = color[[i1]], data.name = ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), class = "factor", na.contain = TRUE, fun.name = function.name) # idem
-if(tempo1$problem == TRUE & tempo2$problem == TRUE){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), " MUST BE A FACTOR OR CHARACTER VECTOR OR INTEGER VECTOR") # integer possible because dealt above
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if( ! (all(color[[i1]] %in% colors() | grepl(pattern = "^#", color[[i1]])))){ # check that all strings of low.color start by #
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), " MUST BE A HEXADECIMAL COLOR VECTOR STARTING BY # AND/OR COLOR NAMES GIVEN BY colors(): ", paste(unique(color[[i1]]), collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-if(any(is.na(color[[i1]]))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), ", THE COLORS:\n", paste(unique(color[[i1]]), collapse = " "), "\nCONTAINS NA")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# end check the nature of color
-# check the length of color
-if(is.null(categ) & length(color[[i1]]) != 1){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), " MUST BE A SINGLE COLOR IF categ IS NULL")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if( ! is.null(categ)){
-# No problem of NA management by ggplot2 because already removed
-if(categ[[i1]] == "fake_categ" & length(color[[i1]]) != 1){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), " MUST BE A SINGLE COLOR IF ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")), " IS NULL")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(length(color[[i1]]) == length(unique(data1[[i1]][, categ[[i1]]]))){ # here length(color) is equal to the different number of categ
-data1[[i1]][, categ[[i1]]] <- factor(data1[[i1]][, categ[[i1]]]) # if already a factor, change nothing, if characters, levels according to alphabetical order
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), ", THE FOLLOWING COLORS:\n", paste(color[[i1]], collapse = " "), "\nHAVE BEEN ATTRIBUTED TO THESE CLASSES:\n", paste(levels(factor(data1[[i1]][, categ[[i1]]])), collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}else if(length(color[[i1]]) == length(data1[[i1]][, categ[[i1]]])){# here length(color) is equal to nrow(data1[[i1]]) -> Modif to have length(color) equal to the different number of categ (length(color) == length(levels(data1[[i1]][, categ[[i1]]])))
-data1[[i1]] <- cbind(data1[[i1]], color = color[[i1]], stringsAsFactors = TRUE)
-tempo.check <- unique(data1[[i1]][ , c(categ[[i1]], "color")])
-if( ! (nrow(data1[[i1]]) == length(color[[i1]]) & nrow(tempo.check) == length(unique(data1[[i1]][ , categ[[i1]]])))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color")), " ARGUMENT HAS THE LENGTH OF ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), "\nBUT IS INCORRECTLY ASSOCIATED TO EACH CLASS OF THIS categ:\n", paste(unique(mapply(FUN = "paste", data1[[i1]][ ,categ[[i1]]], data1[[i1]][ ,"color"])), collapse = "\n"))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-data1[[i1]][, categ[[i1]]] <- factor(data1[[i1]][, categ[[i1]]]) # if already a factor, change nothing, if characters, levels according to alphabetical order
-color[[i1]] <- unique(color[[i1]][order(data1[[i1]][, categ[[i1]]])]) # Modif to have length(color) equal to the different number of categ (length(color) == length(levels(data1[[i1]][, categ[[i1]]])))
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count, ") FROM FUNCTION ", function.name, ": ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), " HAS THE LENGTH OF ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), " COLUMN VALUES\nCOLORS HAVE BEEN RESPECTIVELY ASSOCIATED TO EACH CLASS OF categ AS:\n", paste(levels(factor(data1[[i1]][, categ[[i1]]])), collapse = " "), "\n", paste(color[[i1]], collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}else if(length(color[[i1]]) == 1){
-data1[[i1]][, categ[[i1]]] <- factor(data1[[i1]][, categ[[i1]]]) # if already a factor, change nothing, if characters, levels according to alphabetical order
-color[[i1]] <- rep(color[[i1]], length(levels(data1[[i1]][, categ[[i1]]])))
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") IN ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), ", COLOR HAS LENGTH 1 MEANING THAT ALL THE DIFFERENT CLASSES OF ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")), "\n", paste(levels(factor(data1[[i1]][, categ[[i1]]])), collapse = " "), "\nWILL HAVE THE SAME COLOR\n", paste(color[[i1]], collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}else{
-tempo.cat <- paste0("ERROR IN ", function.name, ": ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), " MUST BE\n(1) LENGTH 1\nOR (2) THE LENGTH OF ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), " COLUMN VALUES\nOR (3) THE LENGTH OF THE CLASSES IN THIS COLUMN\nHERE IT IS COLOR LENGTH ", length(color[[i1]]), " VERSUS CATEG LENGTH ", length(data1[[i1]][, categ[[i1]]]), " AND CATEG CLASS LENGTH ", length(unique(data1[[i1]][, categ[[i1]]])), "\nPRESENCE OF NA IN THE COLUMN x, y OR categ OF data1 COULD BE THE PROBLEME")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-}
-if((geom[[i1]] == "geom_hline" | geom[[i1]] == "geom_vline") & ! is.null(categ[[i1]])){ # add here after the color management, to deal with the different lines to plot inside any data[[i1]]
-if(categ[[i1]] == "fake_categ"){
-data1[[i1]][, "fake_categ"] <- factor(paste0("Line_", formatC(1:nrow(data1[[i2]]), width = nchar(nrow(data1[[i2]])), flag = "0")))
-}
-}
-tempo <- fun_check(data = alpha[[i1]], data.name = ifelse(length(alpha) == 1, "alpha", paste0("alpha NUMBER ", i1)), prop = TRUE, length = 1, fun.name = function.name)
-if(tempo$problem == TRUE){
-stop(paste0("\n\n================\n\n", tempo$text, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-# end loop (checking inside list compartment)
-if(length(data1) > 1){
-if(length(unique(unlist(x)[ ! x == "fake_x"])) > 1){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE x ARGUMENT DOES NOT CONTAIN IDENTICAL COLUMN NAMES:\n", paste(unlist(x), collapse = " "), "\nX-AXIS OVERLAYING DIFFERENT VARIABLES?")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-if(length(data1) > 1){
-if(length(unique(unlist(y)[ ! y == "fake_y"])) > 1){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE y ARGUMENT DOES NOT CONTAIN IDENTICAL COLUMN NAMES:\n", paste(unlist(y), collapse = " "), "\nY-AXIS OVERLAYING DIFFERENT VARIABLES?")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-if(sum(geom %in% "geom_point") > 3){
-tempo.cat <- paste0("ERROR IN ", function.name, ": geom ARGUMENT CANNOT HAVE MORE THAN THREE \"geom_point\" ELEMENTS")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(length(geom) - sum(geom %in% "geom_point") > 3){
-tempo.cat <- paste0("ERROR IN ", function.name, ": geom ARGUMENT CANNOT HAVE MORE THAN THREE LINE ELEMENTS")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-# x.lim management before transfo by x.log
-if(x.log != "no" & ! is.null(x.lim)){
-if(any(x.lim <= 0)){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nx.lim ARGUMENT CANNOT HAVE ZERO OR NEGATIVE VALUES WITH THE x.log ARGUMENT SET TO ", x.log, ":\n", paste(x.lim, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(any( ! is.finite(if(x.log == "log10"){log10(x.lim)}else{log2(x.lim)}))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nx.lim ARGUMENT RETURNS INF/NA WITH THE x.log ARGUMENT SET TO ", x.log, "\nAS SCALE COMPUTATION IS ", ifelse(x.log == "log10", "log10", "log2"), ":\n", paste(if(x.log == "log10"){log10(x.lim)}else{log2(x.lim)}, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-if(x.log != "no" & x.include.zero == TRUE){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") x.log ARGUMENT SET TO ", x.log, " AND x.include.zero ARGUMENT SET TO TRUE -> x.include.zero ARGUMENT RESET TO FALSE BECAUSE 0 VALUE CANNOT BE REPRESENTED IN LOG SCALE")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-x.include.zero <- FALSE
-}
-# end x.lim management before transfo by x.log
-# y.lim management before transfo by y.log
-if(y.log != "no" & ! is.null(y.lim)){
-if(any(y.lim <= 0)){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ny.lim ARGUMENT CANNOT HAVE ZERO OR NEGATIVE VALUES WITH THE y.log ARGUMENT SET TO ", y.log, ":\n", paste(y.lim, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(any( ! is.finite(if(y.log == "log10"){log10(y.lim)}else{log2(y.lim)}))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ny.lim ARGUMENT RETURNS INF/NA WITH THE y.log ARGUMENT SET TO ", y.log, "\nAS SCALE COMPUTATION IS ", ifelse(y.log == "log10", "log10", "log2"), ":\n", paste(if(y.log == "log10"){log10(y.lim)}else{log2(y.lim)}, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-if(y.log != "no" & y.include.zero == TRUE){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") y.log ARGUMENT SET TO ", y.log, " AND y.include.zero ARGUMENT SET TO TRUE -> y.include.zero ARGUMENT RESET TO FALSE BECAUSE 0 VALUE CANNOT BE REPRESENTED IN LOG SCALE")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-y.include.zero <- FALSE
-}
-# end y.lim management before transfo by y.log
-# end second round of checking and data preparation
-
-
-
-
-
-# package checking
-fun_pack(req.package = c("ggplot2", "gridExtra", "scales"), lib.path = lib.path)
-# packages Cairo and grid tested by fun_gg_point_rast()
-# end package checking
-
-
-
-
-# main code
-# axes management
-if(is.null(x.lim)){
-if(any(unlist(mapply(FUN = "[[", data1, x, SIMPLIFY = FALSE)) %in% c(Inf, -Inf))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE x COLUMN IN data1 CONTAINS -Inf OR Inf VALUES THAT WILL NOT BE CONSIDERED IN THE PLOT RANGE")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-x.lim <- suppressWarnings(range(unlist(mapply(FUN = "[[", data1, x, SIMPLIFY = FALSE)), na.rm = TRUE, finite = TRUE)) # finite = TRUE removes all the -Inf and Inf except if only this. In that case, whatever the -Inf and/or Inf present, output -Inf;Inf range. Idem with NA only. y.lim added here. If NULL, ok if y argument has values
-}else if(x.log != "no"){
-x.lim <- get(x.log)(x.lim) # no env = sys.nframe(), inherit = FALSE in get() because look for function in the classical scope
-}
-if(x.log != "no"){
-if(any( ! is.finite(x.lim))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nx.lim ARGUMENT CANNOT HAVE ZERO OR NEGATIVE VALUES WITH THE x.log ARGUMENT SET TO ", x.log, ":\n", paste(x.lim, collapse = " "), "\nPLEASE, CHECK DATA VALUES (PRESENCE OF ZERO OR INF VALUES)")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-if(suppressWarnings(all(x.lim %in% c(Inf, -Inf)))){ # happen when x is only NULL
-if(all(unlist(geom) %in% c("geom_vline", "geom_stick"))){
-tempo.cat <- paste0("ERROR IN ", function.name, " NOT POSSIBLE TO DRAW geom_vline OR geom_stick KIND OF LINES ALONE IF x.lim ARGUMENT IS SET TO NULL, SINCE NO X-AXIS DEFINED (", ifelse(length(x) == 1, "x", paste0("ELEMENT ", i1, " OF x")), " ARGUMENT MUST BE NULL FOR THESE KIND OF LINES)")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-tempo.cat <- paste0("ERROR IN ", function.name, " x.lim ARGUMENT MADE OF NA, -Inf OR Inf ONLY: ", paste(x.lim, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-x.lim.order <- order(x.lim) # to deal with inverse axis
-# print(x.lim.order)
-x.lim <- sort(x.lim)
-x.lim[1] <- x.lim[1] - abs(x.lim[2] - x.lim[1]) * ifelse(diff(x.lim.order) > 0, x.right.extra.margin, x.left.extra.margin) # diff(x.lim.order) > 0 means not inversed axis
-x.lim[2] <- x.lim[2] + abs(x.lim[2] - x.lim[1]) * ifelse(diff(x.lim.order) > 0, x.left.extra.margin, x.right.extra.margin) # diff(x.lim.order) > 0 means not inversed axis
-if(x.include.zero == TRUE){ # no need to check x.log != "no" because done before
-x.lim <- range(c(x.lim, 0), na.rm = TRUE, finite = TRUE) # finite = TRUE removes all the -Inf and Inf except if only this. In that case, whatever the -Inf and/or Inf present, output -Inf;Inf range. Idem with NA only
-}
-x.lim <- x.lim[x.lim.order]
-if(any(is.na(x.lim))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": CODE INCONSISTENCY 3")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-if(is.null(y.lim)){
-if(any(unlist(mapply(FUN = "[[", data1, y, SIMPLIFY = FALSE)) %in% c(Inf, -Inf))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE y COLUMN IN data1 CONTAINS -Inf OR Inf VALUES THAT WILL NOT BE CONSIDERED IN THE PLOT RANGE")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-y.lim <- suppressWarnings(range(unlist(mapply(FUN = "[[", data1, y, SIMPLIFY = FALSE)), na.rm = TRUE, finite = TRUE)) # finite = TRUE removes all the -Inf and Inf except if only this. In that case, whatever the -Inf and/or Inf present, output -Inf;Inf range. Idem with NA only. y.lim added here. If NULL, ok if y argument has values
-}else if(y.log != "no"){
-y.lim <- get(y.log)(y.lim) # no env = sys.nframe(), inherit = FALSE in get() because look for function in the classical scope
-}
-if(y.log != "no"){
-if(any( ! is.finite(y.lim))){
-tempo.cat <- paste0("ERROR IN ", function.name, "\ny.lim ARGUMENT CANNOT HAVE ZERO OR NEGATIVE VALUES WITH THE y.log ARGUMENT SET TO ", y.log, ":\n", paste(y.lim, collapse = " "), "\nPLEASE, CHECK DATA VALUES (PRESENCE OF ZERO OR INF VALUES)")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-if(suppressWarnings(all(y.lim %in% c(Inf, -Inf)))){ # happen when y is only NULL
-if(all(unlist(geom) == "geom_vline")){
-tempo.cat <- paste0("ERROR IN ", function.name, " NOT POSSIBLE TO DRAW geom_vline KIND OF LINES ALONE IF y.lim ARGUMENT IS SET TO NULL, SINCE NO Y-AXIS DEFINED (", ifelse(length(y) == 1, "y", paste0("ELEMENT ", i1, " OF y")), " ARGUMENT MUST BE NULL FOR THESE KIND OF LINES)")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-tempo.cat <- paste0("ERROR IN ", function.name, " y.lim ARGUMENT MADE OF NA, -Inf OR Inf ONLY: ", paste(y.lim, collapse = " "))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-y.lim.order <- order(y.lim) # to deal with inverse axis
-y.lim <- sort(y.lim)
-y.lim[1] <- y.lim[1] - abs(y.lim[2] - y.lim[1]) * ifelse(diff(y.lim.order) > 0, y.bottom.extra.margin, y.top.extra.margin) # diff(y.lim.order) > 0 means not inversed axis
-y.lim[2] <- y.lim[2] + abs(y.lim[2] - y.lim[1]) * ifelse(diff(y.lim.order) > 0, y.top.extra.margin, y.bottom.extra.margin) # diff(y.lim.order) > 0 means not inversed axis
-if(y.include.zero == TRUE){ # no need to check y.log != "no" because done before
-y.lim <- range(c(y.lim, 0), na.rm = TRUE, finite = TRUE) # finite = TRUE removes all the -Inf and Inf except if only this. In that case, whatever the -Inf and/or Inf present, output -Inf;Inf range. Idem with NA only
-}
-y.lim <- y.lim[y.lim.order]
-if(any(is.na(y.lim))){
-tempo.cat <- paste0("ERROR IN ", function.name, ": CODE INCONSISTENCY 4")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-# end axes management
-
-
-
-
-# create a fake categ if NULL to deal with legend display
-if(is.null(categ)){
-categ <- vector("list", length(data1))
-categ[] <- "fake_categ"
-for(i2 in 1:length(data1)){
-data1[[i2]] <- cbind(data1[[i2]], fake_categ = "", stringsAsFactors = TRUE)
-if(geom[[i2]] == "geom_hline" | geom[[i2]] == "geom_vline"){
-data1[[i2]][, "fake_categ"] <- factor(paste0("Line_", 1:nrow(data1[[i2]])))
-}
-}
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NULL categ ARGUMENT -> FAKE \"fake_categ\" COLUMN ADDED TO EACH DATA FRAME OF data1, AND FILLED WITH \"\"")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# categ is not NULL anymore
-if(is.null(categ.class.order)){
-categ.class.order <- vector("list", length = length(data1))
-tempo.categ.class.order <- NULL
-for(i2 in 1:length(categ.class.order)){
-categ.class.order[[i2]] <- levels(data1[[i2]][, categ[[i2]]])
-names(categ.class.order)[i2] <- categ[[i2]]
-tempo.categ.class.order <- c(tempo.categ.class.order, ifelse(i2 != 1, "\n", ""), categ.class.order[[i2]])
-}
-if(any(unlist(legend.disp))){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") THE categ.class.order SETTING IS NULL. ALPHABETICAL ORDER WILL BE APPLIED FOR CLASS ORDERING:\n", paste(tempo.categ.class.order, collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# end create a fake categ if NULL to deal with legend display
-# categ.class.order is not NULL anymore
-
-
-# vector of color with length as in levels(categ) of data1
-if(is.null(color)){
-color <- vector("list", length(data1))
-length.categ.list <- lapply(lapply(mapply(FUN = "[[", data1, categ, SIMPLIFY = FALSE), FUN = unique), FUN = function(x){length(x[ ! is.na(x)])})
-length.categ.list[sapply(categ, FUN = "==", "fake_categ")] <- 1 # when is.null(color), a single color for all the dots or lines of data[[i1]] that contain "fake_categ" category
-total.categ.length <- sum(unlist(length.categ.list), na.rm = TRUE)
-tempo.color <- fun_gg_palette(total.categ.length)
-tempo.count <- 0
-for(i2 in 1:length(data1)){
-color[[i2]] <- tempo.color[(1:length.categ.list[[i2]]) + tempo.count]
-tempo.count <- tempo.count + length.categ.list[[i2]]
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") NULL color ARGUMENT -> COLORS RESPECTIVELY ATTRIBUTED TO EACH CLASS OF ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i2, " OF categ ARGUMENT")), " (", categ[[i2]], ") IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i2, " OF data1 ARGUMENT")), ":\n", paste(color[[i2]], collapse = " "), "\n", paste(if(all(levels(data1[[i2]][, categ[[i2]]]) == "")){'\"\"'}else{levels(data1[[i2]][, categ[[i2]]])}, collapse = " "))
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# end vector of color with length as in levels(categ) of data1
-# color is not NULL anymore
-
-
-
-
-
-# last check
-for(i1 in 1:length(data1)){
-if(categ[[i1]] != "fake_categ" & length(color[[i1]]) != length(unique(data1[[i1]][, categ[[i1]]]))){
-tempo.cat <- paste0("ERROR IN ", function.name, " LAST CHECK: ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), " MUST HAVE THE LENGTH OF LEVELS OF ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), "\nHERE IT IS COLOR LENGTH ", length(color[[i1]]), " VERSUS CATEG LEVELS LENGTH ", length(unique(data1[[i1]][, categ[[i1]]])))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else if(categ[[i1]] == "fake_categ" & length(color[[i1]]) != 1){
-tempo.cat <- paste0("ERROR IN ", function.name, " LAST CHECK: ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), " MUST HAVE LENGTH 1 WHEN ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")), " IS NULL\nHERE IT IS COLOR LENGTH ", length(color[[i1]]))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-# end last check
-
-
-
-
-
-# conversion of geom_hline and geom_vline
-for(i1 in 1:length(data1)){
-if(geom[[i1]] == "geom_hline" | geom[[i1]] == "geom_vline"){
-final.data.frame <- data.frame()
-for(i3 in 1:nrow(data1[[i1]])){
-tempo.data.frame <- rbind(data1[[i1]][i3, ], data1[[i1]][i3, ], stringsAsFactors = TRUE)
-if(geom[[i1]] == "geom_hline"){
-tempo.data.frame[, x[[i1]]] <- x.lim
-}else if(geom[[i1]] == "geom_vline"){
-tempo.data.frame[, y[[i1]]] <- y.lim
-}else{
-tempo.cat <- paste0("ERROR IN ", function.name, ": CODE INCONSISTENCY 5")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-# 3 lines below inactivated because I put that above
-# if(is.null(categ[[i1]])){
-# data1[, "fake_categ"] <- paste0("Line_", i3)
-# }
-final.data.frame <- rbind(final.data.frame, tempo.data.frame, stringsAsFactors = TRUE)
-}
-data1[[i1]] <- final.data.frame
-geom[[i1]] <- "geom_line"
-if(length(color[[i1]]) == 1){
-color[[i1]] <- rep(color[[i1]], length(unique(data1[[i1]][ , categ[[i1]]])))
-}else if(length(color[[i1]]) != length(unique(data1[[i1]][ , categ[[i1]]]))){
-tempo.cat <- paste0("ERROR IN ", function.name, " geom_hline AND geom_vline CONVERSION TO FIT THE XLIM AND YLIM LIMITS OF THE DATA: ", ifelse(length(color) == 1, "color", paste0("ELEMENT NUMBER ", i1, " OF color ARGUMENT")), " MUST HAVE THE LENGTH OF LEVELS OF ", ifelse(length(categ) == 1, "categ", paste0("ELEMENT ", i1, " OF categ ARGUMENT")), " IN ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i1, " OF data1 ARGUMENT")), "\nHERE IT IS COLOR LENGTH ", length(color[[i1]]), " VERSUS CATEG LEVELS LENGTH ", length(unique(data1[[i1]][, categ[[i1]]])))
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-}
-}
-# end conversion of geom_hline and geom_vline
-
-
-
-
-# kind of geom_point (vectorial or raster)
-scatter.kind <- vector("list", length = length(data1)) # list of same length as data1, that will be used to use either ggplot2::geom_point() (vectorial dot layer) or fun_gg_point_rast() (raster dot layer)
-fix.ratio <- FALSE
-if(is.null(raster.threshold)){
-if(raster == TRUE){
-scatter.kind[] <- "fun_gg_point_rast" # not important to fill everything: will be only used when geom == "geom_point"
-fix.ratio <- TRUE
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") RASTER PLOT GENERATED -> ASPECT RATIO OF THE PLOT REGION SET BY THE raster.ratio ARGUMENT (", fun_round(raster.ratio, 2), ") TO AVOID A BUG OF ELLIPSOID DOT DRAWING")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}else{
-scatter.kind[] <- "ggplot2::geom_point"
-}
-}else{
-for(i2 in 1:length(data1)){
-if(geom[[i2]] == "geom_point"){
-if(nrow(data1[[i2]]) <= raster.threshold){
-scatter.kind[[i2]] <- "ggplot2::geom_point"
-}else{
-scatter.kind[[i2]] <- "fun_gg_point_rast"
-fix.ratio <- TRUE
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") ", ifelse(length(data1) == 1, "data1 ARGUMENT", paste0("DATA FRAME NUMBER ", i2, " OF data1 ARGUMENT")), " LAYER AS RASTER (NOT VECTORIAL)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-}
-if(any(unlist(scatter.kind) == "fun_gg_point_rast")){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") RASTER PLOT GENERATED -> ASPECT RATIO OF THE PLOT REGION SET BY THE raster.ratio ARGUMENT (", fun_round(raster.ratio, 2), ") TO AVOID A BUG OF ELLIPSOID DOT DRAWING")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-# end kind of geom_point (vectorial or raster)
-
-
-
-
-# no need loop part
-coord.names <- NULL
-tempo.gg.name <- "gg.indiv.plot."
-tempo.gg.count <- 0
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), eval(parse(text = paste0("ggplot2::ggplot()", if(is.null(add)){""}else{add})))) # add added here to have the facets
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::xlab(if(is.null(x.lab)){x[[1]]}else{x.lab}))
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::ylab(if(is.null(y.lab)){y[[1]]}else{y.lab}))
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::ggtitle(title))
-# text angle management
-x.tempo.just <- fun_gg_just(angle = x.text.angle, pos = "bottom", kind = "axis")
-y.tempo.just <- fun_gg_just(angle = y.text.angle, pos = "left", kind = "axis")
-# end text angle management
-add.check <- TRUE
-if( ! is.null(add)){ # if add is NULL, then = 0
-if(grepl(pattern = "ggplot2::theme", add) == TRUE){
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") \"ggplot2::theme\" STRING DETECTED IN THE add ARGUMENT\n-> INTERNAL GGPLOT2 THEME FUNCTIONS theme() AND theme_classic() HAVE BEEN INACTIVATED, TO BE USED BY THE USER\n-> article ARGUMENT WILL BE IGNORED\nIT IS RECOMMENDED TO USE \"+ theme(aspect.ratio = raster.ratio)\" IF RASTER MODE IS ACTIVATED")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-add.check <- FALSE
-}
-}
-if(add.check == TRUE & article == TRUE){
-# WARNING: not possible to add several times theme(). NO message but the last one overwrites the others
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::theme_classic(base_size = text.size))
-if(grid == TRUE){
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), m.gg <- ggplot2::theme(
-text = ggplot2::element_text(size = text.size),
-plot.title = ggplot2::element_text(size = title.text.size), # stronger than text
-legend.key = ggplot2::element_rect(color = "white", size = 1.5), # size of the frame of the legend
-line = ggplot2::element_line(size = 0.5),
-axis.line.y.left = ggplot2::element_line(colour = "black"), # draw lines for the y axis
-axis.line.x.bottom = ggplot2::element_line(colour = "black"), # draw lines for the x axis
-panel.grid.major.x = ggplot2::element_line(colour = "grey85", size = 0.75),
-panel.grid.minor.x = ggplot2::element_line(colour = "grey90", size = 0.25),
-panel.grid.major.y = ggplot2::element_line(colour = "grey85", size = 0.75),
-panel.grid.minor.y = ggplot2::element_line(colour = "grey90", size = 0.25),
-axis.text.x = ggplot2::element_text(angle = x.tempo.just$angle, hjust = x.tempo.just$hjust, vjust = x.tempo.just$vjust),
-axis.text.y = ggplot2::element_text(angle = y.tempo.just$angle, hjust = y.tempo.just$hjust, vjust = y.tempo.just$vjust),
-aspect.ratio = if(fix.ratio == TRUE){raster.ratio}else{NULL} # for raster
-))
-}else{
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), m.gg <- ggplot2::theme(
-text = ggplot2::element_text(size = text.size),
-plot.title = ggplot2::element_text(size = title.text.size), # stronger than text
-line = ggplot2::element_line(size = 0.5),
-legend.key = ggplot2::element_rect(color = "white", size = 1.5), # size of the frame of the legend
-axis.line.y.left = ggplot2::element_line(colour = "black"),
-axis.line.x.bottom = ggplot2::element_line(colour = "black"),
-axis.text.x = ggplot2::element_text(angle = x.tempo.just$angle, hjust = x.tempo.just$hjust, vjust = x.tempo.just$vjust),
-axis.text.y = ggplot2::element_text(angle = y.tempo.just$angle, hjust = y.tempo.just$hjust, vjust = y.tempo.just$vjust),
-aspect.ratio = if(fix.ratio == TRUE){raster.ratio}else{NULL} # for raster
-))
-}
-}else if(add.check == TRUE & article == FALSE){
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), m.gg <- ggplot2::theme(
-text = ggplot2::element_text(size = text.size),
-plot.title = ggplot2::element_text(size = title.text.size), # stronger than text
-line = ggplot2::element_line(size = 0.5),
-legend.key = ggplot2::element_rect(color = "white", size = 1.5), # size of the frame of the legend
-panel.background = ggplot2::element_rect(fill = "grey95"),
-axis.line.y.left = ggplot2::element_line(colour = "black"),
-axis.line.x.bottom = ggplot2::element_line(colour = "black"),
-panel.grid.major.x = ggplot2::element_line(colour = "grey85", size = 0.75),
-panel.grid.minor.x = ggplot2::element_line(colour = "grey90", size = 0.25),
-panel.grid.major.y = ggplot2::element_line(colour = "grey85", size = 0.75),
-panel.grid.minor.y = ggplot2::element_line(colour = "grey90", size = 0.25),
-strip.background = ggplot2::element_rect(fill = "white", colour = "black"),
-axis.text.x = ggplot2::element_text(angle = x.tempo.just$angle, hjust = x.tempo.just$hjust, vjust = x.tempo.just$vjust),
-axis.text.y = ggplot2::element_text(angle = y.tempo.just$angle, hjust = y.tempo.just$hjust, vjust = y.tempo.just$vjust),
-aspect.ratio = if(fix.ratio == TRUE){raster.ratio}else{NULL} # for raster
-# do not work -> legend.position = "none" # to remove the legend completely: https://www.datanovia.com/en/blog/how-to-remove-legend-from-a-ggplot/
-))
-}
-# end no need loop part
-
-
-# loop part
-point.count <- 0
-line.count <- 0
-lg.order <- vector(mode = "list", length = 6) # order of the legend
-lg.order <- lapply(lg.order, as.numeric) # order of the legend
-lg.color <- vector(mode = "list", length = 6) # color of the legend
-lg.dot.shape <- vector(mode = "list", length = 6) # etc.
-lg.dot.size <- vector(mode = "list", length = 6) # etc.
-lg.dot.size <- lapply(lg.dot.size, as.numeric) # etc.
-lg.dot.border.size <- vector(mode = "list", length = 6) # etc.
-lg.dot.border.size <- lapply(lg.dot.border.size, as.numeric) # etc.
-lg.dot.border.color <- vector(mode = "list", length = 6) # etc.
-lg.line.size <- vector(mode = "list", length = 6) # etc.
-lg.line.size <- lapply(lg.line.size, as.numeric) # etc.
-lg.line.type <- vector(mode = "list", length = 6) # etc.
-lg.alpha <- vector(mode = "list", length = 6) # etc.
-lg.alpha <- lapply(lg.alpha, as.numeric) # etc.
-for(i1 in 1:length(data1)){
-if(geom[[i1]] == "geom_point"){
-point.count <- point.count + 1
-if(point.count == 1){
-fin.lg.disp[[1]] <- legend.disp[[point.count + line.count]]
-lg.order[[1]] <- point.count + line.count
-lg.color[[1]] <- color[[i1]]
-lg.dot.shape[[1]] <- dot.shape[[i1]]
-lg.dot.size[[1]] <- dot.size[[i1]]
-lg.dot.border.size[[1]] <- dot.border.size[[i1]]
-lg.dot.border.color[[1]] <- dot.border.color[[i1]]
-lg.alpha[[1]] <- alpha[[i1]]
-class.categ <- levels(factor(data1[[i1]][, categ[[i1]]]))
-if(plot == TRUE & fin.lg.disp[[1]] == TRUE & dot.shape[[1]] %in% 0:14 & ((length(dev.list()) > 0 & names(dev.cur()) == "windows") | (length(dev.list()) == 0 & Sys.info()["sysname"] == "Windows"))){ # if any Graph device already open and this device is "windows", or if no Graph device opened yet and we are on windows system -> prevention of alpha legend bug on windows using value 1
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") GRAPHIC DEVICE USED ON A WINDOWS SYSTEM ->\nTRANSPARENCY OF THE DOTS (DOT LAYER NUMBER ", point.count, ") IS INACTIVATED IN THE LEGEND TO PREVENT A WINDOWS DEPENDENT BUG (SEE https://github.com/tidyverse/ggplot2/issues/2452)\nTO OVERCOME THIS ON WINDOWS, USE ANOTHER DEVICE (pdf() FOR INSTANCE)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-lg.alpha[[1]] <- 1 # to avoid a bug on windows: if alpha argument is different from 1 for lines (transparency), then lines are not correctly displayed in the legend when using the R GUI (bug https://github.com/tidyverse/ggplot2/issues/2452). No bug when using a pdf
-}else{
-lg.alpha[[1]] <- alpha[[i1]]
-}
-for(i5 in 1:length(color[[i1]])){ # or length(class.categ). It is the same because already checked that lengths are the same
-tempo.data.frame <- data1[[i1]][data1[[i1]][, categ[[i1]]] == class.categ[i5], ]
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), eval(parse(text = scatter.kind[[i1]]))(data = tempo.data.frame, mapping = ggplot2::aes_string(x = x[[i1]], y = y[[i1]], fill = categ[[i1]]), shape = dot.shape[[i1]], size = dot.size[[i1]], stroke = dot.border.size[[i1]], color = if(is.null(dot.border.color)){color[[i1]][i5]}else{dot.border.color[[i1]]}, alpha = alpha[[i1]], show.legend = if(i5 == 1){TRUE}else{FALSE})) # WARNING: a single color allowed for color argument outside aesthetic, but here a single color for border --> loop could be inactivated but kept for commodity # legend.show option do not remove the legend, only the aesthetic of the legend (dot, line, etc.). Used here to avoid multiple layers of legend which corrupt transparency
-coord.names <- c(coord.names, paste0(geom[[i1]], ".", class.categ[i5]))
-}
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_fill_manual(name = if(is.null(legend.name)){NULL}else{legend.name[[i1]]}, values = as.character(color[[i1]]), breaks = class.categ)) # values are the values of fill, breaks reorder the classes according to class.categ in the legend, order argument of guide_legend determines the order of the different aesthetics in the legend (not order of classes). See guide_legend settings of scale_..._manual below
-}
-if(point.count == 2){
-fin.lg.disp[[2]] <- legend.disp[[point.count + line.count]]
-lg.order[[2]] <- point.count + line.count
-lg.color[[2]] <- color[[i1]]
-lg.dot.shape[[2]] <- dot.shape[[i1]]
-lg.dot.size[[2]] <- dot.size[[i1]]
-lg.dot.border.size[[2]] <- dot.border.size[[i1]]
-lg.dot.border.color[[2]] <- dot.border.color[[i1]]
-lg.alpha[[2]] <- alpha[[i1]]
-class.categ <- levels(factor(data1[[i1]][, categ[[i1]]]))
-if(plot == TRUE & fin.lg.disp[[2]] == TRUE & dot.shape[[2]] %in% 0:14 & ((length(dev.list()) > 0 & names(dev.cur()) == "windows") | (length(dev.list()) == 0 & Sys.info()["sysname"] == "Windows"))){ # if any Graph device already open and this device is "windows", or if no Graph device opened yet and we are on windows system -> prevention of alpha legend bug on windows using value 1
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") GRAPHIC DEVICE USED ON A WINDOWS SYSTEM ->\nTRANSPARENCY OF THE DOTS (DOT LAYER NUMBER ", point.count, ") IS INACTIVATED IN THE LEGEND TO PREVENT A WINDOWS DEPENDENT BUG (SEE https://github.com/tidyverse/ggplot2/issues/2452)\nTO OVERCOME THIS ON WINDOWS, USE ANOTHER DEVICE (pdf() FOR INSTANCE)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-lg.alpha[[2]] <- 1 # to avoid a bug on windows: if alpha argument is different from 1 for lines (transparency), then lines are not correctly displayed in the legend when using the R GUI (bug https://github.com/tidyverse/ggplot2/issues/2452). No bug when using a pdf
-}else{
-lg.alpha[[2]] <- alpha[[i1]]
-}
-for(i5 in 1:length(color[[i1]])){ # or length(class.categ). It is the same because already checked that lengths are the same
-tempo.data.frame <- data1[[i1]][data1[[i1]][, categ[[i1]]] == class.categ[i5], ]
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), eval(parse(text = scatter.kind[[i1]]))(data = tempo.data.frame, mapping = ggplot2::aes_string(x = x[[i1]], y = y[[i1]], shape = categ[[i1]]), size = dot.size[[i1]], stroke = dot.border.size[[i1]], fill = color[[i1]][i5], color = if(is.null(dot.border.color)){color[[i1]][i5]}else{dot.border.color[[i1]]}, alpha = alpha[[i1]], show.legend = FALSE)) # WARNING: a single color allowed for fill argument outside aesthetic, hence the loop # legend.show option do not remove the legend, only the aesthetic of the legend (dot, line, etc.). Used here to avoid multiple layers of legend which corrupt transparency
-coord.names <- c(coord.names, paste0(geom[[i1]], ".", class.categ[i5]))
-}
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_shape_manual(name = if(is.null(legend.name)){NULL}else{legend.name[[i1]]}, values = rep(dot.shape[[i1]], length(color[[i1]])), breaks = class.categ)) # values are the values of shape, breaks reorder the classes according to class.categ in the legend. See guide_legend settings of scale_..._manual below
-
-}
-if(point.count == 3){
-fin.lg.disp[[3]] <- legend.disp[[point.count + line.count]]
-lg.order[[3]] <- point.count + line.count
-lg.color[[3]] <- color[[i1]]
-lg.dot.shape[[3]] <- dot.shape[[i1]]
-lg.dot.size[[3]] <- dot.size[[i1]]
-lg.dot.border.size[[3]] <- dot.border.size[[i1]]
-lg.dot.border.color[[3]] <- dot.border.color[[i1]]
-lg.alpha[[3]] <- alpha[[i1]]
-class.categ <- levels(factor(data1[[i1]][, categ[[i1]]]))
-if(plot == TRUE & fin.lg.disp[[3]] == TRUE & dot.shape[[3]] %in% 0:14 & ((length(dev.list()) > 0 & names(dev.cur()) == "windows") | (length(dev.list()) == 0 & Sys.info()["sysname"] == "Windows"))){ # if any Graph device already open and this device is "windows", or if no Graph device opened yet and we are on windows system -> prevention of alpha legend bug on windows using value 1
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") GRAPHIC DEVICE USED ON A WINDOWS SYSTEM ->\nTRANSPARENCY OF THE DOTS (DOT LAYER NUMBER ", point.count, ") IS INACTIVATED IN THE LEGEND TO PREVENT A WINDOWS DEPENDENT BUG (SEE https://github.com/tidyverse/ggplot2/issues/2452)\nTO OVERCOME THIS ON WINDOWS, USE ANOTHER DEVICE (pdf() FOR INSTANCE)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-lg.alpha[[3]] <- 1 # to avoid a bug on windows: if alpha argument is different from 1 for lines (transparency), then lines are not correctly displayed in the legend when using the R GUI (bug https://github.com/tidyverse/ggplot2/issues/2452). No bug when using a pdf
-}else{
-lg.alpha[[3]] <- alpha[[i1]]
-}
-for(i5 in 1:length(color[[i1]])){ # or length(class.categ). It is the same because already checked that lengths are the same
-tempo.data.frame <- data1[[i1]][data1[[i1]][, categ[[i1]]] == class.categ[i5], ]
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), eval(parse(text = scatter.kind[[i1]]))(data = tempo.data.frame, mapping = ggplot2::aes_string(x = x[[i1]], y = y[[i1]], stroke = categ[[i1]]), shape = dot.shape[[i1]], size = dot.size[[i1]], fill = color[[i1]][i5], stroke = dot.border.size[[i1]], color = if(is.null(dot.border.color)){color[[i1]][i5]}else{dot.border.color[[i1]]}, alpha = alpha[[i1]], show.legend = FALSE)) # WARNING: a single color allowed for color argument outside aesthetic, hence the loop # legend.show option do not remove the legend, only the aesthetic of the legend (dot, line, etc.). Used here to avoid multiple layers of legend which corrupt transparency
-coord.names <- c(coord.names, paste0(geom[[i1]], ".", class.categ[i5]))
-}
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "stroke", name = if(is.null(legend.name)){NULL}else{legend.name[[i1]]}, values = rep(dot.border.size[[i1]], length(color[[i1]])), breaks = class.categ)) # values are the values of stroke, breaks reorder the classes according to class.categ in the legend. See guide_legend settings of scale_..._manual below
-
-}
-}else{
-line.count <- line.count + 1
-if(line.count == 1){
-fin.lg.disp[[4]] <- legend.disp[[point.count + line.count]]
-lg.order[[4]] <- point.count + line.count
-lg.color[[4]] <- color[[i1]]
-lg.line.size[[4]] <- line.size[[i1]]
-lg.line.type[[4]] <- line.type[[i1]]
-lg.alpha[[4]] <- alpha[[i1]]
-if(plot == TRUE & fin.lg.disp[[4]] == TRUE & ((length(dev.list()) > 0 & names(dev.cur()) == "windows") | (length(dev.list()) == 0 & Sys.info()["sysname"] == "Windows"))){ # if any Graph device already open and this device is "windows", or if no Graph device opened yet and we are on windows system -> prevention of alpha legend bug on windows using value 1
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") GRAPHIC DEVICE USED ON A WINDOWS SYSTEM ->\nTRANSPARENCY OF THE LINES (LINE LAYER NUMBER ", line.count, ") IS INACTIVATED IN THE LEGEND TO PREVENT A WINDOWS DEPENDENT BUG (SEE https://github.com/tidyverse/ggplot2/issues/2452)\nTO OVERCOME THIS ON WINDOWS, USE ANOTHER DEVICE (pdf() FOR INSTANCE)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-lg.alpha[[4]] <- 1 # to avoid a bug on windows: if alpha argument is different from 1 for lines (transparency), then lines are not correctly displayed in the legend when using the R GUI (bug https://github.com/tidyverse/ggplot2/issues/2452). No bug when using a pdf
-}else{
-lg.alpha[[4]] <- alpha[[i1]]
-}
-class.categ <- levels(factor(data1[[i1]][, categ[[i1]]]))
-for(i5 in 1:length(color[[i1]])){ # or length(class.categ). It is the same because already checked that lengths are the same
-tempo.data.frame <- data1[[i1]][data1[[i1]][, categ[[i1]]] == class.categ[i5], ]
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), eval(parse(text = paste0(
-"ggplot2::",
-ifelse(geom[[i1]] == 'geom_stick', 'geom_segment', geom[[i1]]), # geom_segment because geom_stick converted to geom_segment for plotting
-"(data = tempo.data.frame, mapping = ggplot2::aes(x = ",
-x[[i1]],
-ifelse(geom[[i1]] == 'geom_stick', ", yend = ", ", y = "),
-y[[i1]],
-if(geom[[i1]] == 'geom_stick'){paste0(', xend = ', x[[i1]], ', y = ', y.lim[1])},
-", linetype = ",
-categ[[i1]],
-"), color = \"",
-color[[i1]][i5],
-"\", size = ",
-line.size[[i1]],
-ifelse(geom[[i1]] == 'geom_path', ', lineend = \"round\"', ''),
-ifelse(geom[[i1]] == 'geom_step', paste0(', direction = \"', geom.step.dir[[i1]], '\"'), ''),
-", alpha = ",
-alpha[[i1]],
-", show.legend = FALSE)"
-)))) # WARNING: a single color allowed for color argument outside aesthetic, hence the loop # legend.show option do not remove the legend, only the aesthetic of the legend (dot, line, etc.). Used here to avoid multiple layers of legend which corrupt transparency
-coord.names <- c(coord.names, paste0(geom[[i1]], ".", class.categ[i5]))
-}
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "linetype", name = if(is.null(legend.name)){NULL}else{legend.name[[i1]]}, values = rep(line.type[[i1]], length(color[[i1]])), breaks = class.categ)) # values are the values of linetype. 1 means solid. Regarding the alpha bug, I have tried different things without success: alpha in guide alone, in geom alone, in both, with different values, breaks reorder the classes according to class.categ in the legend
-}
-if(line.count == 2){
-fin.lg.disp[[5]] <- legend.disp[[point.count + line.count]]
-lg.order[[5]] <- point.count + line.count
-lg.color[[5]] <- color[[i1]]
-lg.line.size[[5]] <- line.size[[i1]]
-lg.line.type[[5]] <- line.type[[i1]]
-lg.alpha[[5]] <- alpha[[i1]]
-if(plot == TRUE & fin.lg.disp[[5]] == TRUE & ((length(dev.list()) > 0 & names(dev.cur()) == "windows") | (length(dev.list()) == 0 & Sys.info()["sysname"] == "Windows"))){ # if any Graph device already open and this device is "windows", or if no Graph device opened yet and we are on windows system -> prevention of alpha legend bug on windows using value 1
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") GRAPHIC DEVICE USED ON A WINDOWS SYSTEM ->\nTRANSPARENCY OF THE LINES (LINE LAYER NUMBER ", line.count, ") IS INACTIVATED IN THE LEGEND TO PREVENT A WINDOWS DEPENDENT BUG (SEE https://github.com/tidyverse/ggplot2/issues/2452)\nTO OVERCOME THIS ON WINDOWS, USE ANOTHER DEVICE (pdf() FOR INSTANCE)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-lg.alpha[[5]] <- 1 # to avoid a bug on windows: if alpha argument is different from 1 for lines (transparency), then lines are not correctly displayed in the legend when using the R GUI (bug https://github.com/tidyverse/ggplot2/issues/2452). No bug when using a pdf
-}else{
-lg.alpha[[5]] <- alpha[[i1]]
-}
-class.categ <- levels(factor(data1[[i1]][, categ[[i1]]]))
-for(i5 in 1:length(color[[i1]])){ # or length(class.categ). It is the same because already checked that lengths are the same
-tempo.data.frame <- data1[[i1]][data1[[i1]][, categ[[i1]]] == class.categ[i5], ]
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), eval(parse(text = paste0(
-"ggplot2::",
-ifelse(geom[[i1]] == 'geom_stick', 'geom_segment', geom[[i1]]), # geom_segment because geom_stick converted to geom_segment for plotting
-"(data = tempo.data.frame, mapping = ggplot2::aes(x = ",
-x[[i1]],
-ifelse(geom[[i1]] == 'geom_stick', ", yend = ", ", y = "),
-y[[i1]],
-if(geom[[i1]] == 'geom_stick'){paste0(', xend = ', x[[i1]], ', y = ', y.lim[1])},
-", alpha = ",
-categ[[i1]],
-"), color = \"",
-color[[i1]][i5],
-"\", size = ",
-line.size[[i1]],
-", linetype = ",
-ifelse(is.numeric(line.type[[i1]]), "", "\""),
-line.type[[i1]],
-ifelse(is.numeric(line.type[[i1]]), "", "\""),
-ifelse(geom[[i1]] == 'geom_path', ', lineend = \"round\"', ''),
-ifelse(geom[[i1]] == 'geom_step', paste0(', direction = \"', geom.step.dir[[i1]], '\"'), ''),
-", show.legend = ",
-ifelse(i5 == 1, TRUE, FALSE),
-")"
-)))) # WARNING: a single color allowed for color argument outside aesthetic, hence the loop # legend.show option do not remove the legend, only the aesthetic of the legend (dot, line, etc.). Used here to avoid multiple layers of legend which corrupt transparency
-coord.names <- c(coord.names, paste0(geom[[i1]], ".", class.categ[i5]))
-}
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "alpha", name = if(is.null(legend.name)){NULL}else{legend.name[[i1]]}, values = rep(alpha[[i1]], length(color[[i1]])), breaks = class.categ)) # values are the values of linetype. 1 means solid. Regarding the alpha bug, I have tried different things without success: alpha in guide alone, in geom alone, in both, with different values, breaks reorder the classes according to class.categ in the legend
-}
-if(line.count == 3){
-fin.lg.disp[[6]] <- legend.disp[[point.count + line.count]]
-lg.order[[6]] <- point.count + line.count
-lg.color[[6]] <- color[[i1]]
-lg.line.size[[6]] <- line.size[[i1]]
-lg.line.type[[6]] <- line.type[[i1]]
-lg.alpha[[6]] <- alpha[[i1]]
-if(plot == TRUE & fin.lg.disp[[6]] == TRUE & ((length(dev.list()) > 0 & names(dev.cur()) == "windows") | (length(dev.list()) == 0 & Sys.info()["sysname"] == "Windows"))){ # if any Graph device already open and this device is "windows", or if no Graph device opened yet and we are on windows system -> prevention of alpha legend bug on windows using value 1
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") GRAPHIC DEVICE USED ON A WINDOWS SYSTEM ->\nTRANSPARENCY OF THE LINES (LINE LAYER NUMBER ", line.count, ") IS INACTIVATED IN THE LEGEND TO PREVENT A WINDOWS DEPENDENT BUG (SEE https://github.com/tidyverse/ggplot2/issues/2452)\nTO OVERCOME THIS ON WINDOWS, USE ANOTHER DEVICE (pdf() FOR INSTANCE)")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-lg.alpha[[6]] <- 1 # to avoid a bug on windows: if alpha argument is different from 1 for lines (transparency), then lines are not correctly displayed in the legend when using the R GUI (bug https://github.com/tidyverse/ggplot2/issues/2452). No bug when using a pdf
-}else{
-lg.alpha[[6]] <- alpha[[i1]]
-}
-class.categ <- levels(factor(data1[[i1]][, categ[[i1]]]))
-for(i5 in 1:length(color[[i1]])){ # or length(class.categ). It is the same because already checked that lengths are the same
-tempo.data.frame <- data1[[i1]][data1[[i1]][, categ[[i1]]] == class.categ[i5], ]
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), eval(parse(text = paste0("
-ggplot2::",
-ifelse(geom[[i1]] == 'geom_stick', 'geom_segment', geom[[i1]]), # geom_segment because geom_stick converted to geom_segment for plotting
-"(data = tempo.data.frame, mapping = ggplot2::aes(x = ",
-x[[i1]],
-ifelse(geom[[i1]] == 'geom_stick', ", yend = ", ", y = "),
-y[[i1]],
-if(geom[[i1]] == 'geom_stick'){paste0(', xend = ', x[[i1]], ', y = ', y.lim[1])},
-", size = ",
-categ[[i1]],
-"), color = \"",
-color[[i1]][i5],
-"\", linetype = ",
-ifelse(is.numeric(line.type[[i1]]), "", "\""),
-line.type[[i1]],
-ifelse(is.numeric(line.type[[i1]]), "", "\""),
-ifelse(geom[[i1]] == 'geom_path', ', lineend = \"round\"', ''),
-ifelse(geom[[i1]] == 'geom_step', paste0(', direction = \"', geom.step.dir[[i1]], '\"'), ''),
-", alpha = ",
-alpha[[i1]],
-", show.legend = FALSE)"
-)))) # WARNING: a single color allowed for color argument outside aesthetic, hence the loop # legend.show option do not remove the legend, only the aesthetic of the legend (dot, line, etc.). Used here to avoid multiple layers of legend which corrupt transparency
-coord.names <- c(coord.names, paste0(geom[[i1]], ".", class.categ[i5]))
-}
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_discrete_manual(aesthetics = "size", name = if(is.null(legend.name)){NULL}else{legend.name[[i1]]}, values = rep(line.size[[i1]], length(color[[i1]])), breaks = class.categ)) # values are the values of linetype. 1 means solid. Regarding the alpha bug, I have tried different things without success: alpha in guide alone, in geom alone, in both, breaks reorder the classes according to class.categ in the legend
-}
-}
-}
-# end loop part
-
-
-
-
-# legend display
-tempo.legend.final <- 'ggplot2::guides(
-fill = if(fin.lg.disp[[1]] == TRUE){
-ggplot2::guide_legend(
-order = lg.order[[1]],
-override.aes = list(
-fill = lg.color[[1]],
-colour = if(lg.dot.shape[[1]] %in% 21:24 & ! is.null(dot.border.color)){lg.dot.border.color[[1]]}else{lg.color[[1]]}, # lg.dot.shape[[1]] %in% 21:24 are the only one that can be filled
-shape = lg.dot.shape[[1]],
-size = lg.dot.size[[1]],
-stroke = lg.dot.border.size[[1]],
-alpha = lg.alpha[[1]],
-linetype = 0
-)
-)
-}else{
-FALSE
-},
-shape = if(fin.lg.disp[[2]] == TRUE){
-ggplot2::guide_legend(
-order = lg.order[[2]],
-override.aes = list(
-fill = lg.color[[2]],
-colour = if(lg.dot.shape[[2]] %in% 21:24 & ! is.null(dot.border.color)){lg.dot.border.color[[2]]}else{lg.color[[2]]}, # lg.dot.shape[[2]] %in% 21:24 are the only one that can be filled
-shape = lg.dot.shape[[2]],
-size = lg.dot.size[[2]],
-stroke = lg.dot.border.size[[2]],
-alpha = lg.alpha[[2]],
-linetype = 0
-)
-)
-}else{
-FALSE
-},
-stroke = if(fin.lg.disp[[3]] == TRUE){
-ggplot2::guide_legend(
-order = lg.order[[3]],
-override.aes = list(
-fill = lg.color[[3]],
-colour = if(lg.dot.shape[[3]] %in% 21:24 & ! is.null(dot.border.color)){lg.dot.border.color[[3]]}else{lg.color[[3]]}, # lg.dot.shape[[3]] %in% 21:24 are the only one that can be filled
-shape = lg.dot.shape[[3]],
-size = lg.dot.size[[3]],
-stroke = lg.dot.border.size[[3]],
-alpha = lg.alpha[[3]],
-linetype = 0
-)
-)
-}else{
-FALSE
-},
-linetype = if(fin.lg.disp[[4]] == TRUE){
-ggplot2::guide_legend(
-order = lg.order[[4]],
-override.aes = list(
-color = lg.color[[4]],
-size = lg.line.size[[4]],
-linetype = lg.line.type[[4]],
-alpha = lg.alpha[[4]],
-shape = NA
-)
-)
-}else{
-FALSE
-},
-alpha = if(fin.lg.disp[[5]] == TRUE){
-ggplot2::guide_legend(
-order = lg.order[[5]],
-override.aes = list(
-color = lg.color[[5]],
-size = lg.line.size[[5]],
-linetype = lg.line.type[[5]],
-alpha = lg.alpha[[5]],
-shape = NA
-)
-)
-}else{
-FALSE
-},
-size = if(fin.lg.disp[[6]] == TRUE){
-ggplot2::guide_legend(
-order = lg.order[[6]],
-override.aes = list(
-color = lg.color[[6]],
-size = lg.line.size[[6]],
-linetype = lg.line.type[[6]],
-alpha = lg.alpha[[6]],
-shape = NA
-)
-)
-}else{
-FALSE
-}
-)' # clip = "off" to have secondary ticks outside plot region does not work
-if( ! is.null(legend.width)){
-if(any(unlist(legend.disp))){ # means some TRUE
-tempo.graph.info <- suppressMessages(ggplot2::ggplot_build(eval(parse(text = paste0(paste(paste0(tempo.gg.name, 1:tempo.gg.count), collapse = " + "), ' + ', tempo.legend.final))))) # will be recovered later again, when ylim will be considered
-legend.final <- fun_gg_get_legend(ggplot_built = tempo.graph.info, fun.name = function.name) # get legend
-fin.lg.disp[] <- FALSE # remove all the legends. Must be done even if fin.lg.disp is not appearing in the code thenafter. Otherwise twice the legend
-if(is.null(legend.final) & plot == TRUE){ # even if any(unlist(legend.disp)) is TRUE
-legend.final <- fun_gg_empty_graph() # empty graph instead of legend
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") LEGEND REQUESTED (NON-NULL categ ARGUMENT OR legend.show ARGUMENT SET TO TRUE)\nBUT IT SEEMS THAT THE PLOT HAS NO LEGEND -> EMPTY LEGEND SPACE CREATED BECAUSE OF THE NON-NULL legend.width ARGUMENT\n")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}else if(plot == TRUE){ # means all FALSE
-legend.final <- ggplot2::ggplot()+ggplot2::theme_void() # empty graph instead of legend
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") LEGEND REQUESTED (NON-NULL categ ARGUMENT OR legend.show ARGUMENT SET TO TRUE)\nBUT IT SEEMS THAT THE PLOT HAS NO LEGEND -> EMPTY LEGEND SPACE CREATED BECAUSE OF THE NON-NULL legend.width ARGUMENT\n")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-}
-if( ! any(unlist(legend.disp))){
-fin.lg.disp[] <- FALSE # remove all the legends. Must be done even if fin.lg.disp is not appearing in the code thenafter. Otherwise twice the legend
-}
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), eval(parse(text = tempo.legend.final)))
-# end legend display
-
-
-
-
-
-# scale management
-tempo.coord <- suppressMessages(ggplot2::ggplot_build(eval(parse(text = paste(paste0(tempo.gg.name, 1:tempo.gg.count), collapse = " + ", ' + ggplot2::scale_x_continuous(expand = c(0, 0), limits = sort(x.lim), oob = scales::rescale_none) + ggplot2::scale_y_continuous(expand = c(0, 0), limits = sort(y.lim), oob = scales::rescale_none)'))))$layout$panel_params[[1]]) # here I do not need the x-axis and y-axis orientation, I just need the number of main ticks
-# x.second.tick.positions # coordinates of secondary ticks (only if x.second.tick.nb argument is non-null or if x.log argument is different from "no")
-if(x.log != "no"){ # integer main ticks for log2 and log10
-tempo.scale <- (as.integer(min(x.lim, na.rm = TRUE)) - 1):(as.integer(max(x.lim, na.rm = TRUE)) + 1)
-}else{
-tempo <- if(is.null(attributes(tempo.coord$x$breaks))){tempo.coord$x$breaks}else{unlist(attributes(tempo.coord$x$breaks))}
-if(all(is.na(tempo))){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nONLY NA IN tempo.coord$x$breaks")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-if(length(unique(x.lim)) <= 1){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nIT SEEMS THAT X-AXIS VALUES HAVE A NULL RANGE: ", paste(x.lim, collapse = " "), "\nPLEASE, USE THE x.lim ARGUMENT WITH 2 DIFFERENT VALUES TO SOLVE THIS")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-tempo.scale <- fun_scale(lim = x.lim, n = ifelse(is.null(x.tick.nb), length(tempo[ ! is.na(tempo)]), x.tick.nb)) # in ggplot 3.3.0, tempo.coord$x.major_source replaced by tempo.coord$x$breaks. If fact: n = ifelse(is.null(x.tick.nb), length(tempo[ ! is.na(tempo)]), x.tick.nb)) replaced by n = ifelse(is.null(x.tick.nb), 4, x.tick.nb))
-}
-}
-x.second.tick.values <- NULL
-x.second.tick.pos <- NULL
-if(x.log != "no"){
-tempo <- fun_inter_ticks(lim = x.lim, log = x.log)
-x.second.tick.values <- tempo$values
-x.second.tick.pos <- tempo$coordinates
-# if(vertical == TRUE){ # do not remove in case the bug is fixed
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::annotate(
-geom = "segment", x = x.second.tick.pos,
-xend = x.second.tick.pos,
-y = if(diff(y.lim) > 0){tempo.coord$y.range[1]}else{tempo.coord$y.range[2]},
-yend = if(diff(y.lim) > 0){tempo.coord$y.range[1] + abs(diff(tempo.coord$y.range)) / 80}else{tempo.coord$y.range[2] - abs(diff(tempo.coord$y.range)) / 80}
-))
-# }else{ # not working because of the ggplot2 bug
-# assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::annotate(geom = "segment", y = x.second.tick.pos, yend = x.second.tick.pos, x = tempo.coord$x.range[1], xend = tempo.coord$x.range[1] + diff(tempo.coord$x.range) / 80))
-# }
-coord.names <- c(coord.names, "x.second.tick.positions")
-}else if(( ! is.null(x.second.tick.nb)) & x.log == "no"){
-# if(x.second.tick.nb > 0){ #inactivated because already checked before
-tempo <- fun_inter_ticks(lim = x.lim, log = x.log, breaks = tempo.scale, n = x.second.tick.nb)
-x.second.tick.values <- tempo$values
-x.second.tick.pos <- tempo$coordinates
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::annotate(
-geom = "segment",
-x = x.second.tick.pos,
-xend = x.second.tick.pos,
-y = if(diff(y.lim) > 0){tempo.coord$y.range[1]}else{tempo.coord$y.range[2]},
-yend = if(diff(y.lim) > 0){tempo.coord$y.range[1] + abs(diff(tempo.coord$y.range)) / 80}else{tempo.coord$y.range[2] - abs(diff(tempo.coord$y.range)) / 80}
-))
-coord.names <- c(coord.names, "x.second.tick.positions")
-}
-# for the ggplot2 bug with x.log, this does not work: eval(parse(text = ifelse(vertical == FALSE & x.log == "log10", "ggplot2::scale_x_continuous", "ggplot2::scale_x_continuous")))
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_x_continuous(
-breaks = tempo.scale,
-minor_breaks = x.second.tick.pos,
-labels = if(x.log == "log10"){scales::trans_format("identity", scales::math_format(10^.x))}else if(x.log == "log2"){scales::trans_format("identity", scales::math_format(2^.x))}else if(x.log == "no"){ggplot2::waiver()}else{tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nCODE INCONSISTENCY 10") ; stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)},
-expand = c(0, 0), # remove space after after axis limits
-limits = sort(x.lim), # NA indicate that limits must correspond to data limits but xlim() already used
-oob = scales::rescale_none,
-trans = ifelse(diff(x.lim) < 0, "reverse", "identity") # equivalent to ggplot2::scale_x_reverse() but create the problem of x-axis label disappearance with x.lim decreasing. Thus, do not use. Use xlim() below and after this
-))
-# end x.second.tick.positions
-# y.second.tick.positions # coordinates of secondary ticks (only if y.second.tick.nb argument is non-null or if y.log argument is different from "no")
-if(y.log != "no"){ # integer main ticks for log2 and log10
-tempo.scale <- (as.integer(min(y.lim, na.rm = TRUE)) - 1):(as.integer(max(y.lim, na.rm = TRUE)) + 1)
-}else{
-tempo <- if(is.null(attributes(tempo.coord$y$breaks))){tempo.coord$y$breaks}else{unlist(attributes(tempo.coord$y$breaks))}
-if(all(is.na(tempo))){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nONLY NA IN tempo.coord$y$breaks")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}
-if(length(unique(y.lim)) <= 1){
-tempo.cat <- paste0("ERROR IN ", function.name, "\nIT SEEMS THAT Y-AXIS VALUES HAVE A NULL RANGE: ", paste(y.lim, collapse = " "), "\nPLEASE, USE THE y.lim ARGUMENT WITH 2 DIFFERENT VALUES TO SOLVE THIS")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-tempo.scale <- fun_scale(lim = y.lim, n = ifelse(is.null(y.tick.nb), length(tempo[ ! is.na(tempo)]), y.tick.nb)) # in ggplot 3.3.0, tempo.coord$y.major_source replaced by tempo.coord$y$breaks. If fact: n = ifelse(is.null(y.tick.nb), length(tempo[ ! is.na(tempo)]), y.tick.nb)) replaced by n = ifelse(is.null(y.tick.nb), 4, y.tick.nb))
-}
-}
-y.second.tick.values <- NULL
-y.second.tick.pos <- NULL
-if(y.log != "no"){
-tempo <- fun_inter_ticks(lim = y.lim, log = y.log)
-y.second.tick.values <- tempo$values
-y.second.tick.pos <- tempo$coordinates
-# if(vertical == TRUE){ # do not remove in case the bug is fixed
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::annotate(
-geom = "segment",
-y = y.second.tick.pos,
-yend = y.second.tick.pos,
-x = if(diff(x.lim) > 0){tempo.coord$x.range[1]}else{tempo.coord$x.range[2]},
-xend = if(diff(x.lim) > 0){tempo.coord$x.range[1] + abs(diff(tempo.coord$x.range)) / 80}else{tempo.coord$x.range[2] - abs(diff(tempo.coord$x.range)) / 80}
-))
-# }else{ # not working because of the ggplot2 bug
-# assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::annotate(geom = "segment", x = y.second.tick.pos, xend = y.second.tick.pos, y = tempo.coord$y.range[1], yend = tempo.coord$y.range[1] + diff(tempo.coord$y.range) / 80))
-# }
-coord.names <- c(coord.names, "y.second.tick.positions")
-}else if(( ! is.null(y.second.tick.nb)) & y.log == "no"){
-# if(y.second.tick.nb > 0){ #inactivated because already checked before
-tempo <- fun_inter_ticks(lim = y.lim, log = y.log, breaks = tempo.scale, n = y.second.tick.nb)
-y.second.tick.values <- tempo$values
-y.second.tick.pos <- tempo$coordinates
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::annotate(
-geom = "segment",
-y = y.second.tick.pos,
-yend = y.second.tick.pos,
-x = if(diff(x.lim) > 0){tempo.coord$x.range[1]}else{tempo.coord$x.range[2]},
-xend = if(diff(x.lim) > 0){tempo.coord$x.range[1] + abs(diff(tempo.coord$x.range)) / 80}else{tempo.coord$x.range[2] - abs(diff(tempo.coord$x.range)) / 80}
-))
-coord.names <- c(coord.names, "y.second.tick.positions")
-}
-# for the ggplot2 bug with y.log, this does not work: eval(parse(text = ifelse(vertical == FALSE & y.log == "log10", "ggplot2::scale_x_continuous", "ggplot2::scale_y_continuous")))
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::scale_y_continuous(
-breaks = tempo.scale,
-minor_breaks = y.second.tick.pos,
-labels = if(y.log == "log10"){scales::trans_format("identity", scales::math_format(10^.x))}else if(y.log == "log2"){scales::trans_format("identity", scales::math_format(2^.x))}else if(y.log == "no"){ggplot2::waiver()}else{tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, "\nCODE INCONSISTENCY 10") ; stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)},
-expand = c(0, 0), # remove space after axis limits
-limits = sort(y.lim), # NA indicate that limits must correspond to data limits but ylim() already used
-oob = scales::rescale_none,
-trans = ifelse(diff(y.lim) < 0, "reverse", "identity") # equivalent to ggplot2::scale_y_reverse() but create the problem of y-axis label disappearance with y.lim decreasing. Thus, do not use. Use ylim() below and after this
-))
-# end y.second.tick.positions
-assign(paste0(tempo.gg.name, tempo.gg.count <- tempo.gg.count + 1), ggplot2::coord_cartesian(xlim = x.lim, ylim = y.lim)) # clip = "off" to have secondary ticks outside plot region. The problem is that points out of bounds are also drawn outside the plot region. Thus, I cannot use it # at that stage, x.lim and y.lim not NULL anymore
-# end scale management
-
-
-
-
-# drawing
-fin.plot <- eval(parse(text = paste(paste0(tempo.gg.name, 1:tempo.gg.count), collapse = " + ")))
-grob.save <- NULL
-if(plot == TRUE){
-if( ! is.null(legend.width)){ # any(unlist(legend.disp)) == TRUE removed to have empty legend space # not & any(unlist(fin.lg.disp)) == TRUE here because converted to FALSE
-grob.save <- suppressMessages(suppressWarnings(gridExtra::grid.arrange(fin.plot, legend.final, ncol=2, widths=c(1, legend.width))))
-}else{
-grob.save <- suppressMessages(suppressWarnings(print(fin.plot)))
-}
-}else{
-warn.count <- warn.count + 1
-tempo.warn <- paste0("(", warn.count,") PLOT NOT SHOWN AS REQUESTED")
-warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
-}
-# end drawing
-
-
-
-# outputs
-if(warn.print == TRUE & ! is.null(warn)){
-options(warning.length = 8170)
-on.exit(warning(paste0("FROM ", function.name, ":\n\n", warn), call. = FALSE))
-on.exit(exp = options(warning.length = ini.warning.length), add = TRUE)
-}
-if(return == TRUE){
-output <- suppressMessages(ggplot2::ggplot_build(fin.plot))
-# output$data <- output$data[-1] # yes for boxplot but not for scatter # remove the first data because corresponds to the initial empty boxplot
-if(length(output$data) != length(coord.names)){
-tempo.cat <- paste0("INTERNAL CODE ERROR IN ", function.name, ": length(output$data) AND length(coord.names) MUST BE IDENTICAL. CODE HAS TO BE MODIFIED")
-stop(paste0("\n\n================\n\n", tempo.cat, "\n\n================\n\n", ifelse(is.null(warn), "", paste0("IN ADDITION\nWARNING", ifelse(warn.count > 1, "S", ""), ":\n\n", warn))), call. = FALSE)
-}else{
-names(output$data) <- coord.names
-}
-if(is.null(unlist(removed.row.nb))){
-removed.row.nb <- NULL
-removed.rows <- NULL
-}else{
-for(i3 in 1:length(data1)){
-if( ! is.null(removed.row.nb[[i3]])){
-removed.row.nb[[i3]] <- sort(removed.row.nb[[i3]])
-removed.rows[[i3]] <- data1.ini[[i3]][removed.row.nb[[i3]], ]
-}
-}
-}
-tempo <- output$layout$panel_params[[1]]
-output <- list(
-data = data1,
-removed.row.nb = removed.row.nb,
-removed.rows = removed.rows,
-plot = c(output$data, x.second.tick.values = list(x.second.tick.values), y.second.tick.values = list(y.second.tick.values)),
-panel = facet.categ,
-axes = list(
-x.range = tempo$x.range,
-x.labels = if(is.null(attributes(tempo$x$breaks))){tempo$x$breaks}else{tempo$x$scale$get_labels()}, # is.null(attributes(tempo$x$breaks)) test if it is number (TRUE) or character (FALSE)
-x.positions = if(is.null(attributes(tempo$x$breaks))){tempo$x$breaks}else{unlist(attributes(tempo$x$breaks))},
-y.range = tempo$y.range,
-y.labels = if(is.null(attributes(tempo$y$breaks))){tempo$y$breaks}else{tempo$y$scale$get_labels()},
-y.positions = if(is.null(attributes(tempo$y$breaks))){tempo$y$breaks}else{unlist(attributes(tempo$y$breaks))}
-),
-warn = paste0("\n", warn, "\n\n"),
-ggplot = if(return.ggplot == TRUE){fin.plot}else{NULL}, # fin.plot plots the graph if return == TRUE
-gtable = if(return.gtable == TRUE){grob.save}else{NULL} #
-)
-return(output) # this plots the graph if return.ggplot is TRUE and if no assignment
-}
-# end outputs
-# end main code
-}
-
-
-
diff --git a/cute_little_R_functions.docx b/cute_little_R_functions.docx
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diff --git a/fun_gg_boxplot.docx b/fun_gg_boxplot.docx
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diff --git a/fun_gg_scatter.docx b/fun_gg_scatter.docx
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diff --git a/scatter_examples.R b/scatter_examples.R
index f43bd08..23c677c 100644
--- a/scatter_examples.R
+++ b/scatter_examples.R
@@ -2,11 +2,11 @@
### Data set
set.seed(1)
-# Curves
+# Line
obs1 <- data.frame(
- Km = 2:7,
- Time = (2:7)^2,
- Car = c("TUUT", "TUUT", "TUUT", "WIM-WIM", "WIM-WIM", "WIM-WIM"),
+ Km = c(2, 1, 6, 5, 4, 7),
+ Time = c(2, 1, 6, 5, 4, 7)^2,
+ Car = c("TUUT", "TUUT", "TUUT", "WIIM", "WIIM", "WIIM"),
Color1 = rep(c("coral", "lightblue"), each = 3),
stringsAsFactors = TRUE
)
@@ -26,6 +26,14 @@ obs3 <- data.frame(
Color3 = rep(3:4, times = 500),
stringsAsFactors = TRUE
)
+# obs4 assembles ob2 and obs3
+obs4 <- data.frame(
+ Km = c(obs2$Km, obs3$Distance),
+ Time = c(obs2$Time, obs3$Time_lapse),
+ Type = c(as.character(obs2$Animal), as.character(obs3$Beast)),
+ stringsAsFactors = TRUE
+)
+fun_info(obs4)
set.seed(NULL)
fun_info(obs1)
fun_info(obs2)
@@ -50,7 +58,7 @@ fun_gg_scatter(
y = list("Time")
)
### multiple dataset
-# Elements in list have names (L1, L2, etc.) just to show the correspondence between the arguments data1, x, y, categ, etc.
+# Elements in list are named L1, L2, etc., just to show the correspondence between the arguments data1, x, y, categ, etc.
# Of note, no legend is displayed. For a legend, please merge the two data frames, or create a new categ column in each data frame (see below)
fun_gg_scatter(
data1 = list(
@@ -69,67 +77,53 @@ fun_gg_scatter(
### The categ argument to generate legends. Create a categ column in data frames if a legend is required
### single dataset
-fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car")
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time",
+ categ = "Car"
+)
### multiple datasets
-fun_gg_scatter(
- data1 = list(
- L1 = obs2,
- L2 = obs3
- ),
- x = list(
- L1 = "Km",
- L2 = "Distance"
- ),
- y = list(
- L1 = "Time",
- L2 = "Time_lapse"
- ),
+fun_gg_scatter(data1 = list(obs2, obs3), x = list("Km", "Distance"), y = list("Time", "Time_lapse"),
categ = list(
L1 = "Animal",
L2 = "Beast"
)
)
# Another way for multiple datasets representation, depending on legend required
-obs4 <- data.frame(
- Km = c(obs2$Km, obs3$Distance),
- Time = c(obs2$Time, obs3$Time_lapse),
- Type = c(as.character(obs2$Animal), as.character(obs3$Beast)),
- stringsAsFactors = TRUE
+fun_gg_scatter(data1 = obs4, x = "Km", y = "Time",
+ categ = "Type"
)
-fun_info(obs4)
-fun_gg_scatter(data1 = obs4, x = "Km", y = "Time", categ = "Type")
-### Order in the legend
-### single dataset
-fun_gg_scatter(
- data1 = obs1,
- x = "Km",
- y = "Time",
- categ = "Car",
- categ.class.order = c("WIM-WIM", "TUUT")
-)
-### multiple datasets
+### Order of layers in the legend (multiple datasets)
+# order of layer depends on the data1 order (obs3 before obs2, and then all the associated parameters in the same order in the arguments)
fun_gg_scatter(
data1 = list(
- L1 = obs2,
- L2 = obs3
+ L1 = obs3,
+ L2 = obs2
),
x = list(
- L1 = "Km",
- L2 = "Distance"
+ L1 = "Distance",
+ L2 = "Km"
),
y = list(
- L1 = "Time",
- L2 = "Time_lapse"
+ L1 = "Time_lapse",
+ L2 = "Time"
),
categ = list(
- L1 = "Animal",
- L2 = "Beast"
+ L1 = "Beast",
+ L2 = "Animal"
),
+
+
+### Order of classes in each layer
+### single dataset
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+ categ.class.order = c("WIIM", "TUUT")
+)
+### multiple datasets
+fun_gg_scatter(data1 = list(obs2, obs3), x = list("Km", "Distance"), y = list("Time", "Time_lapse"), categ = list("Animal", "Beast"),
categ.class.order = list(
- c("DOG", "CAT"),
- c("ZEBRA", "LION")
+ L1 = c("DOG", "CAT"),
+ L2 = c("ZEBRA", "LION")
)
)
@@ -138,238 +132,297 @@ fun_gg_scatter(
### Colors
### single dataset
# Using a single color value
-fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", color = "black") # replace "black" by 2 to test integer values
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+ color = "black"
+) # replace "black" by 2 to test integer values
# Using one color value par class of Categ1
-fun_gg_scatter(
- data1 = obs1,
- x = "Km",
- y = "Time",
- categ = "Car", # mandatory categ argument when several color required
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car", # mandatory categ argument when several color required
color = c("darkblue", "darkgreen") # replace c("darkblue", "darkgreen") by 2:3 to test integer values
)
# Using a vector of color values (e.g., data frame column), with respect of the correspondence between Car and Color1 columns
-fun_gg_scatter(
- data1 = obs1,
- x = "Km",
- y = "Time",
- categ = "Car", # mandatory categ argument when several color required
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car", # replace "black" by 2 to test integer values
color = obs1$Color1 # # replace obs1$Color1 by as.numeric(obs1$Color1) to test integer values
)
### multiple datasets
# single color -> same color for all the datasets and all the classes of categ if non NULL
-fun_gg_scatter(
- data1 = list(
- L1 = obs2,
- L2 = obs3
- ),
- x = list(
- L1 = "Km",
- L2 = "Distance"
- ),
- y = list(
- L1 = "Time",
- L2 = "Time_lapse"
- ),
- categ = list( # mandatory categ argument when several color required per dataset
- L1 = "Animal",
- L2 = "Beast"
- ),
+fun_gg_scatter(data1 = list(obs2, obs3), x = list("Km", "Distance"), y = list("Time", "Time_lapse"), categ = list("Animal", "Beast"),
color = "darkblue" # replace "darkblue" by 2 to test integer values
)
# list of single colors -> each dataset with the same color
-fun_gg_scatter(
- data1 = list(
- L1 = obs2,
- L2 = obs3
- ),
- x = list(
- L1 = "Km",
- L2 = "Distance"
- ),
- y = list(
- L1 = "Time",
- L2 = "Time_lapse"
- ),
- categ = list( # mandatory categ argument when several color required per dataset
- L1 = "Animal",
- L2 = "Beast"
- ),
+fun_gg_scatter(data1 = list(obs2, obs3), x = list("Km", "Distance"), y = list("Time", "Time_lapse"), categ = list("Animal", "Beast"),
color = list(
L1 = "darkblue", # replace "darkblue" by 2 to test integer values
L2 = "darkgreen" # replace "darkgreen" by 3 to test integer values
)
)
# list of single colors for each class of the categ argument
-fun_gg_scatter(
- data1 = list(
- L1 = obs2,
- L2 = obs3
- ),
- x = list(
- L1 = "Km",
- L2 = "Distance"
- ),
- y = list(
- L1 = "Time",
- L2 = "Time_lapse"
- ),
- categ = list( # mandatory categ argument when several color required per dataset
- L1 = "Animal",
- L2 = "Beast"
- ),
+fun_gg_scatter(data1 = list(obs2, obs3), x = list("Km", "Distance"), y = list("Time", "Time_lapse"), categ = list("Animal", "Beast"),
color = list(
L1 = c("darkblue", "darkred"), # replace c("darkblue", "darkred") by 2:3 to test integer values
L2 = c("darkgreen", "darkorange") # replace c("darkgreen", "darkviolet") by 4:5 to test integer values
)
)
# list of vectors of color values (e.g., data frame column), with respect of the correspondence between the categorical and the color columns
+fun_gg_scatter(data1 = list(obs2, obs3), x = list("Km", "Distance"), y = list("Time", "Time_lapse"), categ = list("Animal", "Beast"),
+ color = list(
+ L1 = obs2$Color2, # Replace by NULL to see that different levels of grey is used per dataset (not per class of the categ argument)
+ L2 = obs3$Color3 # color of integer value can be used. Replace by NULL to see that different levels of grey is used per dataset (not per class of the categ argument)
+ )
+)
+
+
+### geometry
+### single dataset
+# scatterplot
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+ geom = "geom_point"
+)
+# line: coordinates plotted then line connection, from the lowest to highest x coordinates first and from the lowest to highest y coordinates thenafter
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+ geom = "geom_line"
+)
+# line: coordinates plotted then line connection respecting the row order in data1
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+ geom = "geom_path"
+)
+# step: coordinates plotted then line connection respecting the row order in data1 but drawn in steps
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+ geom = "geom_step",
+ geom.step.dir = "vh" # test "vh" (vertical then horizontal), "hv" (horizontal then vertical) and "mid" (step half-way between adjacent x-values)
+)
+# horizontal line
+fun_gg_scatter(data1 = obs1[c(1, 4), ], y = "Time", categ = "Car", # c(1, 4) because a single value of y per class of categ. Otherwise use data1 = obs1, x = "Km", categ = NULL
+ x = NULL, # must be NULL for geom_hline
+ geom = "geom_hline",
+ x.lim = c(0, 1) # mandatory because no x-axis limits in the dataset
+)
+# vertical line
+fun_gg_scatter(data1 = obs1[c(1, 4), ], x = "Km", categ = "Car", # c(1, 4) because a single value of x per class of categ. Otherwise use data1 = obs1, x = "Km", categ = NULL
+ y = NULL, # must be NULL for geom_hline
+ geom = "geom_vline",
+ y.lim = c(0, 1) # mandatory because no y-axis limits in the dataset
+)
+# stick: dots as vertical bars
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+ geom = "geom_stick"
+)
+### multiple dataset
+fun_gg_scatter(data1 = list(obs2, obs3), x = list("Km", "Distance"), y = list("Time", "Time_lapse"), categ = list("Animal", "Beast"),
+ geom = list(
+ L1 = "geom_point",
+ L2 = "geom_line"
+ )
+)
+### multiple dataset: complex example
fun_gg_scatter(
data1 = list(
- L1 = obs2,
- L2 = obs3
+ L1 = obs1,
+ L2 = obs2,
+ L3 = obs3,
+ L4 = obs1[c(1, 4), ]
),
x = list(
- L1 = "Km",
- L2 = "Distance"
+ L1 = "Km",
+ L2 = "Km",
+ L3 = "Distance",
+ L4 = NULL # because of L4 = "geom_hline" below
),
y = list(
- L1 = "Time",
- L2 = "Time_lapse"
+ L1 = "Time",
+ L2 = "Time",
+ L3 = "Time_lapse",
+ L4 = "Time"
),
- categ = list( # mandatory categ argument when several color required per dataset
- L1 = "Animal",
- L2 = "Beast"
+ categ = list(
+ L1 = "Car",
+ L2 = "Animal",
+ L3 = "Beast",
+ L4 = "Car"
),
- color = list(
- L1 = obs2$Color2, # Replace by NULL to see that different levels of grey is used per dataset (not per class of the categ argument)
- L2 = obs3$Color3 # color of integer value can be used. Replace by NULL to see that different levels of grey is used per dataset (not per class of the categ argument)
- )
+ geom = list( # no more than 3 "geom_point", and no more than 3 kind of lines
+ L1 = "geom_point",
+ L2 = "geom_line",
+ L3 = "geom_step",
+ L4 = "geom_hline"
+ ),
+ geom.step.dir = "hv" # or geom.step.dir = list(L1 = NULL, L2 = NULL, L3 = "hv", L4 = NULL) # NULL or anything else, since only the 3rd compartment will be used, because only the 3rd compartment of geom is "geom_step"
)
-
-
-
-
-
-
-### Other parameters of boxes
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-box.legend.name = "ANIMALS",
-box.fill = TRUE,
-box.width = 0.6, # separate boxes: between 0 (no box width <-> max boxes separation) and 1 (max box width <-> no boxes separation). Grouped boxes: between 0 (no group width <-> max group separation) and 1 (max group width <-> no group separation)
-box.space = 0, # between 0 (no separation) and 1 (max separation) but only to separate boxes inside groups of boxes
-box.line.size = 0.75,
-box.notch = TRUE,
-box.alpha = 1,
-box.mean = FALSE,
-box.whisker.kind = "max",
-box.whisker.width = 0.5 # between 0 (no whisker extremities) and 1 (whisker extremities the width of the boxes)
+### arguments of dots
+### single dataset
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+ alpha = 0.7,
+ dot.size = 5, # shape radius (?) in mm
+ dot.shape = 22, # shape of the dots (see https://ggplot2.tidyverse.org/articles/ggplot2-specs.html)
+ dot.border.size = 3, # border dot width in mm, use 0 for no border
+ dot.border.color = "grey"
)
-
-### Dot colors
-# Dot removal
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", dot.color = NULL)
-# Same color as the boxes
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", dot.color = "same")
-# Single color sting
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", dot.color = "green") # a single integer also works
-# Same number of Categ1 classes
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", dot.color = c("green", "brown")) # test also 1:2 (result is idem as "same")
-# Using a vector of color values of the same length as the number of rows in data1 (e.g., data frame column). No correspondence with Categ1 classes is required
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1", dot.color = 1:nrow(obs1))
-# With grouped boxes, we generate the same effects but for the second category
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), dot.color = NULL)
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), dot.color = "same")
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), dot.color = "green") # a single integer also works
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), dot.color = c("green", "brown", "red", "blue")) # test also 1:2 (result is idem as "same")
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = c("Categ1", "Categ2"), dot.color = 1:nrow(obs1))
-
-### Legend for dots
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-dot.color = c("green", "brown", "red", "blue"), # single color or same number of dot.categ classes in that case ("same" authorized if dot.categ is the last element of categ)
-dot.categ = "Categ2",
-dot.categ.class.order = c("D", "A", "C", "B"),
-dot.legend.name = "ANIMAL GROUP"
+### multiple dataset
+# single value. If one geom argument is not "geom_point" (default geom value), these arguments are ignored, except alpha (see below)
+fun_gg_scatter(data1 = list(obs2, obs3), x = list("Km", "Distance"), y = list("Time", "Time_lapse"), categ = list("Animal", "Beast"),
+ alpha = 0.2,
+ dot.size = 5, # shape radius (?) in mm
+ dot.shape = 22, # shape of the dots (see https://ggplot2.tidyverse.org/articles/ggplot2-specs.html)
+ dot.border.size = 3, # border dot width in mm, use 0 for no border
+ dot.border.color = 7 # Integer is allowed
+)
+# list of values. If one geom argument is not "geom_point" (default geom value), the corresponding compartments of these arguments are ignored, except alpha (see below)
+fun_gg_scatter(data1 = list(obs2, obs3), x = list("Km", "Distance"), y = list("Time", "Time_lapse"), categ = list("Animal", "Beast"),
+ alpha = list(0.2, 0.7),
+ dot.size = list(4, 5), # shape radius (?) in mm
+ dot.shape = list(21, 22), # shape of the dots (see https://ggplot2.tidyverse.org/articles/ggplot2-specs.html)
+ dot.border.size = list(4, 3), # border dot width in mm, use 0 for no border
+ dot.border.color = "grey" # no list here -> same border color whatever the shapes
)
-### Other parameters of dots
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-dot.categ = "Categ2", # to see the dot legend
-dot.color = c("green", "brown", "red", "blue"),
-dot.size = 5, # ignored if dot.tidy = TRUE
-dot.alpha = 0.3,
-dot.border.size = 2,
-dot.border.color = "green",
+### arguments of lines
+### single dataset
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car", geom = "geom_line",
+ alpha = 0.7,
+ line.size = 2, # line width in mm
+ line.type = "dashed" # kind of lines (see https://ggplot2.tidyverse.org/articles/ggplot2-specs.html)
)
-
-### X-axis parameter
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-x.lab = "ANIMALS"
+### multiple dataset
+# single value. If one geom argument is not "geom_point" (default geom value), these arguments are ignored, except alpha (see below)
+fun_gg_scatter(data1 = list(obs2, obs3), x = list("Km", "Distance"), y = list("Time", "Time_lapse"), categ = list("Animal", "Beast"), geom = list("geom_line", "geom_stick"),
+ alpha = 0.2,
+ line.size = 1, # line width in mm
+ line.type = "solid" # kind of lines (see https://ggplot2.tidyverse.org/articles/ggplot2-specs.html)
+)
+# list of values. If one geom argument is not "geom_point" (default geom value), the corresponding compartments of these arguments are ignored, except alpha (see below)
+fun_gg_scatter(data1 = list(obs2, obs3), x = list("Km", "Distance"), y = list("Time", "Time_lapse"), categ = list("Animal", "Beast"), geom = list("geom_line", "geom_stick"),
+ alpha = list(0.5, 0.05),
+ line.size = list(1, 3), # line width in mm
+ line.type = list("81", "solid") # kind of lines (see https://ggplot2.tidyverse.org/articles/ggplot2-specs.html)
)
-### Y-axis parameter
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-y.lab = "SIZE",
-y.lim = c(1000, 0.1), # order matters
-y.log = "log10", # try "no"
-y.tick.nb = 10, # approximate number
-y.second.tick.nb = 2,
-y.include.zero = FALSE,
-y.top.extra.margin = 0,
-y.bottom.extra.margin = 0,
+### arguments of x-axis
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+ x.lim = c(1000, 0.1), # order matters
+ x.lab = "SIZE",
+ x.log = "log10", # try "no"
+ x.tick.nb = 10, # approximate number
+ x.second.tick.nb = 2,
+ x.include.zero = FALSE,
+ x.left.extra.margin = 0,
+ x.right.extra.margin = 0,
+ x.text.angle = 45
)
+### arguments of y-axis
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+ y.lim = c(1000, 0.1), # order matters
+ y.lab = "SIZE",
+ y.log = "log10", # try "no"
+ y.tick.nb = 10, # approximate number
+ y.second.tick.nb = 2,
+ y.include.zero = FALSE,
+ y.top.extra.margin = 0,
+ y.bottom.extra.margin = 0,
+ y.text.angle = 45
+)
+
+### raster plot (easier to display and export as it convert vectorial dot layer into matricial dot layer)
+res <- fun_open(pdf = FALSE, width = 7, height = 4, return.output = TRUE)
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+ raster = TRUE,
+ raster.ratio = res$dim[2] / res$dim[1], # test raster.ratio = 1 to see the distorsion
+ raster.threshold = 1
+)
### Text management
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-text.size = 20,
-text.angle = 90
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+text.size = 20
)
### Title
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
title = "FIRST EXPERIMENT",
title.text.size = 20
)
-### Management of the legend area
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-legend.show = FALSE, # remove the legend, not the area of the legend
-legend.width = 1 # between 0 (no area for the legend) to 1 (half the device width for the legend area). Use NULL for default management
+### Management of the legend area and legend titles
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+legend.show = TRUE, # FALSE remove the legend, not the area of the legend
+legend.width = 1, # between 0 (no area for the legend) to 1 (half the device width for the legend area). Use NULL for default management
+legend.name = "CORVETTE" # if categ = "Car", then the legend name is "Car" by default. Use "" to remove the legend name
)
### Appearance
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
article = FALSE,
grid = TRUE
)
### the add argument
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
add = "+ggplot2::theme_classic()"
)
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-add = "+ggplot2::facet_wrap(facets = 'Categ2', labeller = 'label_both') + ggplot2::theme(strip.background = ggplot2::element_rect(color = 'grey', size = 0.5), strip.text = ggplot2::element_text(size = 10, face = 'bold'), panel.spacing = ggplot2::unit(0.5, 'lines'))" # or ggplot2::vars(Categ2) instead of 'Categ2'. See https://ggplot2.tidyverse.org/reference/labeller.html
-)
+fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+add = "+ggplot2::facet_wrap(facets = 'Car', labeller = 'label_both') + ggplot2::theme(strip.background = ggplot2::element_rect(color = 'grey', size = 0.5), strip.text = ggplot2::element_text(size = 10, face = 'bold'), panel.spacing = ggplot2::unit(0.5, 'lines'))" # or ggplot2::vars(Car) instead of 'Car'. See https://ggplot2.tidyverse.org/reference/labeller.html
+) # use legend.show = FALSE, legend.width = 0 to remove the legend area
### Other parameters
-fun_gg_boxplot(data1 = obs1, y = "Time", categ = "Categ1",
-return = TRUE,
+res <- fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+return = TRUE, # output returned (and assigned into res)
return.ggplot = TRUE,
-plot = FALSE,
+return.gtable = FALSE,
+plot = FALSE, # no plot displayed
+warn.print = FALSE,
+lib.path = NULL
+)
+# plot the result
+fun_open(pdf = FALSE)
+res$ggplot
+
+# The advantage of $ggplot is that it is easy to update the plot
+res$ggplot + ggplot2::annotate(geom = "text", x = 1.5, y = 400, label = "NOT GOOD", size = 20, angle = 45)
+
+# However, manipulation of res triggers plotting because of the presence of non NULL $ggplot, which is annoying, as explain in the function description. Thus, it is preferable to use return.ggplot = FALSE
+fun_open(pdf = FALSE)
+res
+
+
+
+
+### Notes about the gtable output
+res2 <- fun_gg_scatter(data1 = obs1, x = "Km", y = "Time", categ = "Car",
+return = TRUE,
+return.ggplot = FALSE,
+return.gtable = TRUE, # return.gtable must be TRUE to have a non NULL $gtable output into res2
+plot = TRUE, # plot must be TRUE to have a non NULL $gtable output into res2
warn.print = FALSE,
lib.path = NULL
)
+# display the results (does not plot the graph, contrary to $ggplot)
+fun_open(pdf = FALSE)
+res2
+
+# replot
+fun_open(pdf = FALSE)
+gridExtra::grid.arrange(res2$gtable) # Contrary to $ggplot, $gtable cannot be easily updated (see https://stackoverflow.com/questions/26499608/inverse-of-ggplotgrob)
+# plot the first grob
+fun_open(pdf = FALSE)
+gridExtra::grid.arrange(res2$gtable[1,1])
+# plot the second grob
+fun_open(pdf = FALSE)
+gridExtra::grid.arrange(res2$gtable[1,2])
+
+
+
+
+
+
--
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