cute_little_R_functions.R 720 KB
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# 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
}
# end code that protects set.seed() in the global environment
if( ! is.null(seed)){
set.seed(seed)
}
ini.date <- Sys.time() # time of process begin, converted into seconds
ini.time <- as.numeric(ini.date) # time of process begin, converted into seconds
ini.pos <- 1:length(data1) # positions of data1 before permutation loops
tempo.pos <- ini.pos # positions of data1 that will be modified during loops
# pos.selec.seq <- ini.pos[-length(data1)] # selection of 1 position in initial position, without the last because always up permutation (pos -> pos+1 & pos+1 -> pos)
pos.selec.seq.max <- length(ini.pos) - 1 # max position (used by sample.int() function). See  below for - 1
warn <- NULL
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warn.count <- 0
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count <- 0
round <- 0
BREAK <- FALSE
tempo.cor <- 0
if(is.null(data2)){
if(length(table(data1)) == 1){
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warn.count <- warn.count + 1
tempo.warn <- paste0("(", warn.count,") FROM FUNCTION ", function.name, ": NO PERMUTATION PERFORMED BECAUSE data1 ARGUMENT SEEMS TO BE MADE OF IDENTICAL ELEMENTS: ", names(table(data1)))
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warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn))) #
}else{
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if(print.count > n){
print.count <- n
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}
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "FOR LOOP OF ", n, " LOOPS INITIATED | LOOP COUNT: ", format(count, big.mark=",")))
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print.count.loop <- logical(length = print.count)
print.count.loop[length(print.count.loop)] <- TRUE # not this to avoid long vector, but not forget to reset during printing: print.count.loop[(1:trunc(n / print.count) * print.count)] <- TRUE # counter to speedup
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count.loop <- 0
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pos <- sample.int(n = pos.selec.seq.max , size = print.count, replace = TRUE) # selection of random positions. BEWARE: n = pos.selec.seq.max because already - 1 (see above) but is connected to tempo.pos[c(pos2 + 1, pos2)] <- tempo.pos[c(pos2, pos2 + 1)]
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tempo.date.loop <- Sys.time()
tempo.time.loop <- as.numeric(tempo.date.loop)
for(i3 in 1:n){
count.loop <- count.loop + 1
pos2 <- pos[count.loop] # selection of 1 position
tempo.pos[c(pos2 + 1, pos2)] <- tempo.pos[c(pos2, pos2 + 1)]
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if(print.count.loop[count.loop]){
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count.loop <- 0
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pos <- sample.int(n = pos.selec.seq.max , size = print.count, replace = TRUE) # BEWARE: never forget to resample here
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tempo.time <- as.numeric(Sys.time())
tempo.lapse <- round(lubridate::seconds_to_period(tempo.time - tempo.time.loop))
final.loop <- (tempo.time - tempo.time.loop) / i3 * n
final.exp <- as.POSIXct(final.loop, origin = tempo.date.loop)
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "FOR LOOP ", i3, " / ", n, " | TIME SPENT: ", tempo.lapse, " | EXPECTED END: ", final.exp))
}
}
count <- count + n # out of the loop to speedup
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "FOR LOOP ENDED | LOOP COUNT: ", format(count, big.mark=",")))
cat("\n\n")
}
}else{
if(length(table(data1)) == 1){
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warn.count <- warn.count + 1
tempo.warn <- paste0("(", warn.count,") FROM FUNCTION ", function.name, ": NO PERMUTATION PERFORMED BECAUSE data1 ARGUMENT SEEMS TO BE MADE OF IDENTICAL ELEMENTS: ", names(table(data1)))
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warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn))) #
tempo.cor <- 1
}else if(length(table(data2)) == 1){
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warn.count <- warn.count + 1
tempo.warn <- paste0("(", warn.count,") FROM FUNCTION ", function.name, ": NO PERMUTATION PERFORMED BECAUSE data2 ARGUMENT SEEMS TO BE MADE OF IDENTICAL ELEMENTS: ", names(table(data2)))
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warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn))) #
tempo.cor <- 1
}else{
cor.ini <- cor(x = data1, y = data2, use = "pairwise.complete.obs", method = cor.method)
tempo.cor <- cor.ini # correlation that will be modified during loops
neg.cor <- FALSE
if(tempo.cor < 0){
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warn.count <- warn.count + 1
tempo.warn <- paste0("(", warn.count,") FROM FUNCTION ", function.name, ": INITIAL ", toupper(cor.method), " CORRELATION BETWEEN data1 AND data2 HAS BEEN DETECTED AS NEGATIVE: ", tempo.cor, ". THE LOOP STEPS WILL BE PERFORMED USING POSITIVE CORRELATIONS BUT THE FINAL CORRELATION WILL BE NEGATIVE")
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warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn))) #
neg.cor <- TRUE
tempo.cor <- abs(tempo.cor)
cor.ini <- abs(cor.ini)
}
if(tempo.cor < cor.limit){ # randomize directly all the position to be close to correlation zero
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warn.count <- warn.count + 1
tempo.warn <- paste0("(", warn.count,") FROM FUNCTION ", function.name, ": INITIAL ABSOLUTE VALUE OF THE ", toupper(cor.method), " CORRELATION ", fun_round(tempo.cor), " BETWEEN data1 AND data2 HAS BEEN DETECTED AS BELOW THE CORRELATION LIMIT PARAMETER ", cor.limit, "\nTHE data1 SEQUENCE HAS BEEN COMPLETELY RANDOMIZED TO CORRESPOND TO CORRELATION ZERO")
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warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn))) #
for(i4 in 1:5){ # done 5 times to be sure of the complete randomness
tempo.pos <- sample(x = tempo.pos, size = length(tempo.pos), replace = FALSE)
}
count <- count + 5 # out of the loop to speedup
}else{
# smallest correlation decrease
count <- count + 1 # 1 and not 0 because already 1 performed just below
pos <- sample.int(n = pos.selec.seq.max , size = 1, replace = TRUE) # selection of 1 position # pos.selec.seq.max  because selection of 1 position in initial position, without the last because always up permutation (pos -> pos+1 & pos+1 -> pos)
tempo.pos[c(pos + 1, pos)] <- tempo.pos[c(pos, pos + 1)]
tempo.cor <- abs(cor(x = data1[tempo.pos], y = data2, use = "pairwise.complete.obs", method = cor.method))
smallest.cor.dec <- cor.ini - tempo.cor
# end smallest correlation decrease
# going out of tempo.cor == cor.ini
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "CORRELATION DECREASE AFTER A SINGLE PERMUTATION: ", fun_round(smallest.cor.dec, 4)))
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "FIRST WHILE LOOP STEP -> GOING OUT FROM EQUALITY | LOOP COUNT: ", format(count, big.mark=","), " | CORRELATION LIMIT: ", fun_round(cor.limit, 4), " | ABS TEMPO CORRELATION: ", fun_round(tempo.cor, 4)))
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print.count.loop <- logical(length = print.count)
print.count.loop[length(print.count.loop)] <- TRUE # counter to speedup
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count.loop <- 0 # 
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pos <- sample.int(n = pos.selec.seq.max , size = print.count, replace = TRUE) # selection of random positions. BEWARE: n = pos.selec.seq.max because already - 1 (see above) but is connected to tempo.pos[c(pos2 + 1, pos2)] <- tempo.pos[c(pos2, pos2 + 1)]
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tempo.date.loop <- Sys.time()
tempo.time.loop <- as.numeric(tempo.date.loop)
while(tempo.cor == cor.ini){ # to be out of equality between tempo.cor and cor.ini at the beginning (only valid for very long vector)
count <- count + 1
count.loop <- count.loop + 1
pos2 <- pos[count.loop]
tempo.pos[c(pos2 + 1, pos2)] <- tempo.pos[c(pos2, pos2 + 1)]
tempo.cor <- abs(cor(x = data1[tempo.pos], y = data2, use = "pairwise.complete.obs", method = cor.method))
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if(print.count.loop[count.loop]){
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count.loop <- 0
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pos <- sample.int(n = pos.selec.seq.max , size = print.count, replace = TRUE) # BEWARE: never forget to resample here
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tempo.time <- as.numeric(Sys.time())
tempo.lapse <- round(lubridate::seconds_to_period(tempo.time - tempo.time.loop))
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "FIRST WHILE LOOP STEP", format(count.loop, big.mark=","), " / ? | COUNT: ", format(count, big.mark=","), " | CORRELATION LIMIT: ", fun_round(cor.limit, 4), " | ABS TEMPO CORRELATION: ", fun_round(tempo.cor, 4), " | TIME SPENT: ", tempo.lapse))
}
}
tempo.time <- as.numeric(Sys.time())
tempo.lapse <- round(lubridate::seconds_to_period(tempo.time - ini.time))
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "FIRST WHILE LOOP STEP END | LOOP COUNT: ", format(count, big.mark=","), " | CORRELATION LIMIT: ", fun_round(cor.limit, 4), " | ABS TEMPO CORRELATION: ", fun_round(tempo.cor, 4), " | TOTAL SPENT TIME: ", tempo.lapse))
if(tempo.cor < cor.limit){
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warn.count <- warn.count + 1
tempo.warn <- paste0("(", warn.count,") FROM FUNCTION ", function.name, ": THE FIRST FOR & WHILE LOOP STEPS HAVE BEEN TOO FAR AND SUBSEQUENT LOOP STEPS WILL NOT RUN")
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warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n\n", tempo.warn)))
}
# end going out of tempo.cor == cor.ini
# estimation of the average correlation decrease per loop on x loops and for loop execution
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "WHILE/FOR LOOPS INITIATION | LOOP COUNT: ", format(count, big.mark=","), " | CORRELATION LIMIT: ", fun_round(cor.limit, 4), " | ABS TEMPO CORRELATION: ", fun_round(tempo.cor, 4)))
count.est <- 1e5
first.round <- TRUE
GOBACK <- FALSE
while(tempo.cor > cor.limit){
round <- round + 1
# estimation step
if(first.round == TRUE){
first.round <- FALSE
cor.dec.per.loop <- numeric(length = 5)
loop.nb.est <- Inf
cor.est.ini <- tempo.cor
cor.est <- numeric(length = 5)
for(i6 in 1:5){ # connected to cor.dec.per.loop
tempo.pos.est <- tempo.pos
pos <- sample.int(n = pos.selec.seq.max , size = count.est, replace = TRUE) # selection of n position
for(i7 in 1:count.est){
pos2 <- pos[i7] # selection of 1 position
tempo.pos.est[c(pos2 + 1, pos2)] <- tempo.pos.est[c(pos2, pos2 + 1)]
}
tempo.cor.est <- abs(cor(x = data1[tempo.pos.est], y = data2, use = "pairwise.complete.obs", method = cor.method))
cor.est[i6] <- tempo.cor.est
tempo.cor.dec.per.loop <- (cor.est.ini - tempo.cor.est) / count.est # correlation decrease per loop
if(is.na(tempo.cor.dec.per.loop) | ! is.finite(tempo.cor.dec.per.loop)){
tempo.cat <- paste0("\n\n============\n\nERROR IN ", function.name, ": CODE INCONSISTENCY 2\ncor.est.ini: ", cor.est.ini, "\ntempo.cor.est: ", tempo.cor.est, "\n\n============\n\n")
stop(tempo.cat, call. = FALSE)
}
cor.dec.per.loop[i6] <- tempo.cor.dec.per.loop
}
cor.est <- cor.est[which.max(cor.dec.per.loop)] # max to avoid to go to far with for loop (tempo.cor below tempo.limit)
cor.dec.per.loop <- max(cor.dec.per.loop, na.rm = TRUE) # max to avoid to go to far with for loop (tempo.cor below tempo.limit)
loop.nb.est <- round((tempo.cor - cor.limit) / cor.dec.per.loop)
}else{
if(GOBACK == TRUE){
loop.nb.est <- round(loop.nb.est / 2)
}else{
cor.dec.per.loop <- (cor.ini - tempo.cor) / count
loop.nb.est <- round((tempo.cor - cor.limit) / cor.dec.per.loop)
}
}
# end estimation step
# loop step
if(is.na(loop.nb.est) | ! is.finite(loop.nb.est)){
tempo.cat <- paste0("\n\n============\n\nERROR IN ", function.name, ": CODE INCONSISTENCY 1\nloop.nb.est: ", loop.nb.est, "\ncor.ini: ", cor.ini, "\ntempo.cor: ", tempo.cor, "\ncor.limit: ", cor.limit, "\ncor.dec.per.loop: ", cor.dec.per.loop, "\n\n============\n\n")
stop(tempo.cat, call. = FALSE)
}else if(loop.nb.est > 1e4){ # below -> leave the while loop
tempo.pos.secu <- tempo.pos
count.secu <- count
tempo.cor.secu <- tempo.cor
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "INITIAL SETTINGS BEFORE ROUND: ", round, " | LOOP COUNT: ", format(count, big.mark=","), " | GO BACK: ", GOBACK, " | LOOP NUMBER ESTIMATION: ", format(loop.nb.est, big.mark=","), " | CORRELATION LIMIT: ", fun_round(cor.limit, 4), " | ABS TEMPO CORRELATION: ", fun_round(tempo.cor, 4)))
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print.count.loop <- logical(length = print.count)
print.count.loop[length(print.count.loop)] <- TRUE # not this to avoid long vector, but not forget to reset during printing: print.count.loop[(1:trunc(n / print.count) * print.count)] <- TRUE # counter to speedup
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count.loop <- 0
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pos <- sample.int(n = pos.selec.seq.max , size = print.count, replace = TRUE) # selection of random positions. BEWARE: n = pos.selec.seq.max because already - 1 (see above) but is connected to tempo.pos[c(pos2 + 1, pos2)] <- tempo.pos[c(pos2, pos2 + 1)]
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tempo.date.loop <- Sys.time()
tempo.time.loop <- as.numeric(tempo.date.loop)
for(i6 in 1:loop.nb.est){
count.loop <- count.loop + 1
pos2 <- pos[count.loop] # selection of 1 position
tempo.pos[c(pos2 + 1, pos2)] <- tempo.pos[c(pos2, pos2 + 1)]
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if(print.count.loop[count.loop]){
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count.loop <- 0
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pos <- sample.int(n = pos.selec.seq.max , size = print.count, replace = TRUE) # BEWARE: never forget to resample here
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tempo.time <- as.numeric(Sys.time())
tempo.lapse <- round(lubridate::seconds_to_period(tempo.time - tempo.time.loop))
final.loop <- (tempo.time - tempo.time.loop) / i6 * loop.nb.est # intra nb.compar loop lapse: time lapse / cycles done * cycles remaining
final.exp <- as.POSIXct(final.loop, origin = tempo.date.loop)
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "FOR LOOP | ROUND ", round, " | LOOP: ", format(i6, big.mark=","), " / ", format(loop.nb.est, big.mark=","), " | TIME SPENT: ", tempo.lapse, " | EXPECTED END: ", final.exp))
}
}
count <- count + loop.nb.est # out of the loop to speedup
tempo.cor <- abs(cor(x = data1[tempo.pos], y = data2, use = "pairwise.complete.obs", method = cor.method))
if(tempo.cor > tempo.cor.secu | ((tempo.cor - cor.limit) < 0 & abs(tempo.cor - cor.limit) > smallest.cor.dec * round(log10(max(ini.pos, na.rm = TRUE))))){
GOBACK <- TRUE
tempo.pos <- tempo.pos.secu
count <- count.secu
tempo.cor <- tempo.cor.secu
}else{
GOBACK <- FALSE
}
}else{
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "FINAL WHILE LOOP | LOOP COUNT: ", format(count, big.mark=","), " | CORRELATION LIMIT: ", fun_round(cor.limit, 4), " | ABS TEMPO CORRELATION: ", fun_round(tempo.cor, 4)))
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print.count.loop <- logical(length = print.count)
print.count.loop[length(print.count.loop)] <- TRUE # counter to speedup
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count.loop <- 0 # 
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pos <- sample.int(n = pos.selec.seq.max , size = print.count, replace = TRUE) # selection of random positions. BEWARE: n = pos.selec.seq.max because already - 1 (see above) but is connected to tempo.pos[c(pos2 + 1, pos2)] <- tempo.pos[c(pos2, pos2 + 1)]
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tempo.cor.loop <- tempo.cor
tempo.date.loop <- Sys.time()
tempo.time.loop <- as.numeric(tempo.date.loop)
while(tempo.cor > cor.limit){
count <- count + 1
count.loop <- count.loop + 1
pos2 <- pos[count.loop]
tempo.pos[c(pos2 + 1, pos2)] <- tempo.pos[c(pos2, pos2 + 1)]
tempo.cor <- abs(cor(x = data1[tempo.pos], y = data2, use = "pairwise.complete.obs", method = cor.method))
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if(print.count.loop[count.loop]){
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count.loop <- 0
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pos <- sample.int(n = pos.selec.seq.max , size = print.count, replace = TRUE) # BEWARE: never forget to resample here
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tempo.time <- as.numeric(Sys.time())
tempo.lapse <- round(lubridate::seconds_to_period(tempo.time - tempo.time.loop))
final.loop <- (tempo.time - tempo.time.loop) / (tempo.cor.loop - tempo.cor) * (tempo.cor - cor.limit) # tempo.cor.loop - tempo.cor always positive and tempo.cor decreases progressively starting from tempo.cor.loop
final.exp <- as.POSIXct(final.loop, origin = tempo.date.loop)
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "WHILE LOOP | LOOP NB: ", format(count.loop, big.mark=","), " | COUNT: ", format(count, big.mark=","), " | CORRELATION LIMIT: ", fun_round(cor.limit, 4), " | ABS TEMPO CORRELATION: ", fun_round(tempo.cor, 4), " | TIME SPENT: ", tempo.lapse, " | EXPECTED END: ", final.exp))
}
}
}
}
tempo.time <- as.numeric(Sys.time())
tempo.lapse <- round(lubridate::seconds_to_period(tempo.time - ini.time))
cat(paste0("\n", ifelse(text.print == "", "", paste0(text.print, " | ")), "WHILE/FOR LOOPS END | LOOP COUNT: ", format(count, big.mark=","), " | NB OF ROUNDS: ", round, " | CORRELATION LIMIT: ", fun_round(cor.limit, 4), " | ABS TEMPO CORRELATION: ", fun_round(tempo.cor, 4), " | TOTAL SPENT TIME: ", tempo.lapse))
}
tempo.cor <- ifelse(neg.cor == TRUE, -tempo.cor, tempo.cor)
}
}
cat("\n\n")
if(warn.print == TRUE & ! is.null(warn)){
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warning(warn, call. = FALSE)
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cat("\n\n")
}
output <- list(data = data1[tempo.pos], warn = warn, cor = if(is.null(data2)){cor(ini.pos, tempo.pos, method = "spearman")}else{tempo.cor}, count = count)
return(output)
}


################ Graphics management


# this order can be used:
# fun_width()
# fun_open()
# fun_prior_plot() # not for ggplot2
# plot() or any other plotting
# fun_post_plot() if fun_prior_plot() has been used # not for ggplot2
# fun_close()


######## fun_width() #### window width depending on classes to plot


# Check OK: clear to go Apollo
fun_width <- function(class.nb, inches.per.class.nb = 1, ini.window.width = 7, inch.left.space, inch.right.space, boundarie.space = 0.5){
# AIM
# rescale the width of a window to open depending on the number of classes to plot
# can be used for height, considering that it is as if it was a width
# this order can be used:
# fun_width()
# fun_open()
# fun_prior_plot() # not for ggplot2
# plot() or any other plotting
# fun_post_plot() if fun_prior_plot() has been used # not for ggplot2
# fun_close()
# REQUIRED FUNCTIONS FROM CUTE_LITTLE_R_FUNCTION
# fun_check()
# ARGUMENTS
# class.nb: number of class to plot
# inches.per.class.nb: number of inches per unit of class.nb. 2 means 2 inches for each boxplot for instance
# ini.window.width:initial window width in inches
# inch.left.space: left horizontal margin of the figure region (in inches)
# inch.right.space: right horizontal margin of the figure region (in inches)
# boundarie.space: space between the right and left limits of the plotting region and the plot (0.5 means half a class width)
# RETURN
# the new window width in inches
# EXAMPLES
# fun_width(class.nb = 10, inches.per.class.nb = 0.2, ini.window.width = 7, inch.left.space = 1, inch.right.space = 1, boundarie.space = 0.5)
# DEBUGGING
# class.nb = 10 ; inches.per.class.nb = 0.2 ; ini.window.width = 7 ; inch.left.space = 1 ; inch.right.space = 1 ; boundarie.space = 0.5 # for function debugging
# function name
function.name <- paste0(as.list(match.call(expand.dots=FALSE))[[1]], "()")
# end function name
# required function checking
if(length(utils::find("fun_check", mode = "function")) == 0){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, ": REQUIRED fun_check() FUNCTION IS MISSING IN THE R ENVIRONMENT\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
# end required function checking
# 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))
tempo <- fun_check(data = class.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 = inches.per.class.nb, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = ini.window.width, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = inch.left.space, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = inch.right.space, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = boundarie.space, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
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 argument checking
# main code
range.max <- class.nb + boundarie.space # the max range of the future plot
range.min <- boundarie.space # the min range of the future plot
window.width <- inch.left.space + inch.right.space + inches.per.class.nb * (range.max - range.min)
return(window.width)
}


######## fun_open() #### open a GUI or pdf graphic window


# Check OK: clear to go Apollo
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fun_open <- function(pdf.disp = TRUE, fun.path = "working.dir", pdf.name.file = "graph", width.fun = 7, height.fun = 7, paper = "special", no.pdf.overwrite = TRUE, remove.read.only = TRUE, return.output = FALSE){
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# AIM
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# open a pdf or screen (GUI) graphic window and return initial graphic parameters
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# this order can be used:
# fun_width()
# fun_open()
# fun_prior_plot() # not for ggplot2
# plot() or any other plotting
# fun_post_plot() if fun_prior_plot() has been used # not for ggplot2
# fun_close()
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#WARNING
# On Linux, use pdf.disp = TRUE, if (GUI) graphic window is not always available, meaning that X is not installed (clusters for instance). Use X11() in R to test if available
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# REQUIRED FUNCTIONS FROM CUTE_LITTLE_R_FUNCTION
# fun_check()
# ARGUMENTS:
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# pdf.disp: logical. Use pdf display?
# fun.path: where the pdf is saved (do not terminate by / or \\). Write "working.dir" if working directory is required (default). Ignored if pdf.disp == FALSE
# pdf.name.file: name of the pdf file containing the graphs (the .pdf extension is added by the function). Ignored if pdf.disp == FALSE
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# width.fun: width of the window (in inches)
# height.fun: height of the window (in inches)
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# paper: paper argument of the pdf function (paper format). Only used for pdf(). Either "a4", "letter", "legal", "us", "executive", "a4r", "USr" or "special". If "special", means that the paper dimension will be width.fun and height.fun. With another paper format, if width.fun or height.fun is over the size of the paper, width.fun or height.fun will be modified such that the plot is adjusted to the paper dimension (see $dim in the returned list below to see the modified dimensions). Ignored if pdf.disp == FALSE
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# no.pdf.overwrite: logical. Existing pdf can be overwritten? . Ignored if pdf.disp == FALSE
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# remove.read.only: logical. remove the read only (R.O.) graphical parameters? If TRUE, the graphical parameters are  returned without the R.O. parameters. The returned $ini.par list can be used to set the par() of a new graphical device. If FALSE, graphical parameters are returned with the R.O. parameters, which provides information like text dimension (see ?par() ). The returned $ini.par list can be used to set the par() of a new graphical device, but generate a warning message. Ignored if return.output == FALSE. 
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# return.output: logical. Return output ? If TRUE but function not assigned, the output list is displayed
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# RETURN
# a list containing:
# $pdf.loc: path of the pdf created
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# $ini.par: initial par() parameters
# $zone.ini: initial window spliting
# $dim: dimension of the graphical device (in inches)
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# EXAMPLES
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# fun_open(pdf.disp = FALSE, fun.path = "C:/Users/Gael/Desktop", pdf.name.file = "graph", width.fun = 7, height.fun = 7, paper = "special", no.pdf.overwrite = TRUE, return.output = TRUE)
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# DEBUGGING
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# pdf.disp = TRUE ; fun.path = "C:/Users/Gael/Desktop" ; pdf.name.file = "graphs" ; width.fun = 7 ; height.fun = 7 ; paper = "special" ; no.pdf.overwrite = TRUE ; remove.read.only = TRUE ; return.output = TRUE # for function debugging
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# function name
function.name <- paste0(as.list(match.call(expand.dots=FALSE))[[1]], "()")
# end function name
# required function checking
if(length(utils::find("fun_check", mode = "function")) == 0){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, ": REQUIRED fun_check() FUNCTION IS MISSING IN THE R ENVIRONMENT\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
# end required function checking
# argument checking
arg.check <- NULL #
text.check <- NULL #
checked.arg.names <- NULL # for function debbuging: used by r_debugging_tools
ee <- expression(arg.check <- c(arg.check, tempo$problem) , text.check <- c(text.check, tempo$text) , checked.arg.names <- c(checked.arg.names, tempo$fun.name))
tempo <- fun_check(data = pdf.disp, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
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if( ! is.null(fun.path)){
tempo <- fun_check(data = fun.path, class = "vector", mode = "character", fun.name = function.name) ; eval(ee)
}
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tempo <- fun_check(data = fun.path, class = "character", length = 1, fun.name = function.name) ; eval(ee)
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tempo <- fun_check(data = pdf.name.file, class = "character", length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = width.fun, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = height.fun, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = paper, options = c("a4", "letter", "legal", "us", "executive", "a4r", "USr", "special", "A4", "LETTER", "LEGAL", "US"), length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data =no.pdf.overwrite, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
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tempo <- fun_check(data = remove.read.only, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
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tempo <- fun_check(data = return.output, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
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 argument checking
# main code
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if(fun.path == "working.dir"){
fun.path <- getwd()
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}else{
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if(grepl(x = fun.path, pattern = ".+/$")){
fun.path <- substr(fun.path, 1, nchar(fun.path) - 1) # remove the last /
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}
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if(dir.exists(fun.path) == FALSE){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, ": fun.path ARGUMENT DOES NOT CORRESPOND TO EXISTING DIRECTORY\n\n================\n\n")
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stop(tempo.cat, call. = FALSE)
}
}
# par.ini recovery
# cannot use pdf(file = NULL), because some small differences between pdf() and other devices. For instance, differences with windows() for par()$fin, par()$pin and par()$plt
if(Sys.info()["sysname"] == "Windows"){ # Note that .Platform$OS.type() only says "unix" for macOS and Linux and "Windows" for Windows
open.fail <- NULL
windows()
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ini.par <- par(no.readonly = remove.read.only) # to recover the initial graphical parameters if required (reset). BEWARE: this command alone opens a pdf of GUI window if no window already opened. But here, protected with the code because always a tempo window opened
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invisible(dev.off()) # close the new window
}else if(Sys.info()["sysname"] == "Linux"){
if(pdf.disp == TRUE){
tempo.code <- 0
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while(file.exists(paste0(fun.path, "/recover_ini_par", tempo.code, ".pdf")) == TRUE){
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tempo.code <- tempo.code + 1
}
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pdf(width = width.fun, height = height.fun, file=paste0(fun.path, "/recover_ini_par", tempo.code, ".pdf"), paper = paper)
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ini.par <- par(no.readonly = remove.read.only) # to recover the initial graphical parameters if required (reset). BEWARE: this command alone opens a pdf of GUI window if no window already opened. But here, protected with the code because always a tempo window opened
invisible(dev.off()) # close the pdf window
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file.remove(paste0(fun.path, "/recover_ini_par", tempo.code, ".pdf")) # remove the pdf file
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}else{
# test if X11 can be opened
if(file.exists(paste0(getwd(), "/Rplots.pdf"))){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, ": THIS FUNCTION CANNOT BE USED ON LINUX IF A Rplots.pdf FILE ALREADY EXISTS HERE: ", getwd(), "\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}else{
open.fail <- suppressWarnings(try(X11(), silent = TRUE))[] # try to open a X11 window. If open.fail == NULL, no problem, meaning that the X11 window is opened. If open.fail != NULL, a pdf can be opened here paste0(getwd(), "/Rplots.pdf")
if(is.null(open.fail)){
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ini.par <- par(no.readonly = remove.read.only) # to recover the initial graphical parameters if required (reset). BEWARE: this command alone opens a pdf of GUI window if no window already opened. But here, protected with the code because always a tempo window opened
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invisible(dev.off()) # close the new window
}else if(file.exists(paste0(getwd(), "/Rplots.pdf"))){
file.remove(paste0(getwd(), "/Rplots.pdf")) # remove the pdf file
tempo.cat <- ("\n\n================\n\nPROBLEM IN fun_open(): THIS FUNCTION CANNOT OPEN GUI ON LINUX OR NON MACOS UNIX SYSTEM (X GRAPHIC INTERFACE HAS TO BE SET).\nTO OVERCOME THIS, PLEASE SET pdf.disp ARGUMENT TO TRUE AND RERUN\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
}
}
}else{
open.fail <- NULL
quartz()
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ini.par <- par(no.readonly = remove.read.only) # to recover the initial graphical parameters if required (reset). BEWARE: this command alone opens a pdf of GUI window if no window already opened. But here, protected with the code because always a tempo window opened
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invisible(dev.off()) # close the new window
}
# end par.ini recovery 
zone.ini <- matrix(1, ncol=1) # to recover the initial parameters for next figure region when device region split into several figure regions
if(pdf.disp == TRUE){
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pdf.loc <- paste0(fun.path, "/", pdf.name.file, ".pdf")
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if(file.exists(pdf.loc) == TRUE & no.pdf.overwrite == TRUE){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, ": pdf.loc FILE ALREADY EXISTS AND CANNOT BE OVERWRITTEN DUE TO no.pdf.overwrite ARGUMENT SET TO TRUE: ", pdf.loc, "\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}else{
pdf(width = width.fun, height = height.fun, file=pdf.loc, paper = paper)
}
}else if(pdf.disp == FALSE){
pdf.loc <- NULL
if(Sys.info()["sysname"] == "Windows"){ # .Platform$OS.type() only says "unix" for macOS and Linux and "Windows" for Windows
windows(width = width.fun, height = height.fun, rescale="fixed")
}else if(Sys.info()["sysname"] == "Linux"){
if( ! is.null(open.fail)){
tempo.cat <- "\n\n================\n\nPROBLEM IN fun_open(): THIS FUNCTION CANNOT OPEN GUI ON LINUX OR NON MACOS UNIX SYSTEM (X GRAPHIC INTERFACE HAS TO BE SET).\nTO OVERCOME THIS, PLEASE SET pdf.disp ARGUMENT TO TRUE AND RERUN\n\n================\n\n"
stop(tempo.cat, call. = FALSE)
}else{
X11(width = width.fun, height = height.fun)
}
}else{
quartz(width = width.fun, height = height.fun)
}
}
if(return.output == TRUE){
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output <- list(pdf.loc = pdf.loc, ini.par = ini.par, zone.ini = zone.ini, dim = dev.size())
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return(output)
}
}


######## fun_prior_plot() #### set graph param before plotting (erase axes for instance)


# Check OK: clear to go Apollo
fun_prior_plot <- function(param.reinitial = FALSE, xlog.scale = FALSE, ylog.scale = FALSE, remove.label = TRUE, remove.x.axis = TRUE, remove.y.axis = TRUE, std.x.range = TRUE, std.y.range = TRUE, down.space = 1, left.space = 1, up.space = 1, right.space = 1, orient = 1, dist.legend = 3.5, tick.length = 0.5, box.type = "n", amplif.label = 1, amplif.axis = 1, display.extend = FALSE, return.par = FALSE){
# AIM
# very convenient to erase the axes for post plot axis redrawing using fun_post_plot()
# reinitialize and set the graphic parameters before plotting
# CANNOT be used if no graphic device already opened
# REQUIRED FUNCTIONS FROM CUTE_LITTLE_R_FUNCTION
# fun_check()
# ARGUMENTS
# param.reinitial: reinitialize graphic parameters before applying the new ones, as defined by the other arguments? Either TRUE or FALSE
# xlog.scale: Log scale for the x-axis? Either TRUE or FALSE. If TRUE, erases the x-axis, except legend, for further drawing by fun_post_plot()(xlog argument of par())
# ylog.scale: Log scale for the y-axis? Either TRUE or FALSE. If TRUE, erases the y-axis, except legend, for further drawing by fun_post_plot()(ylog argument of par())
# remove.label: remove labels (axis legend) of the two axes? Either TRUE or FALSE (ann argument of par())
# remove.x.axis: remove x-axis except legend? Either TRUE or FALSE (control the xaxt argument of par()). Automately set to TRUE if xlog.scale == TRUE
# remove.y.axis: remove y-axis except legend? Either TRUE or FALSE (control the yaxt argument of par()). Automately set to TRUE if ylog.scale == TRUE
# std.x.range: standard range on the x-axis? TRUE (no range extend) or FALSE (4% range extend). Controls xaxs argument of par() (TRUE is xaxs = "i", FALSE is xaxs = "r")
# std.y.range: standard range on the y-axis? TRUE (no range extend) or FALSE (4% range extend). Controls yaxs argument of par() (TRUE is yaxs = "i", FALSE is yaxs = "r")
# down.space: lower vertical margin (in inches, mai argument of par())
# left.space: left horizontal margin (in inches, mai argument of par())
# up.space: upper vertical margin between plot region and grapical window (in inches, mai argument of par())
# right.space: right horizontal margin (in inches, mai argument of par())
# orient: scale number orientation (las argument of par()). 0, always parallel to the axis; 1, always horizontal; 2, always perpendicular to the axis; 3, always vertical
# dist.legend: numeric value that moves axis legends away in inches (first number of mgp argument of par() but in inches thus / 0.2)
# tick.length: length of the ticks (1 means complete the distance between the plot region and the axis numbers, 0.5 means half the length, etc. 0 means no tick
# box.type: bty argument of par(). Either "o", "l", "7", "c", "u", "]", the resulting box resembles the corresponding upper case letter. A value of "n" suppresses the box
# amplif.label: increase or decrease the size of the text in legends
# amplif.axis: increase or decrease the size of the scale numbers in axis
# display.extend: extend display beyond plotting region? Either TRUE or FALSE (xpd argument of par() without NA)
# return.par: return graphic parameter modification?
# RETURN
# return graphic parameter modification
# EXAMPLES
# fun_prior_plot(param.reinitial = FALSE, xlog.scale = FALSE, ylog.scale = FALSE, remove.label = TRUE, remove.x.axis = TRUE, remove.y.axis = TRUE, std.x.range = TRUE, std.y.range = TRUE, down.space = 1, left.space = 1, up.space = 1, right.space = 1, orient = 1, dist.legend = 4.5, tick.length = 0.5, box.type = "n", amplif.label = 1, amplif.axis = 1, display.extend = FALSE, return.par = FALSE)
# DEBUGGING
# param.reinitial = FALSE ; xlog.scale = FALSE ; ylog.scale = FALSE ; remove.label = TRUE ; remove.x.axis = TRUE ; remove.y.axis = TRUE ; std.x.range = TRUE ; std.y.range = TRUE ; down.space = 1 ; left.space = 1 ; up.space = 1 ; right.space = 1 ; orient = 1 ; dist.legend = 4.5 ; tick.length = 0.5 ; box.type = "n" ; amplif.label = 1 ; amplif.axis = 1 ; display.extend = FALSE ; return.par = FALSE # for function debugging
# function name
function.name <- paste0(as.list(match.call(expand.dots=FALSE))[[1]], "()")
# end function name
# required function checking
if(length(utils::find("fun_check", mode = "function")) == 0){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, ": REQUIRED fun_check() FUNCTION IS MISSING IN THE R ENVIRONMENT\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
# end required function checking
# 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))
tempo <- fun_check(data = param.reinitial, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = xlog.scale, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = ylog.scale, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = remove.label, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = remove.x.axis, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = remove.y.axis, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = std.x.range, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = std.y.range, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = down.space, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = left.space, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = up.space, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = right.space, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = orient, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = dist.legend, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = tick.length, class = "vector", mode = "numeric", length = 1, prop = TRUE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = box.type, options = c("o", "l", "7", "c", "u", "]", "n"), length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = amplif.label, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = amplif.axis, class = "vector", mode = "numeric", length = 1, neg.values = FALSE, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = display.extend, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
tempo <- fun_check(data = return.par, class = "logical", length = 1, fun.name = function.name) ; eval(ee)
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 argument checking
# main code
if(is.null(dev.list())){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, ": THIS FUNCTION CANNOT BE USED IF NO GRAPHIC DEVICE ALREADY OPENED (dev.list() IS CURRENTLY NULL)\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
# par.ini recovery
# cannot use pdf(file = NULL), because some small differences between pdf() and other devices. For instance, differences with windows() for par()$fin, par()$pin and par()$plt
if(param.reinitial == TRUE){
if( ! all(names(dev.cur()) == "null device")){
active.wind.nb <- dev.cur()
}else{
active.wind.nb <- 0
}
if(Sys.info()["sysname"] == "Windows"){ # Note that .Platform$OS.type() only says "unix" for macOS and Linux and "Windows" for Windows
windows()
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ini.par <- par(no.readonly = FALSE) # to recover the initial graphical parameters if required (reset). BEWARE: this command alone opens a pdf of GUI window if no window already opened. But here, protected with the code because always a tempo window opened
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invisible(dev.off()) # close the new window
}else if(Sys.info()["sysname"] == "Linux"){
if(file.exists(paste0(getwd(), "/Rplots.pdf"))){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, ": THIS FUNCTION CANNOT BE USED ON LINUX WITH param.reinitial SET TO TRUE IF A Rplots.pdf FILE ALREADY EXISTS HERE: ", getwd(), "\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}else{
open.fail <- suppressWarnings(try(X11(), silent = TRUE))[] # try to open a X11 window. If open.fail == NULL, no problem, meaning that the X11 window is opened. If open.fail != NULL, a pdf can be opened here paste0(getwd(), "/Rplots.pdf")
if(is.null(open.fail)){
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ini.par <- par(no.readonly = FALSE) # to recover the initial graphical parameters if required (reset). BEWARE: this command alone opens a pdf of GUI window if no window already opened. But here, protected with the code because always a tempo window opened
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invisible(dev.off()) # close the new window
}else if(file.exists(paste0(getwd(), "/Rplots.pdf"))){
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ini.par <- par(no.readonly = FALSE) # to recover the initial graphical parameters if required (reset). BEWARE: this command alone opens a pdf of GUI window if no window already opened. But here, protected with the code because always a tempo window opened
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invisible(dev.off()) # close the new window
file.remove(paste0(getwd(), "/Rplots.pdf")) # remove the pdf file
}else{
tempo.cat <- ("\n\n================\n\nPROBLEM IN fun_prior_plot(): THIS FUNCTION CANNOT OPEN GUI ON LINUX OR NON MACOS UNIX SYSTEM (X GRAPHIC INTERFACE HAS TO BE SET).\nTO OVERCOME THIS, PLEASE USE PDF GRAPHIC INTERFACES AND RERUN\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
}
}else{ # macOS
quartz()
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ini.par <- par(no.readonly = FALSE) # to recover the initial graphical parameters if required (reset). BEWARE: this command alone opens a pdf of GUI window if no window already opened. But here, protected with the code because always a tempo window opened)
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invisible(dev.off()) # close the new window
}
if( ! all(names(dev.cur()) == "null device")){
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dev.set(active.wind.nb) # go back to the active window if exists
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par(ini.par) # apply the initial par to current window
}
}
# end par.ini recovery
if(remove.x.axis == TRUE){
par(xaxt = "n") # suppress the y-axis label
}else{
par(xaxt = "s")
}
if(remove.y.axis == TRUE){
par(yaxt = "n") # suppress the y-axis label
}else{
par(yaxt = "s")
}
if(std.x.range == TRUE){
par(xaxs = "i")
}else{
par(xaxs = "r")
}
if(std.y.range == TRUE){
par(yaxs = "i")
}else{
par(yaxs = "r")
}
par(mai = c(down.space, left.space, up.space, right.space), ann = ! remove.label, las = orient, mgp = c(dist.legend/0.2, 1, 0), xpd = display.extend, bty= box.type, cex.lab = amplif.label, cex.axis = amplif.axis)
par(tcl = -par()$mgp[2] * tick.length) # tcl gives the length of the ticks as proportion of line text, knowing that mgp is in text lines. So the main ticks are a 0.5 of the distance of the axis numbers by default. The sign provides the side of the tick (negative for outside of the plot region)
if(xlog.scale == TRUE){
par(xaxt = "n", xlog = TRUE) # suppress the x-axis label
}else{
par(xlog = FALSE)
}
if(ylog.scale == TRUE){
par(yaxt = "n", ylog = TRUE) # suppress the y-axis label
}else{
par(ylog = FALSE)
}
if(return.par == TRUE){
tempo.par <- par()
return(tempo.par)
}
}


######## fun_scale() #### select nice label numbers when setting number of ticks on an axis


 


# Check OK: clear to go Apollo
fun_scale <- function(n, lim, kind = "approx", lib.path = NULL){
# AIM
# attempt to select nice scale numbers when setting n ticks on a lim axis range
# ARGUMENTS
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# n: desired number of main ticks on the axis (integer above 0)
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# lim: vector of 2 numbers indicating the limit range of the axis. Order of the 2 values matters (for inverted axis). Can be log transformed values
# kind: either "approx" (approximative), "strict" (strict) or "strict.cl" (strict clean). If "approx", use the scales::trans_breaks() function to provide an easy to read scale of approximately n ticks spanning the range of the lim argument. If "strict", cut the range of the lim argument into n + 1 equidistant part and return the n numbers at each boundary. This often generates numbers uneasy to read. If "strict.cl", provide an easy to read scale of exactly n ticks, but sometimes not completely spanning the range of the lim argument
# lib.path: absolute path of the required packages, if not in the default folders
# REQUIRED PACKAGES
# if kind = "approx":
# ggplot2
# scales
# REQUIRED FUNCTIONS FROM CUTE_LITTLE_R_FUNCTION
# fun_check()
# fun_round()
# RETURN
# a vector of numbers
# EXAMPLES
# approximate number of main ticks
# ymin = 2 ; ymax = 3.101 ; n = 5 ; scale <- fun_scale(n = n, lim = c(ymin, ymax), kind = "approx") ; scale ; par(yaxt = "n", yaxs = "i", las = 1) ; plot(ymin:ymax, ymin:ymax, xlim = range(scale, ymin, ymax)[order(c(ymin, ymax))], ylim = range(scale, ymin, ymax)[order(c(ymin, ymax))], xlab = "DEFAULT SCALE", ylab = "NEW SCALE") ; par(yaxt = "s") ; axis(side = 2, at = scale)
# strict number of main ticks
# ymin = 2 ; ymax = 3.101 ; n = 5 ; scale <- fun_scale(n = n, lim = c(ymin, ymax), kind = "strict") ; scale ; par(yaxt = "n", yaxs = "i", las = 1) ; plot(ymin:ymax, ymin:ymax, xlim = range(scale, ymin, ymax)[order(c(ymin, ymax))], ylim = range(scale, ymin, ymax)[order(c(ymin, ymax))], xlab = "DEFAULT SCALE", ylab = "NEW SCALE") ; par(yaxt = "s") ; axis(side = 2, at = scale)
# strict "clean" number of main ticks
# ymin = 2 ; ymax = 3.101 ; n = 5 ; scale <- fun_scale(n = n, lim = c(ymin, ymax), kind = "strict.cl") ; scale ; par(yaxt = "n", yaxs = "i", las = 1) ; plot(ymin:ymax, ymin:ymax, xlim = range(scale, ymin, ymax)[order(c(ymin, ymax))], ylim = range(scale, ymin, ymax)[order(c(ymin, ymax))], xlab = "DEFAULT SCALE", ylab = "NEW SCALE") ; par(yaxt = "s") ; axis(side = 2, at = scale)
# approximate number of main ticks, scale inversion
# ymin = 3.101 ; ymax = 2 ; n = 5 ; scale <- fun_scale(n = n, lim = c(ymin, ymax), kind = "approx") ; scale ; par(yaxt = "n", yaxs = "i", las = 1) ; plot(ymin:ymax, ymin:ymax, xlim = range(scale, ymin, ymax)[order(c(ymin, ymax))], ylim = range(scale, ymin, ymax)[order(c(ymin, ymax))], xlab = "DEFAULT SCALE", ylab = "NEW SCALE") ; par(yaxt = "s") ; axis(side = 2, at = scale)
# DEBUGGING
# n = 9 ; lim = c(2, 3.101) ; kind = "approx" ; lib.path = NULL # for function debugging
# n = 10 ; lim = c(1e-4, 1e6) ; kind = "approx" ; lib.path = NULL # for function debugging
# function name
function.name <- paste0(as.list(match.call(expand.dots=FALSE))[[1]], "()")
# end function name
# end initial argument checking
# required function checking
if(length(utils::find("fun_check", mode = "function")) == 0){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, ": REQUIRED fun_check() FUNCTION IS MISSING IN THE R ENVIRONMENT\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
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if(length(utils::find("fun_round", mode = "function")) == 0){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, ": REQUIRED fun_round() FUNCTION IS MISSING IN THE R ENVIRONMENT\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
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# end required function checking
# 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$fun.name))
tempo <- fun_check(data = n, class = "vector", typeof = "integer", length = 1, double.as.integer.allowed = TRUE, neg.values = FALSE, fun.name = function.name) ; eval(ee)
if(tempo$problem == FALSE & isTRUE(all.equal(n, 0))){ # isTRUE(all.equal(n, 0)) equivalent to n == 0 but deals with floats (approx ok)
tempo.cat <- paste0("ERROR IN ", function.name, ": n ARGUMENT MUST BE A NON NULL AND POSITIVE INTEGER")
text.check <- c(text.check, tempo.cat)
arg.check <- c(arg.check, TRUE) # 
}
tempo <- fun_check(data = lim, class = "vector", mode = "numeric", length = 2, fun.name = function.name) ; eval(ee)
if(tempo$problem == FALSE & all(diff(lim) == 0)){ # isTRUE(all.equal(diff(lim), rep(0, length(diff(lim))))) not used because we strictly need zero as a result
tempo.cat <- paste0("ERROR IN ", function.name, ": lim ARGUMENT HAS A NULL RANGE (2 IDENTICAL VALUES)")
text.check <- c(text.check, tempo.cat)
arg.check <- c(arg.check, TRUE)
}else if(tempo$problem == FALSE & any(lim %in% c(Inf, -Inf))){
tempo.cat <- paste0("ERROR IN ", function.name, ": 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 = kind, options = c("approx", "strict", "strict.cl"), 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)
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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"))
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text.check <- c(text.check, tempo.cat)
arg.check <- c(arg.check, TRUE)
}
}
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}
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if(any(arg.check) == TRUE){
stop(paste0("\n\n================\n\n", paste(text.check[arg.check], collapse = "\n"), "\n\n================\n\n"), call. = FALSE) #
}
# end argument checking with fun_check()
# 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 checking
# main code
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lim.rank <- rank(lim) # to deal with inverted axis
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lim <- sort(lim)
if(kind == "approx"){
# package checking
fun_pack(req.package = c("ggplot2"), lib.path = lib.path)
fun_pack(req.package = c("scales"), lib.path = lib.path)
# end package checking
output <- ggplot2::ggplot_build(ggplot2::ggplot() + ggplot2::scale_y_continuous(
breaks = scales::trans_breaks(
trans = "identity", 
inv = "identity", 
n = n
), 
limits = lim
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))$layout$panel_params[[1]]$y$breaks # pretty() alone is not appropriate: tempo.pret <-  pretty(seq(lim[1] ,lim[2], length.out = n)) ; tempo.pret[tempo.pret > = lim[1] & tempo.pret < = lim[2]]. # in ggplot 3.3.0, tempo.coord$y.major_source replaced by tempo.coord$y$breaks
if( ! is.null(attributes(output))){ # layout$panel_params[[1]]$y$breaks can be characters (labels of the axis). In that case, it has attributes that corresponds to positions
output <- unlist(attributes(output))
}
output <- output[ ! is.na(output)]
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}else if(kind == "strict"){
output <- fun_round(seq(lim[1] ,lim[2], length.out = n), 2)
}else if(kind == "strict.cl"){
tempo.range <- diff(sort(lim))
tempo.max <- max(lim)
tempo.min <- min(lim)
mid <- tempo.min + (tempo.range/2) # middle of axis
tempo.inter <- tempo.range / (n + 1) # current interval between two ticks, between 0 and Inf
if(tempo.inter == 0){ # isTRUE(all.equal(tempo.inter, rep(0, length(tempo.inter)))) not used because we strictly need zero as a result
tempo.cat <- paste0("\n\n============\n\nERROR IN ", function.name, ": THE INTERVAL BETWEEN TWO TICKS OF THE SCALE IS NULL. MODIFY THE lim OR n ARGUMENT\n\n============\n\n")
stop(tempo.cat, call. = FALSE)
}
log10.abs.lim <- 200
log10.range <- (-log10.abs.lim):log10.abs.lim
log10.vec <- 10^log10.range
round.vec <- c(5, 4, 3, 2.5, 2, 1.25, 1)
dec.table <- outer(log10.vec, round.vec) # table containing the scale units (row: power of ten from -201 to +199, column: the 5, 2.5, 2, 1.25, 1 notches

 

# recover the number of leading zeros in tempo.inter
ini.scipen <- options()$scipen
options(scipen = -1000) # force scientific format
if(any(grepl(pattern = "\\+", x = tempo.inter))){ # tempo.inter > 1
power10.exp <- as.integer(substring(text = tempo.inter, first = (regexpr(pattern = "\\+", text = tempo.inter) + 1))) # recover the power of 10. Example recover 08 from 1e+08
mantisse <- as.numeric(substr(x = tempo.inter, start = 1, stop = (regexpr(pattern = "\\+", text = tempo.inter) - 2))) # recover the mantisse. Example recover 1.22 from 1.22e+08
}else if(any(grepl(pattern = "\\-", x = tempo.inter))){ # tempo.inter < 1
power10.exp <- as.integer(substring(text = tempo.inter, first = (regexpr(pattern = "\\-", text = tempo.inter)))) # recover the power of 10. Example recover 08 from 1e+08
mantisse <- as.numeric(substr(x = tempo.inter, start = 1, stop = (regexpr(pattern = "\\-", text = tempo.inter) - 2))) # recover the mantisse. Example recover 1.22 from 1.22e+08
}else{
tempo.cat <- paste0("\n\n============\n\nERROR IN ", function.name, ": CODE INCONSISTENCY 1\n\n============\n\n")
stop(tempo.cat, call. = FALSE)
}
tempo.scale <- dec.table[log10.range == power10.exp, ]
# new interval 
inter.select <- NULL
for(i1 in 1:length(tempo.scale)){
tempo.first.tick <- trunc((tempo.min + tempo.scale[i1]) / tempo.scale[i1]) * (tempo.scale[i1]) # this would be use to have a number not multiple of tempo.scale[i1]: ceiling(tempo.min) + tempo.scale[i1] * 10^power10.exp
tempo.last.tick <- tempo.first.tick + tempo.scale[i1] * (n - 1)
if((tempo.first.tick >= tempo.min) & (tempo.last.tick <= tempo.max)){
inter.select <- tempo.scale[i1]
break()
}
}
if(is.null(inter.select)){
tempo.cat <- paste0("\n\n============\n\nERROR IN ", function.name, ": CODE INCONSISTENCY 2\n\n============\n\n")
stop(tempo.cat, call. = FALSE)
}
options(scipen = ini.scipen) # restore the initial scientific penalty
# end new interval 
# centering the new scale 
tempo.mid <- trunc((mid + (-1:1) * inter.select) / inter.select) * inter.select # tempo middle tick closest to the middle axis
mid.tick <- tempo.mid[which.min(abs(tempo.mid - mid))]
if(isTRUE(all.equal(n, rep(1, length(n))))){ # isTRUE(all.equal(n, rep(1, length(n)))) is similar to n == 1 but deals with float
output <- mid.tick
}else if(isTRUE(all.equal(n, rep(2, length(n))))){ # isTRUE(all.equal(n, rep(0, length(n)))) is similar to n == 2 but deals with float
output <- mid.tick
tempo.min.dist <- mid.tick - inter.select - tempo.min
tempo.max.dist <- tempo.max - mid.tick + inter.select
if(tempo.min.dist <= tempo.max.dist){ # distance between lowest tick and bottom axis <= distance between highest tick and top axis. If yes, extra tick but at the top, otherwise at the bottom
output <- c(mid.tick, mid.tick + inter.select)
}else{
output <- c(mid.tick - inter.select, mid.tick)
}
}else if((n / 2 - trunc(n / 2)) > 0.1){ # > 0.1 to avoid floating point. Because result can only be 0 or 0.5. Thus, > 0.1 means odd number
output <- c(mid.tick - (trunc(n / 2):1) * inter.select, mid.tick, mid.tick + (1:trunc(n / 2)) * inter.select)
}else if((n / 2 - trunc(n / 2)) < 0.1){ # < 0.1 to avoid floating point. Because result can only be 0 or 0.5. Thus, < 0.1 means even number
tempo.min.dist <- mid.tick - trunc(n / 2) * inter.select - tempo.min
tempo.max.dist <- tempo.max - mid.tick + trunc(n / 2) * inter.select
if(tempo.min.dist <= tempo.max.dist){ # distance between lowest tick and bottom axis <= distance between highest tick and top axis. If yes, extra tick but at the bottom, otherwise at the top
output <- c(mid.tick - ((trunc(n / 2) - 1):1) * inter.select, mid.tick, mid.tick + (1:trunc(n / 2)) * inter.select)
}else{
output <- c(mid.tick - (trunc(n / 2):1) * inter.select, mid.tick, mid.tick + (1:(trunc(n / 2) - 1)) * inter.select)
}
}else{
tempo.cat <- paste0("\n\n============\n\nERROR IN ", function.name, ": CODE INCONSISTENCY 3\n\n============\n\n")
stop(tempo.cat, call. = FALSE)
}
# end centering the new scale 
# last check
if(min(output) < tempo.min){
output <- c(output[-1], max(output) + inter.select) # remove the lowest tick and add a tick at the top
}else if( max(output) > tempo.max){
output <- c(min(output) - inter.select, output[-length(output)])
}
if(min(output) < tempo.min | max(output) > tempo.max){
tempo.cat <- paste0("\n\n============\n\nERROR IN ", function.name, ": CODE INCONSISTENCY 4\n\n============\n\n")
stop(tempo.cat, call. = FALSE)
}
if(any(is.na(output))){
tempo.cat <- paste0("\n\n============\n\nERROR IN ", function.name, ": CODE INCONSISTENCY 5 (NA GENERATION)\n\n============\n\n")
stop(tempo.cat, call. = FALSE)
}
# end last check
}else{
tempo.cat <- paste0("\n\n============\n\nERROR IN ", function.name, ": CODE INCONSISTENCY 6\n\n============\n\n")
stop(tempo.cat, call. = FALSE)
}
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if(diff(lim.rank) < 0){
Gael  MILLOT's avatar
Gael MILLOT committed
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output <- rev(output)
}
return(output)
}


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######## fun_inter_ticks() #### define coordinates of secondary ticks
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fun_inter_ticks <- function(lim, log = "log10", breaks = NULL, n = NULL, warn.print = TRUE){
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# AIM
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# define coordinates and values of secondary ticks
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# ARGUMENTS
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# lim: vector of 2 numbers indicating the limit range of the axis. Order of the 2 values matters (for inverted axis). If log argument is "log2" or "log10", values in lim must be already log transformed. Thus, negative or zero values are allowed
# log: either "log2" (values in the lim argument are log2 transformed) or "log10" (values in the lim argument are log10 transformed), or "no"
# breaks: vector of numbers indicating the main ticks values/positions when log argument is "no". Ignored when log argument is "log2" or "log10"
# n: number of secondary ticks between each main tick when log argument is "no". Ignored when log argument is "log2" or "log10"
# warn.print: logical. Print potential warning messages at the end of the execution? If FALSE, warning messages are never printed, but can still be recovered in the returned list
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# REQUIRED PACKAGES
# none
# REQUIRED FUNCTIONS FROM CUTE_LITTLE_R_FUNCTION
# fun_check()
# RETURN
# a list containing
# $log: value of the log argument used
# $coordinates: the coordinates of the secondary ticks on the axis, between the lim values
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# $values: the corresponding values associated to each coordinate (with log scale, 2^$values or 10^$values is equivalent to the labels of the axis)
# $warn: the potential warning messages. Use cat() for proper display. NULL if no warning
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# EXAMPLES
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# no log scale
# fun_inter_ticks(lim = c(-4,4), log = "no", breaks = c(-2, 0, 2), n = 3)
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# log2
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# fun_inter_ticks(lim = c(-4,4), log = "log2")
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# log10
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# fun_inter_ticks(lim = c(-2,3), log = "log10")
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# DEBUGGING
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# lim = c(2, 3.101) ; log = "no" ; breaks = NULL ; n = NULL ; warn.print = TRUE # for function debugging
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# function name
function.name <- paste0(as.list(match.call(expand.dots=FALSE))[[1]], "()")
# end function name
# required function checking
req.function <- c(
"fun_check"
)
for(i1 in req.function){
if(length(find(i1, mode = "function")) == 0){
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tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, "\nREQUIRED ", i1, "() FUNCTION IS MISSING IN THE R ENVIRONMENT\n\n================\n\n")
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stop(tempo.cat)
}
}
# end required function checking
# argument primary checking
# arg with no default values
if(any(missing(lim))){
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tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, "\nARGUMENT lim HAS NO DEFAULT VALUE AND REQUIRES ONE\n\n================\n\n")
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stop(tempo.cat, call. = FALSE)
}
# end arg with no default values
# using fun_check()
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 = lim, class = "vector", mode = "numeric", length = 2, fun.name = function.name) ; eval(ee)
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tempo <- fun_check(data = log, options = c("no", "log2", "log10"), length = 1, fun.name = function.name) ; eval(ee)
if( ! is.null(breaks)){
tempo <- fun_check(data = breaks, class = "vector", mode = "numeric", fun.name = function.name) ; eval(ee)
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}
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if( ! is.null(n)){
tempo <- fun_check(data = n, class = "vector", typeof = "integer", length = 1, double.as.integer.allowed = TRUE, fun.name = function.name) ; eval(ee)
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}
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tempo <- fun_check(data = warn.print, class = "vector", mode = "logical", length = 1, fun.name = function.name) ; eval(ee)
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if(any(arg.check) == TRUE){
stop(paste0("\n\n================\n\n", paste(text.check[arg.check], collapse = "\n"), "\n\n================\n\n"), call. = FALSE) #
}
# end using fun_check()
# 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
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if(any(is.na(lim)) | any(is.na(log)) | any(is.na(breaks)) | any(is.na(n)) | any(is.na(warn.print))){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, "\nNO ARGUMENT CAN HAVE NA VALUES\n\n================\n\n")
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stop(tempo.cat, call. = FALSE)
}
# end dealing with NA
# dealing with NULL
if(is.null(lim) | is.null(log)){
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tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, "\nTHESE ARGUMENTS lim AND log CANNOT BE NULL\n\n================\n\n")
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stop(tempo.cat, call. = FALSE)
}
# end dealing with NULL
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if(all(diff(lim) == 0)){ # isTRUE(all.equal(diff(lim), rep(0, length(diff(lim))))) not used because we strictly need zero as a result
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, "\nlim ARGUMENT HAS A NULL RANGE (2 IDENTICAL VALUES): ", paste(lim, collapse = " "), "\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}else if(any(lim %in% c(Inf, -Inf))){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, "\nlim ARGUMENT CANNOT CONTAIN -Inf OR Inf VALUES\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
if(log == "no" & is.null(breaks)){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, "\nbreaks ARGUMENT CANNOT BE NULL IF log ARGUMENT IS \"no\"\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
if( ! is.null(breaks)){
if(length(breaks) < 2){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, "\nbreaks ARGUMENT MUST HAVE 2 VALUES AT LEAST (OTHERWISE, INTER TICK POSITIONS CANNOT BE COMPUTED): ", paste(breaks, collapse = " "), "\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
if( ! isTRUE(all.equal(diff(sort(breaks)), rep(diff(sort(breaks))[1], length(diff(sort(breaks))))))){ # isTRUE(all.equal(n, 0)) equivalent to n == 0 but deals with floats (approx ok)
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, "\nbreaks ARGUMENT MUST HAVE EQUIDISTANT VALUES (OTHERWISE, EQUAL NUMBER OF INTER TICK BETWEEN MAIN TICKS CANNOT BE COMPUTED): ", paste(breaks, collapse = " "), "\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
}
if( ! is.null(n)){
if(n <= 0){
tempo.cat <- paste0("\n\n================\n\nERROR IN ", function.name, "\nn ARGUMENT MUST BE A POSITIVE AND NON NULL INTEGER: ", paste(n, collapse = " "), "\n\n================\n\n")
stop(tempo.cat, call. = FALSE)
}
}
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# end second round of checking and data preparation
# main code
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warn <- NULL
lim.rank <- rank(lim) # to deal with inverse axis
if(log != "no"){
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ini.scipen <- options()$scipen
options(scipen = -1000) # force scientific format
power10.exp <- as.integer(substring(text = 10^lim, first = (regexpr(pattern = "\\+|\\-", text = 10^lim)))) # recover the power of 10, i.e., integer part of lim. Example recover 08 from 1e+08. Works for log2
# mantisse <- as.numeric(substr(x = 10^lim, start = 1, stop = (regexpr(pattern = "\\+|\\-", text = 10^lim) - 2))) # recover the mantisse. Example recover 1.22 from 1.22e+08
options(scipen = ini.scipen) # restore the initial scientific penalty
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tick.pos <- unique(as.vector(outer(2:10, ifelse(log == "log2", 2, 10)^((power10.exp[1] - ifelse(diff(lim.rank) > 0, 1, -1)):(power10.exp[2] + ifelse(diff(lim.rank) > 0, 1, -1)))))) # use log10(2:10) even if log2: it is to get log values between 0 and 1
tick.pos <- sort(tick.pos, decreasing = ifelse(diff(lim.rank) > 0, FALSE, TRUE))
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if(log == "log2"){
tick.values <- tick.pos[tick.pos >= min(2^lim) & tick.pos <= max(2^lim)]
tick.pos <- log2(tick.values)
}else if(log == "log10"){
tick.values <- tick.pos[tick.pos >= min(10^lim) & tick.pos <= max(10^lim)]
tick.pos <- log10(tick.values)
}
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}else{
if(length(breaks) > 1){
breaks.rank <- rank(c(breaks[1], breaks[length(breaks)]))
if(diff(breaks.rank) != diff(lim.rank)){
breaks <- sort(breaks, decreasing = ifelse(diff(lim.rank) < 0, TRUE, FALSE))
tempo.warn <- paste0("VALUES IN breaks ARGUMENT NOT IN THE SAME ORDER AS IN lim ARGUMENT -> REORDERED AS IN lim: ", paste(breaks, collapse = " "))
warn <- paste0(ifelse(is.null(warn), tempo.warn, paste0(warn, "\n", tempo.warn)))
}
}
main.tick.dist <- mean(diff(breaks), na.rm = TRUE)
tick.dist <- main.tick.dist / (n + 1)
tick.pos <- seq(breaks[1] - tick.dist, breaks[length(breaks)] + tick.dist, by = tick.dist)
tick.pos <- tick.pos[tick.pos >= min(lim) & tick.pos <= max(lim)]