change mark_prop HM2 N2

.Rhistory

-pos = pos,
-place = place)
-marker <- c()
-chr <- c()
-pos <- c()
-place <- c()
-for(i in names(newmap_after)){
-marker <- c(marker,names(newmap_after[[i]]))
-chr <- c(chr,rep(i,times=length(newmap_after[[i]])))
-pos <- c(pos,unname(newmap_after[[i]]))
-place <- c(place,"first",rep("middle",times=(length(newmap_after[[i]])),"last"))
-}
-marker <- c()
-chr <- c()
-pos <- c()
-place <- c()
-for(i in names(newmap_after)){
-marker <- c(marker,names(newmap_after[[i]]))
-chr <- c(chr,rep(i,times=length(newmap_after[[i]])))
-pos <- c(pos,unname(newmap_after[[i]]))
-place <- c(place,"first",rep("middle",times=(length(newmap_after[[i]])-2)),"last")
-}
-test <- tibble(marker = marker,
-chr = chr,
-pos = pos,
-place = place)
-test$pos
-test$pos[1:]
-test$pos[1:10]
-test$pos[1:length(test$pos)]
-test$pos[2:length(test$pos)]
-marker <- c()
-chr <- c()
-pos <- c()
-place <- c()
-previous <- c()
-for(i in names(newmap_after)){
-marker <- c(marker,names(newmap_after[[i]]))
-chr <- c(chr,rep(i,times=length(newmap_after[[i]])))
-pos <- c(pos,unname(newmap_after[[i]]))
-place <- c(place,"first",rep("middle",times=(length(newmap_after[[i]])-2)),"last")
-prev <- c(unname(newmap_after[[i]])[2:length(newmap_after[[i]])],NA)
-}
-marker <- c()
-chr <- c()
-pos <- c()
-place <- c()
-previous <- c()
-for(i in names(newmap_after)){
-marker <- c(marker,names(newmap_after[[i]]))
-chr <- c(chr,rep(i,times=length(newmap_after[[i]])))
-pos <- c(pos,unname(newmap_after[[i]]))
-place <- c(place,"first",rep("middle",times=(length(newmap_after[[i]])-2)),"last")
-prev <- c(unname(newmap_after[[i]])[2:length(newmap_after[[i]])],NA)
-previous <- c(previous,prev)
-}
-test <- tibble(marker = marker,
-chr = chr,
-pos = pos,
-place = place,
-previous = previous)
-marker <- c()
-chr <- c()
-pos <- c()
-place <- c()
-follow <- c()
-for(i in names(newmap_after)){
-marker <- c(marker,names(newmap_after[[i]]))
-chr <- c(chr,rep(i,times=length(newmap_after[[i]])))
-pos <- c(pos,unname(newmap_after[[i]]))
-place <- c(place,"first",rep("middle",times=(length(newmap_after[[i]])-2)),"last")
-fol <- c(unname(newmap_after[[i]])[2:length(newmap_after[[i]])],NA)
-follow <- c(follow,fol)
-}
-test <- tibble(marker = marker,
-chr = chr,
-pos = pos,
-place = place,
-pfollow = follow)
-marker <- c()
-chr <- c()
-pos <- c()
-place <- c()
-follow <- c()
-for(i in names(newmap_after)){
-marker <- c(marker,names(newmap_after[[i]]))
-chr <- c(chr,rep(i,times=length(newmap_after[[i]])))
-pos <- c(pos,unname(newmap_after[[i]]))
-place <- c(place,"first",rep("middle",times=(length(newmap_after[[i]])-2)),"last")
-fol <- c(unname(newmap_after[[i]])[2:length(newmap_after[[i]])],NA)
-follow <- c(follow,fol)
-}
-test <- tibble(marker = marker,
-chr = chr,
-place = place,
-pos = pos,
-pfollow = follow)
-marker <- c()
-chr <- c()
-pos <- c()
-place <- c()
-follow <- c()
-previous <- c()
-for(i in names(newmap_after)){
-marker <- c(marker,names(newmap_after[[i]]))
-chr <- c(chr,rep(i,times=length(newmap_after[[i]])))
-pos <- c(pos,unname(newmap_after[[i]]))
-place <- c(place,"first",rep("middle",times=(length(newmap_after[[i]])-2)),"last")
-fol <- c(unname(newmap_after[[i]])[2:length(newmap_after[[i]])],NA)
-follow <- c(follow,fol)
-prev <- c(NA,unname(newmap_after[[i]])[1:length(newmap_after[[i]])-1])
-previous <- c(previous,prev)
-}
-test <- tibble(marker = marker,
-chr = chr,
-place = place,
-pos = pos,
-pfollow = follow)
-marker <- c()
-chr <- c()
-pos <- c()
-place <- c()
-follow <- c()
-previous <- c()
-for(i in names(newmap_after)){
-marker <- c(marker,names(newmap_after[[i]]))
-chr <- c(chr,rep(i,times=length(newmap_after[[i]])))
-pos <- c(pos,unname(newmap_after[[i]]))
-place <- c(place,"first",rep("middle",times=(length(newmap_after[[i]])-2)),"last")
-fol <- c(unname(newmap_after[[i]])[2:length(newmap_after[[i]])],NA)
-follow <- c(follow,fol)
-prev <- c(NA,unname(newmap_after[[i]])[1:length(newmap_after[[i]])-1])
-previous <- c(previous,prev)
-}
-test <- tibble(marker = marker,
-chr = chr,
-place = place,
-pos = pos,
-follow = follow,
-previous = previous)
-marker <- c()
-chr <- c()
-pos <- c()
-place <- c()
-previous <- c()
-follow <- c()
-for(i in names(newmap_after)){
-marker <- c(marker,names(newmap_after[[i]]))
-chr <- c(chr,rep(i,times=length(newmap_after[[i]])))
-pos <- c(pos,unname(newmap_after[[i]]))
-place <- c(place,"first",rep("middle",times=(length(newmap_after[[i]])-2)),"last")
-prev <- c(NA,unname(newmap_after[[i]])[1:length(newmap_after[[i]])-1])
-previous <- c(previous,prev)
-fol <- c(unname(newmap_after[[i]])[2:length(newmap_after[[i]])],NA)
-follow <- c(follow,fol)
-}
-test <- tibble(marker = marker,
-chr = chr,
-place = place,
-pos = pos,
-previous = previous,
-follow = follow)
-class(test$previous)
-class(test$follow)
-test %>% mutate(exclude=case_when(pos == "first" & follow > 100 ~ 1,
-pos == "middle" & previous > 100 & follow > 100 ~ 1,
-pos == "last" & previous > 100 ~ 1,
-T ~ 0))
-test %<>% mutate(exclude=case_when(pos == "first" & follow > 100 ~ 1,
-pos == "middle" & previous > 100 & follow > 100 ~ 1,
-pos == "last" & previous > 100 ~ 1,
-T ~ 0))
-test <- test %>% mutate(exclude=case_when(pos == "first" & follow > 100 ~ 1,
-pos == "middle" & previous > 100 & follow > 100 ~ 1,
-pos == "last" & previous > 100 ~ 1,
-T ~ 0))
-test <- test %>% mutate(exclude=case_when(place == "first" & follow > 100 ~ 1,
-place == "middle" & previous > 100 & follow > 100 ~ 1,
-place == "last" & previous > 100 ~ 1,
-T ~ 0))
-test <- tibble(marker = marker,
-chr = chr,
-place = place,
-pos = pos,
-previous = pos-previous,
-follow = follow-pos)
-test <- test %>% mutate(exclude=case_when(place == "first" & follow > 100 ~ 1,
-place == "middle" & previous > 100 & follow > 100 ~ 1,
-place == "last" & previous > 100 ~ 1,
-T ~ 0))
-test %>% pull(exclude)
-test %>% filter(exclude == 1) %>% pull(marker)
-class(newmap_after)
-load("/mnt/gaia/gaia_mouselab/Marie/Package_stuaRt/Article/Figures/Rdata/many_files.rda")
-rm(after_1000p,before_neogen_1000p,before_us_1000p,newmap_before_neogen)
-cross <- read.cross(format="csv",file="rqtl_file.csv",
-genotypes=c("0","1","2"),na.strings=c("NA"), convertXdata=TRUE)
-library(qtl)
-cross <- read.cross(format="csv",file="rqtl_file.csv",
-genotypes=c("0","1","2"),na.strings=c("NA"), convertXdata=TRUE)
-setwd("~/Documents/stuart_package/stuart")
-cross <- read.cross(format="csv",file="rqtl_file.csv",
-genotypes=c("0","1","2"),na.strings=c("NA"), convertXdata=TRUE)
-library(qtl)
-cross <- read.cross(format="csv",file="rqtl_file.csv",
-genotypes=c("0","1","2"),na.strings=c("NA"), convertXdata=TRUE)
-rqtl_file <- write_rqtl(geno=genos,pheno=phenos,tab=tab2,
-ref=strains,par1="parent1",par2="parent2",prefix="ind_",pos="cM_cox",path = "./rqtl_file.csv")
-knitr::opts_chunk$set(
-collapse = TRUE,
-comment = "#>"
-)
-library(dplyr)
-library(stuart)
-annot_mini <- read.csv(url("https://raw.githubusercontent.com/kbroman/MUGAarrays/master/UWisc/mini_uwisc_v2.csv"))
-data(genos)
-summary(genos)
-data(phenos)
-summary(phenos)
-strains <- geno_strains(ref=annot_mini,geno=genos,par1=c("StrainsA_1","StrainsA_2"),
-par2=c("StrainsB_1","StrainsB_2"),name1="parent1",name2="parent2")
-head(strains) %>% print.data.frame()
-genos <- genos %>% filter(!Sample.ID %in% c("StrainsA_1", "StrainsA_2",
-"StrainsB_1","StrainsB_2"))
-data(stuart_tab)
-summary(stuart_tab)
-tab2 <- mark_match(stuart_tab,ref=strains)
-tab2 %>% filter(exclude_match==1) %>% print.data.frame()
-tab2 <- mark_poly(tab2)
-head(tab2) %>% print.data.frame()
-tab2 <- mark_prop(tab2,cross="F2",homo=0.1,hetero=0.1)
-head(tab2) %>% print.data.frame()
-tab2 <- mark_allele(tab=tab2,ref=strains,par1="parent1",par2="parent2")
-tab2 %>% arrange(desc(exclude_allele)) %>% head() %>% print.data.frame()
-strains %>% filter(marker %in% c("gJAX00038569","gJAX00425031","gUNC12245354",
-"gUNC15530876","gUNC21555204","gUNC21596600")) %>% arrange(marker) %>%
-select(marker,parent1,parent2) %>% print.data.frame()
-rqtl_file <- write_rqtl(geno=genos,pheno=phenos,tab=tab2,
-ref=strains,par1="parent1",par2="parent2",prefix="ind_",pos="cM_cox",path = "rqtl_file.csv")
-cross <- read.cross(format="csv",file="rqtl_file.csv",
-genotypes=c("0","1","2"),na.strings=c("NA"), convertXdata=TRUE)
-bad_markers <- test %>% filter(exclude == 1) %>% pull(marker)
-drop.markers(cross=cross,markers=bad_markers)
-View(cross)
-newcross <- drop.markers(cross=cross,markers=bad_markers)
-View(newcross)
-mark_estmap <- function(map,dist=100){
-#initialize variables
-marker <- c()
-chr <- c()
-pos <- c()
 place <- c()
 previous <- c()
 follow <- c()
@@ -510,3 +259,254 @@ devtools::build(path=".",vignettes=FALSE)
 devtools::build_vignettes()
 devtools::build_manual(path=".")
 library(stuart)
+devtools::build_vignettes()
+test <- tibble(sample.id=c(1,2,3),pheno=c(4,5,6))
+library(dplyr)
+library(dplyr)
+test <- tibble(sample.id=c(1,2,3),pheno=c(4,5,6))
+View(test)
+test %>% rename(1="id")
+test %>% rename("id"=1)
+library(dplyr)
+library(stuart)
+write_rqtl <- function(geno,pheno,tab,ref,par1,par2,par_N=TRUE,prefix,pos,path=NA){
+#rename df columns
+geno <- geno %>% rename("marker"=1,
+"id"=2,
+"allele_1"=3,
+"allele_2"=4)
+#extract snps non excluded
+if("exclude_match" %in% colnames(tab)){
+tab <- tab %>% filter(exclude_match==0)
+}
+if("exclude_poly" %in% colnames(tab)){
+tab <- tab %>% filter(exclude_poly==0)
+}
+if("exclude_prop" %in% colnames(tab)){
+tab <- tab %>% filter(exclude_prop==0)
+}
+if("exclude_allele" %in% colnames(tab)){
+tab <- tab %>% filter(exclude_allele==0)
+}
+#filter genotypes for non excluded markers in geno file
+geno <- geno %>% select(c(marker,id,allele_1,allele_2)) %>% filter(marker %in% tab$marker)
+#recode parents' names to match column names nomenclature
+par1 <- make.names(par1)
+par2 <- make.names(par2)
+#keep parental lines genotypes
+colnames(ref) <- make.names(colnames(ref))
+ref <- ref %>% select(marker,chr,!!sym(pos),!!sym(par1),!!sym(par2))
+#merge genotypes with parents
+geno <- left_join(geno,ref,by=c("marker"="marker"))
+#remove snps with no position
+geno <- geno %>% filter(is.na(chr)==FALSE) %>% filter(is.na(!!sym(pos))==FALSE)
+#recode "-" in "N" in geno file
+geno <- geno %>% mutate(allele_1 = recode(allele_1,
+"-" = "N"))
+geno <- geno %>% mutate(allele_2 = recode(allele_2,
+"-" = "N"))
+#recode geno in factors with same levels
+geno <- geno %>% mutate(allele_1 = factor(allele_1,levels=c("A","C","G","H","N","T")))
+geno <- geno %>% mutate(allele_2 = factor(allele_2,levels=c("A","C","G","H","N","T")))
+#recode genotypes depending on parents' genotypes
+geno <- geno %>% mutate(Geno = case_when(
+#if one allele not genotyped:
+allele_1=="N" | allele_2=="N" ~ "NA",
+#if both alleles genotyped
+##homozygous 0
+allele_1==allele_2 & allele_1==!!sym(par1) ~ "0",
+##homozygous 2
+allele_1==allele_2 & allele_1==!!sym(par2) ~ "2",
+##heterozygous
+allele_1!=allele_2 ~ "1",
+#if parental strains are N/H
+##homozygous for parent that is N/H
+###homozygous 0
+(!!sym(par1)%in%c("H","N") | !!sym(par2)%in%c("H","N")) &
+!!sym(par1)%in%c("H","N") ~ "0",
+###homozygous 2
+(!!sym(par1)%in%c("H","N") | !!sym(par2)%in%c("H","N")) &
+!!sym(par2)%in%c("H","N") ~ "2"
+)
+)
+#keep positions of markers
+markers <- geno %>% select(marker,chr,!!sym(pos)) %>% distinct()
+markers <- markers %>% arrange(chr,!!sym(pos))
+#keep only interesting columns in geno file
+geno <- geno %>% arrange(chr,!!sym(pos))
+geno <- geno %>% select(marker,id,Geno)
+#remove prefix
+geno <- geno %>% mutate(id=str_remove(id,prefix))
+#keep only non excluded markers and merge with positions
+markers <- markers %>% mutate(marker=as.character(marker))
+markers <- markers %>% mutate(chr=as.character(chr))
+geno <- markers %>% select(marker,chr,!!sym(pos)) %>% full_join(.,geno,by="marker")
+#pivoting
+geno <- geno %>% pivot_wider(names_from = c(marker,chr,!!sym(pos)),values_from = Geno,names_sep=",")
+geno <- geno %>% mutate(id=as.character(id))
+geno <- geno %>% rename("id,,"=id)
+#merge with phenotype file
+pheno <- pheno %>% rename("id"=1)
+pheno <- pheno %>% mutate_all(as.character)
+colnames(pheno) <- str_c(colnames(pheno),",,")
+qtl_file <- right_join(pheno,geno,by=c("id,,"="id,,"))
+#prepare file
+qtl_file <- rbind(colnames(qtl_file),qtl_file)
+qtl_file <- separate_rows(qtl_file,everything(),sep=",")
+colnames(qtl_file) <- qtl_file[1,]
+qtl_file <- qtl_file %>% slice(-1)
+if(is.na(path)==FALSE){
+write.csv(qtl_file,file=path,quote=FALSE,row.names = FALSE)
+}
+return(qtl_file)
+}
+data(phenos)
+summary(phenos)
+View(phenos)
+pheno %>% rename("sample"="Ind")
+phenos %>% rename("sample"="Ind")
+phenos <- pheno %>% rename("sample"="Ind")
+phenos <- phenos %>% rename("sample"="Ind")
+knitr::opts_chunk$set(
+collapse = TRUE,
+comment = "#>"
+)
+library(dplyr)
+library(stuart)
+annot_mini <- read.csv(url("https://raw.githubusercontent.com/kbroman/MUGAarrays/master/UWisc/mini_uwisc_v2.csv"))
+data(genos)
+summary(genos)
+data(phenos)
+summary(phenos)
+strains <- geno_strains(ref=annot_mini,geno=genos,par1=c("StrainsA_1","StrainsA_2"),
+par2=c("StrainsB_1","StrainsB_2"),name1="parent1",name2="parent2")
+head(strains) %>% print.data.frame()
+genos <- genos %>% filter(!Sample.ID %in% c("StrainsA_1", "StrainsA_2",
+"StrainsB_1","StrainsB_2"))
+data(stuart_tab)
+summary(stuart_tab)
+tab2 <- mark_match(stuart_tab,ref=strains)
+tab2 %>% filter(exclude_match==1) %>% print.data.frame()
+tab2 <- mark_poly(tab2)
+head(tab2) %>% print.data.frame()
+tab2 <- mark_prop(tab2,cross="F2",homo=0.1,hetero=0.1)
+head(tab2) %>% print.data.frame()
+mark_prop(tab2,cross="F2",pval=0.05) %>% head() %>% print.data.frame()
+tab2 <- mark_allele(tab=tab2,ref=strains,par1="parent1",par2="parent2")
+tab2 %>% arrange(desc(exclude_allele)) %>% head() %>% print.data.frame()
+strains %>% filter(marker %in% c("gJAX00038569","gJAX00425031","gUNC12245354",
+"gUNC15530876","gUNC21555204","gUNC21596600")) %>% arrange(marker) %>%
+select(marker,parent1,parent2) %>% print.data.frame()
+rqtl_file <- write_rqtl(geno=genos,pheno=phenos,tab=tab2,
+ref=strains,par1="parent1",par2="parent2",prefix="ind_",pos="cM_cox")
+library(dplyr)
+library(stuart)
+rqtl_file <- write_rqtl(geno=genos,pheno=phenos,tab=tab2,
+ref=strains,par1="parent1",par2="parent2",prefix="ind_",pos="cM_cox")
+library(stuart)
+library(dplyr)
+library(stuart)
+rqtl_file <- write_rqtl(geno=genos,pheno=phenos,tab=tab2,
+ref=strains,par1="parent1",par2="parent2",prefix="ind_",pos="cM_cox")
+rqtl_file <- write_rqtl(geno=genos,pheno=phenos,tab=tab2,
+ref=strains,par1="parent1",par2="parent2",prefix="ind_",pos="cM_cox")
+library(stuart)
+library(stringr)
+rqtl_file <- write_rqtl(geno=genos,pheno=phenos,tab=tab2,
+ref=strains,par1="parent1",par2="parent2",prefix="ind_",pos="cM_cox")
+detach("package:stuart", unload = TRUE)
+install.packages(stuart)
+library(tidyverse)
+rqtl_file <- write_rqtl(geno=genos,pheno=phenos,tab=tab2,
+ref=strains,par1="parent1",par2="parent2",prefix="ind_",pos="cM_cox")
+write_rqtl(geno=genos,pheno=phenos,tab=tab2,
+ref=strains,par1="parent1",par2="parent2",prefix="ind_",pos="cM_cox")
+detach("package:stringr", unload = TRUE)
+detach("package:tibble", unload = TRUE)
+detach("package:tidyr", unload = TRUE)
+detach("package:tidyverse", unload = TRUE)
+detach("package:readr", unload = TRUE)
+detach("package:purrr", unload = TRUE)
+detach("package:forcats", unload = TRUE)
+detach("package:ggplot2", unload = TRUE)
+detach("package:dplyr", unload = TRUE)
+devtools::build(path=".",vignettes=FALSE)
+devtools::build_vignettes()
+devtools::build_manual(as.package())
+devtools::build_manual(
+)
+library(stuart)
+knitr::opts_chunk$set(
+collapse = TRUE,
+comment = "#>"
+)
+library(dplyr)
+library(stuart)
+annot_mini <- read.csv(url("https://raw.githubusercontent.com/kbroman/MUGAarrays/master/UWisc/mini_uwisc_v2.csv"))
+data(genos)
+summary(genos)
+data(phenos)
+summary(phenos)
+strains <- geno_strains(ref=annot_mini,geno=genos,par1=c("StrainsA_1","StrainsA_2"),
+par2=c("StrainsB_1","StrainsB_2"),name1="parent1",name2="parent2")
+head(strains) %>% print.data.frame()
+genos <- genos %>% filter(!Sample.ID %in% c("StrainsA_1", "StrainsA_2",
+"StrainsB_1","StrainsB_2"))
+# how to use the function:
+# stuart_tab <- tab_mark(genos)
+data(stuart_tab)
+summary(stuart_tab)
+tab2 <- mark_match(stuart_tab,ref=strains)
+tab2 %>% filter(exclude_match==1) %>% print.data.frame()
+tab2 <- mark_poly(tab2)
+head(tab2) %>% print.data.frame()
+tab2 <- mark_prop(tab2,cross="F2",homo=0.1,hetero=0.1)
+head(tab2) %>% print.data.frame()
+mark_prop(tab2,cross="F2",pval=0.05) %>% head() %>% print.data.frame()
+tab2 <- mark_allele(tab=tab2,ref=strains,par1="parent1",par2="parent2")
+tab2 %>% arrange(desc(exclude_allele)) %>% head() %>% print.data.frame()
+strains %>% filter(marker %in% c("gJAX00038569","gJAX00425031","gUNC12245354",
+"gUNC15530876","gUNC21555204","gUNC21596600")) %>% arrange(marker) %>%
+select(marker,parent1,parent2) %>% print.data.frame()
+stuart_cross <- write_rqtl(geno=genos,pheno=phenos,tab=tab2,
+ref=strains,par1="parent1",par2="parent2",prefix="ind_",pos="cM_cox")
+stuart_cross[1:10,1:7] %>% print.data.frame()
+knitr::opts_chunk$set(
+collapse = TRUE,
+comment = "#>"
+)
+library(dplyr)
+library(stuart)
+annot_mini <- read.csv(url("https://raw.githubusercontent.com/kbroman/MUGAarrays/master/UWisc/mini_uwisc_v2.csv"))
+data(genos)
+summary(genos)
+data(phenos)
+summary(phenos)
+strains <- geno_strains(ref=annot_mini,geno=genos,par1=c("StrainsA_1","StrainsA_2"),
+par2=c("StrainsB_1","StrainsB_2"),name1="parent1",name2="parent2")
+head(strains) %>% print.data.frame()
+genos <- genos %>% filter(!Sample.ID %in% c("StrainsA_1", "StrainsA_2",
+"StrainsB_1","StrainsB_2"))
+# how to use the function:
+# stuart_tab <- tab_mark(genos)
+data(stuart_tab)
+summary(stuart_tab)
+tab2 <- mark_match(stuart_tab,ref=strains)
+tab2 %>% filter(exclude_match==1) %>% print.data.frame()
+tab2 <- mark_poly(tab2)
+head(tab2) %>% print.data.frame()
+tab2 <- mark_prop(tab2,cross="F2",homo=0.1,hetero=0.1)
+head(tab2) %>% print.data.frame()
+mark_prop(tab2,cross="F2",pval=0.05) %>% head() %>% print.data.frame()
+tab2 <- mark_allele(tab=tab2,ref=strains,par1="parent1",par2="parent2")
+tab2 %>% arrange(desc(exclude_allele)) %>% head() %>% print.data.frame()
+strains %>% filter(marker %in% c("gJAX00038569","gJAX00425031","gUNC12245354",
+"gUNC15530876","gUNC21555204","gUNC21596600")) %>% arrange(marker) %>%
+select(marker,parent1,parent2) %>% print.data.frame()
+stuart_cross <- write_rqtl(geno=genos,pheno=phenos,tab=tab2,
+ref=strains,par1="parent1",par2="parent2",prefix="ind_",pos="cM_cox")
+stuart_cross[1:10,1:7] %>% print.data.frame()
+rm(stuart_cross)
+library(qtl)
+data(stuart_cross)
+summary(stuart_cross)

.Rproj.user/shared/notebooks/paths

@@ -20,3 +20,5 @@
 /home/marie/Documents/stuart_package/stuart/man/genos.Rd="383A8DC0"
 /home/marie/Documents/stuart_package/stuart/vignettes/stuart.Rmd="1F99EBA0"
 /mnt/gaia/gaia_mouselab/Marie/Package_stuaRt/Article/Figures/Maestro/map_before_neogen/map_before_neogen.R="36D40A63"
+/mnt/zeus/zeus_mouselab/anais/newmap_perm_anais.R="545E1544"
+/mnt/zeus/zeus_mouselab/marie/map_after/map_after.R="697AFFBF"

DESCRIPTION

 Package: stuart
 Title: stuart
-Version: 1.0.3
+Version: 1.0.3.9000
 Authors@R: 
     person(given = "Marie",
            family = "Bourdon",

R/mark_prop.R

@@ -54,7 +54,10 @@ mark_prop <- function(tab,cross,homo=NA,hetero=NA,pval=NA,na=0.5){
     tab <- tab %>%
       mutate(exclude_prop=case_when(p_NA > na ~ 1,
                                     cross=="F2" & (p_HM1 < homo | p_HM2 < homo | p_HT < hetero) ~ 1,
-                                    cross=="N2" & (p_HM1 < homo | p_HT < hetero) ~ 1,
+                                    cross=="N2" & ((p_HM2 == 0 & p_HM1 < homo) |
+                                                     (p_HM1 == 0 & p_HM2 < homo) |
+                                                     (p_HT < hetero) |
+                                                     (p_HM1 !=0 & p_HM2 != 0)) ~ 1,
                                     T ~ exclude_prop
       ))
 

R/write_rqtl.R

@@ -64,10 +64,10 @@ write_rqtl <- function(geno,pheno,tab,ref,par1,par2,par_N=TRUE,prefix,pos,path=N
 
   #recode "-" in "N" in geno file
   geno <- geno %>% mutate(allele_1 = recode(allele_1,
-                                                     "-" = "N"))
+                                            "-" = "N"))
 
   geno <- geno %>% mutate(allele_2 = recode(allele_2,
-                                                     "-" = "N"))
+                                            "-" = "N"))
 
   #recode geno in factors with same levels
   geno <- geno %>% mutate(allele_1 = factor(allele_1,levels=c("A","C","G","H","N","T")))
@@ -125,9 +125,10 @@ write_rqtl <- function(geno,pheno,tab,ref,par1,par2,par_N=TRUE,prefix,pos,path=N
 
 
   #merge with phenotype file
+  pheno <- pheno %>% rename("id"=1)
   pheno <- pheno %>% mutate_all(as.character)
   colnames(pheno) <- str_c(colnames(pheno),",,")
-  qtl_file <- right_join(pheno,geno,by=c("Ind,,"="id,,"))
+  qtl_file <- right_join(pheno,geno,by=c("id,,"="id,,"))
 
   #prepare file
   qtl_file <- rbind(colnames(qtl_file),qtl_file)

vignettes/stuart.Rmd

@@ -87,10 +87,13 @@ genos <- genos %>% filter(!Sample.ID %in% c("StrainsA_1", "StrainsA_2",
 
 ### Marker tab
 
-The first step of the markers sorting is to create the marker dataframe with the tab_mark() function. This dataframe contains for each marker the two alleles that can be found in the F2/N2 population (`Allele_1` and `Allele_2`), the number of individuals for each genotype (homozygous for each allele (`n_HM1` and `n_HM2`) and heterozygous (`n_HT`)), and the number of non genotyped individuals (`n_NA`) This step can take several minutes. You can also load the output of this function.
+The first step of the markers sorting is to create the marker dataframe with the tab_mark() function. This dataframe contains for each marker the two alleles that can be found in the F2/N2 population (