From 97e6ea55643582b49120ce450159d2ebbcb521ba Mon Sep 17 00:00:00 2001 From: Mathieu Gautier Date: Mon, 1 Aug 2016 15:35:27 +0000 Subject: [PATCH] version 2.0.0 --- ChangeLog | 8 + DESCRIPTION | 12 +- MD5 | 88 +- NAMESPACE | 7 + R/calc_ehh.R | 96 +- R/calc_ehhs.R | 97 +- R/data2haplohh.R | 123 +- R/distribplot.R | 21 +- R/ies2rsb.R | 41 +- R/ies2xpehh.R | 29 + R/ihh2ihs.R | 86 +- R/ihsplot.R | 88 +- R/rsbplot.R | 106 +- R/scan_hh.R | 57 +- R/xpehhplot.R | 76 + build/vignette.rds | Bin 0 -> 199 bytes data/haplohh_cgu_bta12.RData | Bin 55754 -> 55767 bytes data/wgscan.cgu.RData | Bin 767176 -> 1431964 bytes data/wgscan.eut.RData | Bin 771476 -> 1442432 bytes inst/CITATION | 18 +- inst/bta12_cgu.hap | 560 +- inst/bta12_cgu.thap | 1424 + inst/bta12_hapguess_switch.out | 1260 +- inst/doc/rehh.R | 324 + inst/doc/rehh.Rmd | 632 + inst/doc/rehh.pdf | Bin 0 -> 3016707 bytes inst/map.inp | 88114 +++++++++++++++---------------- man/calc_ehh.Rd | 26 +- man/calc_ehhs.Rd | 25 +- man/data2haplohh.Rd | 24 +- man/distribplot.Rd | 18 +- man/haplohh-class.Rd | 2 +- man/ies2rsb.Rd | 2 +- man/ies2xpehh.Rd | 31 + man/ihh2ihs.Rd | 6 +- man/ihsplot.Rd | 19 +- man/rehh-package.Rd | 12 +- man/rsbplot.Rd | 16 +- man/scan_hh.Rd | 15 +- man/wgscan.cgu.Rd | 2 +- man/wgscan.eut.Rd | 4 +- man/xpehhplot.Rd | 34 + src/CALL_EHH.c | 56 + src/CALL_EHHS.c | 57 + src/CALL_SCAN_HH.c | 103 + src/Makevars | 2 + src/ehh_utils.c | 205 - src/ehh_utils.h | 11 - src/hh_utils.c | 429 + src/hh_utils.h | 19 + src/r_ehh.c | 96 - src/r_ehhs.c | 82 - src/r_scan_hh.c | 156 - vignettes/genetics.csl | 147 + vignettes/rehh.Rmd | 632 + vignettes/rehh.html | 774 + vignettes/vignette.bib | 323 + 57 files changed, 50723 insertions(+), 45872 deletions(-) create mode 100644 R/ies2xpehh.R create mode 100644 R/xpehhplot.R create mode 100644 build/vignette.rds create mode 100644 inst/bta12_cgu.thap create mode 100644 inst/doc/rehh.R create mode 100644 inst/doc/rehh.Rmd create mode 100644 inst/doc/rehh.pdf create mode 100644 man/ies2xpehh.Rd create mode 100644 man/xpehhplot.Rd create mode 100644 src/CALL_EHH.c create mode 100644 src/CALL_EHHS.c create mode 100644 src/CALL_SCAN_HH.c create mode 100644 src/Makevars delete mode 100644 src/ehh_utils.c delete mode 100644 src/ehh_utils.h create mode 100644 src/hh_utils.c create mode 100644 src/hh_utils.h delete mode 100644 src/r_ehh.c delete mode 100644 src/r_ehhs.c delete mode 100644 src/r_scan_hh.c create mode 100644 vignettes/genetics.csl create mode 100644 vignettes/rehh.Rmd create mode 100644 vignettes/rehh.html create mode 100644 vignettes/vignette.bib diff --git a/ChangeLog b/ChangeLog index 50a27f8..a44b0ab 100644 --- a/ChangeLog +++ b/ChangeLog @@ -1,3 +1,11 @@ +Changes from Version 1.13 to 2.0.0 [July 30 2016] + +* Major modification of the algorithm to explore haplotype variability (more than one order of magnitude faster), including parallelization +* Major modification of the data2haplohh function to improve reading efficiency and allele recoding. In addition, a new input data file format (haplotype.in.columns) is now available +* Computation of xp-EHH +* A vignette that details how to use the package is now included in the package +* Several other minor modifications in other functions + Changes from Version 1.12 to 1.13 [May 13 2015] * Removing smartlegend() calls (deprecated in new version of gplot) in calc_ehh.R and fistribplot.R diff --git a/DESCRIPTION b/DESCRIPTION index 797a3a4..4ec22d5 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,18 +1,20 @@ Package: rehh Maintainer: Mathieu Gautier -Author: Mathieu Gautier and Renaud Vitalis -Version: 1.13 +Author: Mathieu Gautier, Alexander Klassmann and Renaud Vitalis +Version: 2.0.0 License: GPL (>= 2) Title: Searching for Footprints of Selection using Haplotype Homozygosity Based Tests Description: Functions for the detection of footprints of selection on dense SNP data using Extended Homozygosity Haplotype (EHH) based tests. The package includes computation of EHH, iHS - (within population) and Rsb (across pairs of populations) + (within population) and Rsb or XP-EHH (across pairs of populations) statistics. Various plotting functions are also included to facilitate visualization and interpretation of the results. Depends: R (>= 2.10), gplots, methods +Suggests: knitr, rmarkdown +VignetteBuilder: knitr NeedsCompilation: yes -Packaged: 2015-05-13 14:36:55 UTC; mathieu +Packaged: 2016-08-01 12:46:28 UTC; mathieu Repository: CRAN -Date/Publication: 2015-05-13 19:54:58 +Date/Publication: 2016-08-01 15:35:27 diff --git a/MD5 b/MD5 index ac1223c..b82e26e 100644 --- a/MD5 +++ b/MD5 @@ -1,42 +1,56 @@ -6984428c4aa45239a5a0b97e84240d5b *ChangeLog -eb7e311e133b8ff8b8f1dee961730365 *DESCRIPTION -bcdae995c3c93898c7f6adc04767cc5c *NAMESPACE +0d7cb76701f9400146447856aa473fd8 *ChangeLog +71620313c7e3a4866190332e8d1d5883 *DESCRIPTION +05b360a82b2bd675ab11bd88a90b393c *NAMESPACE 66b19d927cd1910977ea9a424e808f09 *R/bifurcation.diagram.R -67d44ad2dea81d0183e1cab53a577563 *R/calc_ehh.R -f2ff441060f34c66e0ae54153d83468f *R/calc_ehhs.R -ae6d29a3c3fd66aba573924440851407 *R/data2haplohh.R -b4bc9634a424e3aa52346765577a964d *R/distribplot.R -85a4171cae44228896492839af39bb68 *R/ies2rsb.R -b76e82e3b88c8c45377c0cc854bff0d2 *R/ihh2ihs.R -662baf5629173558243cd7219a1926dd *R/ihsplot.R -dd71cccaae6eed93076e2483a8dfecfd *R/rsbplot.R -c5825d26fe79dba43c63b89b1a30fad0 *R/scan_hh.R +699746379ea262def40efbc56c679658 *R/calc_ehh.R +cbed731420d9fcd1e9bab0b57e799d37 *R/calc_ehhs.R +48ca2d501fa11855708c042a2a5f7adf *R/data2haplohh.R +8e7ac48d09bd3f9caaec529f51828418 *R/distribplot.R +87f5b93f5e1e93ef0acf6e1fdb80e052 *R/ies2rsb.R +67af403e866224c046dbb725f8c20053 *R/ies2xpehh.R +236c2ad942460aa02c508fb85b2d930d *R/ihh2ihs.R +2991884ead6039f9a7c5fb4fea3949a8 *R/ihsplot.R +0100f29f5ec45e2de523dea58eda3f83 *R/rsbplot.R +827eb56411c08141b2f3f9a86305202c *R/scan_hh.R +0a5b13c5112b4f13eb371ae329e82dd0 *R/xpehhplot.R +56ca3e289b27856b18d0d191721240e8 *build/vignette.rds df37a969a6c3282c7fd1be1a2690cfc5 *data/datalist -4ff9b9f05e00e5a6555311a35f2ea999 *data/haplohh_cgu_bta12.RData -ddd497430735de0aebb28752e2e65b6c *data/wgscan.cgu.RData -9ad082e4c440f44cb88ed1be370cef9e *data/wgscan.eut.RData -47039ecd7d04ba08df80ffe3869b0309 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+b223f181cf1e51b26fcce58242e451d2 *src/hh_utils.h +80ac2e78110aa3e54fb5ce824bd5574f *vignettes/genetics.csl +904b52d7f42d303d82f763336fe02422 *vignettes/rehh.Rmd +1e78f3b2a2af30127833e772ce889507 *vignettes/rehh.html +5eb01f115834ab23893ed2278d9e1b20 *vignettes/vignette.bib diff --git a/NAMESPACE b/NAMESPACE index 6c9f229..e9c755e 100644 --- a/NAMESPACE +++ b/NAMESPACE @@ -7,11 +7,18 @@ export(calc_ehhs) export(data2haplohh) export(distribplot) export(ies2rsb) +export(ies2xpehh) export(ihh2ihs) export(ihsplot) export(make.example.files) export(rsbplot) export(scan_hh) +export(xpehhplot) import(gplots) import(methods) +importFrom("grDevices", "dev.new") +importFrom("graphics", "abline", "axis", "curve", "legend", "lines","matplot", "par", "plot", "plot.new") +importFrom("stats", "density", "dnorm", "median", "pnorm", "qqnorm","sd") +importFrom("utils", "read.table", "tail") + diff --git a/R/calc_ehh.R b/R/calc_ehh.R index 6891d90..6b0ddf7 100644 --- a/R/calc_ehh.R +++ b/R/calc_ehh.R @@ -1,39 +1,59 @@ -calc_ehh<-function(haplohh,mrk,limhaplo=2,limehh=0.05,plotehh=TRUE,main_leg="EHH plot"){ - if(!(is.haplohh(haplohh))){stop("Data oject is not of valid haplohh object... (see data2haplohh() function)")} - if(mrk<1 | mrk>haplohh@nsnp){stop(paste("Focal snp index must be between",1,"and",haplohh@nsnp))} - if(limhaplo<2){stop("limhaplo must be >1")} - if(limehh<0 | limehh>1){stop("limehh must be between 0 and 1")} - - ehh<-matrix(0,nrow=haplohh@nsnp,ncol=2) ; nhaplo_eval<-matrix(0,nrow=haplohh@nsnp,ncol=2) ; ihh<-rep(0,2) - res.ehh<-.C("r_ehh", - Rdata = as.integer(haplohh@haplo), - number_SNPs = as.integer(haplohh@nsnp), - number_chromosomes = as.integer(haplohh@nhap), - focal_SNP = as.integer(mrk), - map = as.double(haplohh@position), - number_haplotypes = as.integer(nhaplo_eval), - EHH = as.double(ehh), - IHH = as.double(ihh), - min_number_haplotypes = as.integer(limhaplo), - min_EHH = as.double(limehh) - ) - - ehh=matrix(res.ehh$EHH,2,haplohh@nsnp,byrow=T) - nhaplo_eval=matrix(res.ehh$number_haplotypes,2,haplohh@nsnp,byrow=T) - rownames(ehh)=rownames(nhaplo_eval)=c("Anc. Allele","Der. Allele") - colnames(ehh)=colnames(nhaplo_eval)=haplohh@snp.name - ihh=res.ehh$IHH ; names(ihh)=c("Anc. Allele","Der. Allele") - - if(plotehh){ - sel_reg<-(colSums(nhaplo_eval)>0) - if(sum(sel_reg)>0){ - matplot(haplohh@position[sel_reg],t(ehh[,sel_reg]),col=c("red","blue"),lty=1, - type="l",main=main_leg,bty="n",xlab="Position",ylab="EHH") - abline(v=haplohh@position[mrk],lty=2) - legend("left","top",c("Anc. Allele","Der. Allele"),col=c("red","blue"),bty="n",lty=1) - } - } - - return(list(ehh=ehh,nhaplo_eval=nhaplo_eval,freq_all1=nhaplo_eval[1,mrk]/sum(nhaplo_eval[,mrk]),ihh=ihh)) - +calc_ehh <- function(haplohh,mrk,limhaplo = 2,limehh = 0.05,plotehh = TRUE,lty = 1,lwd = 1.5,col = c("blue","red"),xlab = "Position",ylab = expression(Extended~haplotype~homozygosity~(italic(EHH))),cex.lab = 1.25,main = NA,cex.main = 1.5) { + if (!(is.haplohh(haplohh))) {stop("The data are not formatted as a valid haplohh object... (see the data2haplohh() function)")} + if (mrk < 1 | mrk > haplohh@nsnp) {stop(paste("The focal SNP index must lie between",1,"and",haplohh@nsnp))} + if (limhaplo < 2) {stop("limhaplo must be larger than 1")} + if (limehh < 0 | limehh > 1) {stop("limehh must lie between 0 and 1")} + ehh <- nhaplo_eval <- matrix(0,nrow = haplohh@nsnp,ncol = 2) + ihh <- rep(0,2) + res.ehh <- .C("CALL_EHH", + Rdata = as.integer(haplohh@haplo), + focal_SNP = as.integer(mrk), + number_SNPs = as.integer(haplohh@nsnp), + number_chromosomes = as.integer(haplohh@nhap), + number_haplotypes = as.integer(nhaplo_eval), + min_number_haplotypes = as.integer(limhaplo), + min_EHH = as.double(limehh), + map = as.double(haplohh@position), + EHH = as.double(ehh), + IHH = as.double(ihh) + ) + nhaplo_eval = matrix(res.ehh$number_haplotypes,2,haplohh@nsnp,byrow = T) + ehh = matrix(res.ehh$EHH,2,haplohh@nsnp,byrow = T) + rownames(ehh) = rownames(nhaplo_eval) = c("Ancestral allele","Derived allele") + colnames(ehh) = colnames(nhaplo_eval) = haplohh@snp.name + ihh = res.ehh$IHH + names(ihh) = c("Ancestral allele","Derived allele") + if (plotehh) { + sel_reg <- (colSums(nhaplo_eval) > 0) + if (sum(sel_reg) > 0) { + if (max(haplohh@position[sel_reg]) < 1e3) { + scale <- 1 + unit = "(bp)" + } + else if (max(haplohh@position[sel_reg]) < 1e6) { + scale <- 1e3 + unit = "(kb)" + } + else if (max(haplohh@position[sel_reg]) < 1e9) { + scale <- 1e6 + unit = "(Mb)" + } + else { + scale <- 1e9 + unit = "(Gb)" + } + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + matplot(haplohh@position[sel_reg] / scale,t(ehh[,sel_reg]),col = col,type = "l",lty = lty,lwd = lwd,main = main,bty = "n",xlab = paste(xlab,unit),ylab = ylab,cex.lab = cex.lab, cex.main = cex.main) + abline(v = haplohh@position[mrk] / scale,lty = 2) + if (haplohh@position[mrk] > sum(range(haplohh@position[sel_reg])) / 2) { + legend("topleft",c("Ancestral allele","Derived allele"),col = col,bty = "n",lty = lty,lwd = lwd) + } + else { + legend("topright",c("Ancestral allele","Derived allele"),col = col,bty = "n",lty = lty,lwd = lwd) + } + } + } + return(list(ehh = ehh,nhaplo_eval = nhaplo_eval,freq_all1 = nhaplo_eval[1,mrk] / sum(nhaplo_eval[,mrk]),ihh = ihh)) } diff --git a/R/calc_ehhs.R b/R/calc_ehhs.R index 13440c5..2f02018 100644 --- a/R/calc_ehhs.R +++ b/R/calc_ehhs.R @@ -1,36 +1,69 @@ -calc_ehhs<-function(haplohh,mrk,limhaplo=2,limehhs=0.05,plotehhs=TRUE,main_leg="EHHS plot"){ - if(!(is.haplohh(haplohh))){stop("Data oject is not of valid haplohh object... (see data2haplohh() function)")} - if(mrk<1 | mrk>haplohh@nsnp){stop(paste("Focal snp index must be between",1,"and",haplohh@nsnp))} - if(limhaplo<2){stop("limhaplo must be >1")} - if(limehhs<0 | limehhs>1){stop("limehhs must be between 0 and 1")} - - nhaplo_eval<-rep(0,haplohh@nsnp) ; ehhs<-rep(0,haplohh@nsnp) ; ies<-0 - res.ehhs<-.C("r_ehhs", - Rdata = as.integer(haplohh@haplo), - number_SNPs = as.integer(haplohh@nsnp), - number_chromosomes = as.integer(haplohh@nhap), - focal_SNP = as.integer(mrk), - map = as.double(haplohh@position), - number_haplotypes = as.integer(nhaplo_eval), - EHHS = as.double(ehhs), - IES = as.double(ies), - min_number_haplotypes = as.integer(limhaplo), - min_EHH = as.double(limehhs) - ) +calc_ehhs <- function(haplohh,mrk,limhaplo = 2,limehhs = 0.05,plotehhs = TRUE,lty = 1,lwd = 1.5,col = c("blue","red"),xlab = "Position",ylab = expression(Site~specific~italic(EHH)~(italic(EHHS))),cex.lab = 1.25,main = NA,cex.main = 1.5) { - ehhs=res.ehhs$EHHS ; nhaplo_eval=res.ehhs$number_haplotypes - names(ehhs)=names(nhaplo_eval)=haplohh@snp.name - + if (!(is.haplohh(haplohh))) {stop("The data are not formatted as a valid haplohh object... (see the data2haplohh() function)")} + if (mrk < 1 | mrk > haplohh@nsnp) {stop(paste("The focal SNP index must lie between",1,"and",haplohh@nsnp))} + if (limhaplo < 2) {stop("limhaplo must be larger than 1")} + if (limehhs < 0 | limehhs > 1) {stop("limehhs must lie between 0 and 1")} - if(plotehhs){ - sel_reg<-(nhaplo_eval>0) - if(sum(sel_reg)>0){ - plot(haplohh@position[sel_reg],ehhs[sel_reg],col=c("red"),lty=1, - type="l",main=main_leg,bty="n",xlab="Position",ylab="EHHS") - abline(v=haplohh@position[mrk],lty=2) - } - } - - return(list(ehhs=ehhs,nhaplo_eval=nhaplo_eval,ies=res.ehhs$IES)) + nhaplo_eval <- ehhs_tang <- ehhs_sabeti <- rep(0,haplohh@nsnp) + ies_tang <- ies_sabeti <- 0 + res.ehhs <- .C("CALL_EHHS", + Rdata = as.integer(haplohh@haplo), + focal_SNP = as.integer(mrk), + number_SNPs = as.integer(haplohh@nsnp), + number_chromosomes = as.integer(haplohh@nhap), + number_haplotypes = as.integer(nhaplo_eval), + min_number_haplotypes = as.integer(limhaplo), + min_EHHS = as.double(limehhs), + map = as.double(haplohh@position), + EHHS_TANG = as.double(ehhs_tang), + IES_TANG = as.double(ies_tang), + EHHS_SABETI = as.double(ehhs_sabeti), + IES_SABETI = as.double(ies_sabeti) + ) + + nhaplo_eval = res.ehhs$number_haplotypes + ehhs_tang = res.ehhs$EHHS_TANG + ies_tang = res.ehhs$IES_TANG + ehhs_sabeti = res.ehhs$EHHS_SABETI + ies_sabeti = res.ehhs$IES_SABETI + names(ehhs_tang) = names(ehhs_sabeti) = names(nhaplo_eval) = haplohh@snp.name + + if (plotehhs) { + sel_reg <- (nhaplo_eval > 0) + if (sum(sel_reg) > 0) { + if (max(haplohh@position[sel_reg]) < 1e3) { + scale <- 1 + unit = "(bp)" + } + else if (max(haplohh@position[sel_reg]) < 1e6) { + scale <- 1e3 + unit = "(kb)" + } + else if (max(haplohh@position[sel_reg]) < 1e9) { + scale <- 1e6 + unit = "(Mb)" + } + else { + scale <- 1e9 + unit = "(Gb)" + } + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(haplohh@position[sel_reg] / scale,ehhs_sabeti[sel_reg],col = col[1],type = "l",lty = lty,lwd = lwd,main = main,bty = "n",xlab = paste(xlab,unit),ylab = ylab,cex.lab = cex.lab, cex.main = cex.main) + lines(haplohh@position[sel_reg] / scale,ehhs_tang[sel_reg],col = col[2],lty = lty,lwd = lwd) + abline(v = haplohh@position[mrk] / scale,lty = 2) + if (haplohh@position[mrk] > sum(range(haplohh@position[sel_reg])) / 2) { + legend("topleft",c("Sabeti et al. (2007)","Tang et al. (2007)"),col = col,bty = "n",lty = lty,lwd = lwd) + + } + else { + legend("topright",c("Sabeti et al. (2007)","Tang et al. (2007)"),col = col,bty = "n",lty = lty,lwd = lwd) + } + } + } + + return(list(nhaplo_eval = nhaplo_eval,EHHS_Tang_et_al_2007 = ehhs_tang,IES_Tang_et_al_2007 = ies_tang,EHHS_Sabeti_et_al_2007 = ehhs_sabeti,IES_Sabeti_et_al_2007 = ies_sabeti)) } diff --git a/R/data2haplohh.R b/R/data2haplohh.R index fd5aa12..1dc4db7 100644 --- a/R/data2haplohh.R +++ b/R/data2haplohh.R @@ -1,5 +1,5 @@ setClass(Class = "haplohh", - representation(haplo = "matrix",position = "numeric",snp.name="character",chr.name = "numeric",nhap = "numeric",nsnp = "numeric") + representation(haplo = "matrix",position = "numeric",snp.name="character",chr.name = "character",nhap = "numeric",nsnp = "numeric") ) @@ -14,23 +14,25 @@ make.example.files <- function() { file.copy(system.file('bta12_hapguess_switch.out',package='rehh'),'bta12_hapguess_switch.out') file.copy(system.file('map.inp',package='rehh'),'map.inp') file.copy(system.file('bta12_cgu.hap',package='rehh'),'bta12_cgu.hap') + file.copy(system.file('bta12_cgu.thap',package='rehh'),'bta12_cgu.thap') } -data2haplohh<-function(hap_file,map_file,min_maf=0,min_perc_geno.hap=100,min_perc_geno.snp=100,chr.name=NA,popsel=NA,recode.allele=FALSE){ +data2haplohh<-function(hap_file,map_file,min_maf=0,min_perc_geno.hap=100,min_perc_geno.snp=100,chr.name=NA,popsel=NA,recode.allele=FALSE,haplotype.in.columns=FALSE){ res<-new("haplohh") - +if(min_perc_geno.hap<0 | min_perc_geno.hap>100){stop("The value for the argument min_perc_geno.hap should lie between 0 and 100")} +if(min_perc_geno.snp<0 | min_perc_geno.snp>100){stop("The value for the argument min_perc_geno.snp should lie between 0 and 100")} #####Fichier map (verification) -map<-read.table(map_file,row.names=1) #snp name, chromosome, position, allele ancestral, allele derive +map<-read.table(map_file,row.names=1,colClasses="character") #snp name, chromosome, position, allele ancestral, allele derive if(ncol(map)!=4){ cat("Wrong format for map data file: ",map_file,"\n Should contain 5 columns (Snp name, Chromosome Number, Position, Ancestral Allele and Derived Allele) and no header\n") stop("Conversion stopped") }else{ - tmp_chr=unique(as.numeric(map[,1])) + tmp_chr=unique(as.character(map[,1])) if(length(tmp_chr)!=1 & is.na(chr.name)){ cat("More than one chromosome name in Map file:",map_file,"\n") repeat { - cat('Which chromosome should be considered among:',tmp_chr,"\n") - chr.name <- scan(file = '',n = 1,what = integer(0),quiet = TRUE) + cat('Which chromosome should be considered among:\n',tmp_chr,"\n") + chr.name <- scan(file = '',n = 1,what = character(),quiet = TRUE) if (chr.name %in% tmp_chr) break } } @@ -41,16 +43,16 @@ map<-read.table(map_file,row.names=1) #snp name, chromosome, position, allele an if(nrow(map)==0){ cat("No SNPs mapping to chromosome ",chr.name," are found in the map file\n") tmp_chr=unique(as.character(map[,1])) - cat("Here is the list of chromosome names in the map file:",tmp_chr,"\n") + cat("Here is the list of chromosome names in the map file:\n",tmp_chr,"\n") stop("Conversion stopped") } #premier checks OK - res@chr.name<-chr.name + res@chr.name<-as.character(chr.name) res@snp.name<-tmp_nom tmp_pos<-as.numeric(map[,2]) if(sum(diff(tmp_pos)<0)>0){ - stop("SNP should be ordered on the map, check also that both haplotypes (column of haplo) and map (row of map) are ordered in the same way")} + stop("SNP should be ordered on the map, check also that both haplotypes (column of haplo)\nand map (row of map) are ordered in the same way")} if(sum(diff(tmp_pos)==0)>0){ warning("Some SNPs map to the same position")} res@position<-tmp_pos @@ -60,10 +62,22 @@ res@nsnp=nrow(map) cat("Map file seems OK:",res@nsnp," SNPs declared for chromosome",res@chr.name,"\n") ###Fichier haplo - -out_fphase<-scan(hap_file,what="character",sep="\n",quiet=TRUE,nlines=15) -test_fphase_1=grep("fastPHASE",out_fphase) -test_fphase_2=grep("BEGIN COMMAND_LINE",out_fphase) +if(haplotype.in.columns){ + cat("Haplotype are in columns with no header\n") + tmp.nhap=length(unlist(strsplit(readLines(hap_file,n=1),split="\t|\\s+"))) + tmp_haplos=matrix(scan(hap_file,what="character",quiet=TRUE),nrow=tmp.nhap) +# tmp_haplos=t(as.matrix(read.table(hap_file,colClasses="numeric"))) +# tmp_haplos=readChar(hap_file,file.info(hap_file)$size,useBytes=T) +# tmp_haplos=matrix(strsplit(gsub(tmp_haplos,pattern="\n|\t|\\s+",replacement=" "),split=" ",useBytes=T,fixed=T)[[1]],nrow=182) + tmp.nsnp=ncol(tmp_haplos) + if(tmp.nsnp!=res@nsnp){ + cat("The number of snp in the haplotypes",tmp.nsnp," is not equal\nto the number of snps declared in the map file",res@nsnp,"\n") + stop("Conversion stopped") + } +}else{ + out_fphase<-scan(hap_file,what="character",sep="\n",quiet=TRUE,nlines=15) + test_fphase_1=grep("fastPHASE",out_fphase) + test_fphase_2=grep("BEGIN COMMAND_LINE",out_fphase) if(length(test_fphase_1)>0 & length(test_fphase_2)>0){ #fichier fastphase cat("Looks like a FastPHASE haplotype file\n") @@ -85,7 +99,7 @@ test_fphase_2=grep("BEGIN COMMAND_LINE",out_fphase) cat("Haplotypes originate from ",length(liste_pop)," different populations in the fastPhase output file\n") if(!(popsel %in% pop_label)){ - cat("Chosen pop. is not in the list of pop. number:",liste_pop,"\n") + cat("Chosen pop. is not in the list of pop. number:\n",liste_pop,"\n") popsel=NA } if(is.na(popsel)){ #on demande interactivement la pop a selectionner @@ -103,7 +117,7 @@ test_fphase_2=grep("BEGIN COMMAND_LINE",out_fphase) if(!(is.na(popsel))){ #bizarre car pas de sous population observe cat('No popsel are thus considered:',liste_pop,"\n") } -} + } nlignes=length(out_fphase) ; nind=nlignes/3 ; nhap=2*nind tmp_haplos=matrix(,nhap,res@nsnp) @@ -122,42 +136,41 @@ test_fphase_2=grep("BEGIN COMMAND_LINE",out_fphase) }else{tmp_haplos[hap2_index,]=hap2} } -}else{ #fichier au format standard + }else{ #fichier au format standard cat("Standard rehh input file assumed\n") - tmp_haplos=as.matrix(read.table(hap_file,row.names=1)) - if(ncol(tmp_haplos)!=res@nsnp){ - cat("The number of snp in the haplotypes",ncol(tmp_haplos)," is not equal to the number of snps declared in the map file",res@nsnp,"\n") + tmp.ncol=length(unlist(strsplit(readLines(hap_file,n=1),split="\t|\\s+"))) #retrocompatibilite: ca marchait avec la tabulation avant + tmp.nsnp=tmp.ncol-1 #retrocompatibilite: les haplos contiennent un ID + if(tmp.nsnp!=res@nsnp){ + cat("The number of snp in the haplotypes",tmp.nsnp," is not equal\nto the number of snps declared in the map file",res@nsnp,"\n") stop("Conversion stopped") - } -} - + } + tmp_haplos=matrix(scan(hap_file,what="character",quiet=TRUE),ncol=tmp.ncol,byrow=TRUE)[,-1] + } + } res@nhap=nrow(tmp_haplos) - ##recodage des alleles si necessaire - if(recode.allele){ - cat("Please Wait: alleles are recoded according to map file as: 0 (missing data), 1 (ancestral allele) or 2 (derived allele)\n") - res@haplo=matrix(0,res@nhap,res@nsnp) - anc_allele=as.character(map[,3]) ; der_allele=as.character(map[,4]) - for(i in 1:res@nsnp){ - all_anc= (as.character(tmp_haplos[,i])==anc_allele[i]) - all_der= (as.character(tmp_haplos[,i])==der_allele[i]) - all_miss= ((all_anc + all_der)==0) - res@haplo[all_anc,i]=1 ; res@haplo[all_der,i]=2 ; res@haplo[all_miss,i]=0 - tmp_nmiss=sum(all_miss) - if(tmp_nmiss>0){cat(tmp_nmiss," missing allele for SNP: ",res@snp.name[i],"\n")} - if(i%%10==0){cat("SNP #",i," out of",res@nsnp,"\n")} - } + if(recode.allele){ + cat("Alleles are being recoded according to map file as:\n\t0 (missing data), 1 (ancestral allele) or 2 (derived allele)\n") + anc_allele=matrix(rep(map[,3],res@nhap),res@nhap,res@nsnp,byrow=TRUE) + all_anc=tmp_haplos==anc_allele + rm(anc_allele) + der_allele=matrix(rep(map[,4],res@nhap),res@nhap,res@nsnp,byrow=TRUE) + all_der=tmp_haplos==der_allele + rm(der_allele) + rm(tmp_haplos) + res@haplo=matrix(0,res@nhap,res@nsnp) + res@haplo[all_anc]=1 ; res@haplo[all_der]=2 }else{ - if(sum(!(tmp_haplos==0 | tmp_haplos==1 | tmp_haplos==2 ))>0){ - cat("Alleles are not coded in the appropriate format: 0 (missing data), 1 (ancestral allele) or 2 (derived allele)\n") - cat("Check your data or use recode.allele=TRUE option to recode according to the map information\n") - stop("Conversion stopped") - } - res@haplo=matrix(as.numeric(tmp_haplos),res@nhap,res@nsnp) - } - + if(sum(!(tmp_haplos=="0" | tmp_haplos=="1" | tmp_haplos=="2" ))>0){ + cat("Alleles are not coded in the appropriate format:\n\t0 (missing data), 1 (ancestral allele) or 2 (derived allele)\n") + cat("Check your data or use recode.allele=TRUE option to recode according to the map information\n") + stop("Conversion stopped") + } + res@haplo=matrix(as.numeric(tmp_haplos),res@nhap,res@nsnp) + rm(tmp_haplos) + } #selection des haplos d'apres les donnees manquantes - if(min_perc_geno.hap<100){ +# if( !(is.na(min_perc_geno.hap)) ){ cat("Discard Haplotype with less than ",min_perc_geno.hap,"% of genotyped SNPs\n") hap_sel=(100*rowSums(res@haplo!=0)/res@nsnp)>=min_perc_geno.hap if(sum(hap_sel)==res@nhap){ @@ -168,14 +181,14 @@ test_fphase_2=grep("BEGIN COMMAND_LINE",out_fphase) res@nhap=sum(hap_sel) cat(res@nhap," Haplos remaining\n") } - } - + if(res@nhap==0){stop("No haplotype left after filtering of missing data: check allele coding (e.g., correspondance of allele coding between the map_inp and haplotype input file) data or relax the value of min_perc_geno.hap to allow for more missing data")} +# } #selection des snps d'apres les donnees manquantes - if(min_perc_geno.snp<100){ +# if( !(is.na(min_perc_geno.snp)) ){ cat("Discard SNPs genotyped on less than ",min_perc_geno.snp,"% of haplotypes\n") snp_sel=(100*colSums(res@haplo!=0)/res@nhap)>=min_perc_geno.snp if(sum(snp_sel)==res@nsnp){ - cat("No SNPs discarded\n") + cat("No SNP discarded\n") }else{ cat(res@nsnp-sum(snp_sel)," SNPs discarded\n") res@haplo=res@haplo[,snp_sel] @@ -184,16 +197,17 @@ test_fphase_2=grep("BEGIN COMMAND_LINE",out_fphase) res@snp.name=res@snp.name[snp_sel] cat(res@nsnp," SNPs remaining\n") } - } + if(res@nsnp==0){stop("No SNP left after filtering of missing data: check allele coding (e.g., correspondance ofallele coding between the map_inp and haplotype input file) data or relax the value of min_perc_geno.snp to allow for more missing data")} + # } #selection des snps sur MAF if(min_maf>0){ cat("Discard SNPs with MAF below ",min_maf,"\n") - tmp_n1=colSums(res@haplo==1) ; tmp_maf=tmp_n1/(tmp_n1 + colSums(res@haplo==2)) - tmp_maf[tmp_maf>0.5]=1-tmp_maf[tmp_maf>0.5] + tmp_n1=colSums(res@haplo==1) ; tmp_n=colSums(res@haplo!=0) + tmp_maf=0.5-abs(0.5-tmp_n1/tmp_n) snp_sel=tmp_maf>min_maf if(sum(snp_sel)==res@nsnp){ - cat("No SNPs discarded\n") + cat("No SNP discarded\n") }else{ cat(res@nsnp-sum(snp_sel)," SNPs discarded\n") res@haplo=res@haplo[,snp_sel] @@ -202,6 +216,7 @@ test_fphase_2=grep("BEGIN COMMAND_LINE",out_fphase) res@snp.name=res@snp.name[snp_sel] cat(res@nsnp," SNPs remaining\n") } + rm(tmp_n1) ; rm(tmp_n) ; rm(tmp_maf) } cat("Data consists of",res@nhap,"haplotypes and",res@nsnp,"SNPs\n") diff --git a/R/distribplot.R b/R/distribplot.R index 572adb5..c4b8a95 100644 --- a/R/distribplot.R +++ b/R/distribplot.R @@ -1,5 +1,16 @@ -distribplot<-function(data,col=c("blue","red"),main="iHS distribution",xlab="iHS"){ - plot(density(data,na.rm=T),main=main,xlab="iHS",col=col[1]) - curve(dnorm,col=col[2],add=T) - legend("right","top",c("Observed","Gaussian"),fill=col) - } +distribplot <- function(data,lty = 1,lwd = 1.5,col = c("blue","red"),main = "Genome-wide distribution",xlab = "",cex.main = 1.5,cex.lab = 1.25,qqplot = TRUE) { + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(density(data,na.rm = TRUE),main = main,xlab = xlab,col = col[1],lty = lty,lwd = lwd,cex.main = cex.main,cex.lab = cex.lab) + curve(dnorm,col = col[2],add = TRUE) + legend("topright",c("Observed","Gaussian"),bty = "n",col = col,lty = lty,lwd = lwd) + if (qqplot) { + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + qqnorm(data[!is.na(data)],cex.main = cex.main,cex.lab = cex.lab,pch = 16,cex = 0.75) + abline(a=0,b=1,lty=2) + } + par(mar = c(5,4,4,2) + 0.1) +} diff --git a/R/ies2rsb.R b/R/ies2rsb.R index 60a6d5b..630d10b 100644 --- a/R/ies2rsb.R +++ b/R/ies2rsb.R @@ -1,18 +1,25 @@ -ies2rsb<-function(hh_pop1,hh_pop2,popname1=NA,popname2=NA,method="bilateral"){ - - ies_1=hh_pop1[,6] ; ies_2=hh_pop2[,6] - if(!(nrow(hh_pop1)==nrow(hh_pop2))){stop("hh_pop1 and hh_pop2 must have the same dimensions")} - if(sum(hh_pop1[,2]==hh_pop2[,2])minmaf & res_ihh[,3]<(1-minmaf) , ] - res_ihs=cbind(res_ihh[,1:2],rep(0,nrow(res_ihh))) - colnames(res_ihs)[3]="iHS" ; rownames(res_ihs)=rownames(res_ihh) - if(freqbin>0){ - freq_class=seq(minmaf,1-minmaf,freqbin) - summary_class=matrix(0,length(freq_class)-1,4) ; colnames(summary_class)=c("Freq Class","Size","Mean iHH","SD iHH") - ihs=log(res_ihh[,4]/res_ihh[,5]) ; ihs[ihs=="Inf" | ihs=="-Inf"]=NA - for(c in 1:(length(freq_class)-1)){ - lim_inf=freq_class[c] ; lim_sup=freq_class[c+1] - mrk_sel=(res_ihh[,3]>=lim_inf & res_ihh[,3] minmaf) & (res_ihh$freq_A < (1 - minmaf)),] + if (freqbin > 0) { + freq_class = seq(minmaf,(1 - minmaf),freqbin) + summary_class = matrix(0,length(freq_class) - 1,3) + colnames(summary_class) = c("Number of SNPs","mean of the log(iHHA/iHHD) ratio","sd of the log(iHHA/iHHD) ratio") + tmp.classnames=rep(NA,nrow(summary_class)) + ihs = log(res_ihh$iHH_A / res_ihh$iHH_D) + ihs[ihs == "Inf" | ihs == "-Inf"] = NA + for (c in 1:(length(freq_class) - 1)) { + lim_inf = freq_class[c] + lim_sup = freq_class[c + 1] + mrk_sel = ((res_ihh$freq_A >= lim_inf) & (res_ihh$freq_A < lim_sup)) + bin_size = sum(mrk_sel) + if (bin_size < 10) { + warning(paste("The number of SNPs with allele frequencies comprised between ",lim_inf," and ",lim_sup," is less than 10: you should probably increase freqbin\n",sep="")) + } + tmp.classnames[c]= paste(lim_inf,"-",lim_sup) + summary_class[c,1] = bin_size + summary_class[c,2] = mean(ihs[mrk_sel],na.rm = TRUE) + summary_class[c,3] = sd(ihs[mrk_sel],na.rm = TRUE) + ihs[mrk_sel] = (ihs[mrk_sel] - summary_class[c,2]) / summary_class[c,3] + } + }else { + freq_class = unique(res_ihh$freq_A) + freq_class = freq_class[order(freq_class)] + summary_class = matrix(0,length(freq_class),3) + tmp.classnames=rep(NA,nrow(summary_class)) + colnames(summary_class) = c("Number of SNPs","mean of the iHHA/iHHD log-ratio","sd of the iHHA/iHHD log-ratio") + ihs = log(res_ihh$iHH_A / res_ihh$iHH_D) + for (f in 1:length(freq_class)) { + mrk_sel = (res_ihh$freq_A == freq_class[f]) + tmp.classnames[c] = freq_class[f] + summary_class[f,1] = sum(mrk_sel) + summary_class[f,2] = mean(ihs[mrk_sel],na.rm = TRUE) + summary_class[f,3] = sd(ihs[mrk_sel],na.rm = TRUE) + ihs[mrk_sel] = (ihs[mrk_sel] - summary_class[c,2]) / summary_class[c,3] + } + } + rownames(summary_class)=tmp.classnames + + tmp_pval = -log10(1 - 2 * abs(pnorm(ihs) - 0.5)) + tmp_pval2 = tmp_pval + tmp_pval2[tmp_pval2 == "Inf"] = NA + tmp_pval[tmp_pval == "Inf"] = max(tmp_pval2,na.rm = TRUE) + 1 - return(list(res.ihs=res_ihs,summary.class=summary_class)) + res_ihs = data.frame(res_ihh$CHR,res_ihh$POSITION,ihs,tmp_pval,stringsAsFactors=FALSE,row.names=rownames(res_ihh)) + colnames(res_ihs)=c("CHR","POSITION","iHS","-log10(p-value)") + return(list(iHS = res_ihs,frequency.class = summary_class)) } diff --git a/R/ihsplot.R b/R/ihsplot.R index b949b39..dd39253 100644 --- a/R/ihsplot.R +++ b/R/ihsplot.R @@ -1,20 +1,68 @@ -ihsplot<-function(data,plot.pval="TRUE",ylim.scan=2,pch=16,main="iHS"){ -# if(plot.pval){layout(matrix(1:2,2,1))} - tmp_chr=unique(data[,1]) ; col_chr=1:length(tmp_chr) ; names(col_chr)=tmp_chr ;pos_chr=rep(0,length(tmp_chr)) - tmp_nmrk=table(data[,1]) ; pos_mrk=cumsum(tmp_nmrk) - pos_chr[1]<-floor(pos_mrk[1]/2) - if(length(tmp_chr)>1){for (i in 2:length(tmp_chr)){pos_chr[i]=pos_mrk[i-1] + floor((tmp_nmrk[i]/2))}} - - plot(data[,3],pch=pch,las=1,col=col_chr[as.character(data[,1])],xaxt="n",xlab="Chromosome",ylab="iHS",main=main) - abline(h=ylim.scan,lty=2) ; abline(h=-1*ylim.scan,lty=2) - axis(1,at=pos_chr,labels=tmp_chr,las=1) - - if(plot.pval){ - plot(data[,4],pch=pch,las=1,col=col_chr[as.character(data[,1])],xaxt="n",xlab="Chromosome",main="Pvalue", - ylab=expression("-" * log[10] * "[" ~ "1-2|" * Phi[scriptstyle(italic(iHS))] * "-0.5|" ~ "]")) - abline(h=ylim.scan,lty=2) ; abline(h=-1*ylim.scan,lty=2) - axis(1,at=pos_chr,labels=tmp_chr,las=1) - abline(h=ylim.scan,lty=2) ; abline(h=-1*ylim.scan,lty=2) - } -#layout(matrix(1,1,1)) - } +ihsplot <- function(ihsdata,plot.pval = TRUE,ylim.scan = 2,pch = 16,cex = 0.5,cex.lab = 1.25,main = NA,cex.main = 1.5,cex.axis=1.) { + if(is.null(ihsdata$iHS) | is.null(ihsdata$frequency.class)){stop("The ihsdata list is invalid and was not generated by the ihh2ihs() function...")} + data=ihsdata$iHS +# if (colnames(data)[3] != "iHS") {stop("Unrecognized column name for iHS: the data is not a data frame generated by the ihh2ihs() function...")} + lst_chrm <- unique(data$CHR) + nbr_chrm <- length(lst_chrm) + cum <- rep(0,(nbr_chrm + 1)) + if (nbr_chrm > 1) { + for (i in 1:nbr_chrm) { + cum[i + 1] <- tail(data$POSITION[data$CHR == lst_chrm[i]],n = 1) + } + } + cum <- cumsum(cum) + pos <- rep(0,length(data$CHR)) + pos_labels <- rep(0,nbr_chrm) + for (i in 1:nbr_chrm) { + pos[data$CHR == lst_chrm[i]] <- data$POSITION[data$CHR == lst_chrm[i]] + cum[which(lst_chrm == lst_chrm[i])] + pos_labels[i] <- (cum[i] + cum[i + 1]) / 2 + } + col_chr <- data$CHR + if (nbr_chrm > 1) { + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos,data$iHS,pch = pch,cex = cex,las = 1,col = col_chr,xaxt = "n",xlab = "Chromosome",ylab = expression(italic(iHS)),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + axis(1,at = pos_labels,labels = lst_chrm,las = 1,cex.lab=cex.lab,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + if (plot.pval) { + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos,data$"-log10(p-value)",pch = pch,cex = cex,las = 1,col = col_chr,xaxt = "n",xlab = "Chromosome",ylab = expression("-"*log[10]*"[1"~"-"~"2"~"|"~Phi[scriptstyle(italic(iHS))]~"-"~0.5*"|]"),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + axis(1,at = pos_labels,labels = lst_chrm,las = 1,cex.lab=cex.lab,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + } + } + else { + if (max(pos) < 1e3) { + scale <- 1 + unit = "(bp)" + } + else if (max(pos) < 1e6) { + scale <- 1e3 + unit = "(kb)" + } + else if (max(pos) < 1e9) { + scale <- 1e6 + unit = "(Mb)" + } + else { + scale <- 1e9 + unit = "(Gb)" + } + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos / scale,data$iHS,pch = pch,col = col_chr,xlab = paste("Position",unit),ylab = expression(italic(iHS)),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + if (plot.pval) { + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos / scale,data$"-log10(p-value)",pch = pch,col = col_chr,xlab = paste("Position",unit),ylab = expression("-"*log[10]*"[1"~"-"~"2"~"|"~Phi[scriptstyle(italic(iHS))]~"-"~0.5*"|]"),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + } + } + par(mar = c(5,4,4,2) + 0.1) +} diff --git a/R/rsbplot.R b/R/rsbplot.R index a2f097f..965a590 100644 --- a/R/rsbplot.R +++ b/R/rsbplot.R @@ -1,30 +1,76 @@ -rsbplot<-function(data,plot.pval="TRUE",ylim.scan=2,pch=16,main=NA){ - tmp.plot=0 - if(colnames(data)[4]=="Pvalue (bilateral)"){yleg=expression("-" * log[10] * "[" ~ "1-2|" * Phi[scriptstyle(italic(rSB))] * "-0.5|" ~ "]");tmp.plot=1} - if(colnames(data)[4]=="Pvalue (unilateral)"){yleg=expression("-" * log[10] * "[" ~ "1-" * Phi[scriptstyle(italic(rSB))] * "" ~ "]");tmp.plot=1} - if(tmp.plot==0){ - warning("Unrecognized column name for Pvalue: plot.pval has been turned off") - plot.pval="FALSE" - } - - if(is.na(main)){main=colnames(data)[3]} - -# if(plot.pval){layout(matrix(1:2,2,1))} - tmp_chr=unique(data[,1]) ; col_chr=1:length(tmp_chr) ; names(col_chr)=tmp_chr ;pos_chr=rep(0,length(tmp_chr)) - tmp_nmrk=table(data[,1]) ; pos_mrk=cumsum(tmp_nmrk) - pos_chr[1]<-floor(pos_mrk[1]/2) - if(length(tmp_chr)>1){for (i in 2:length(tmp_chr)){pos_chr[i]=pos_mrk[i-1] + floor((tmp_nmrk[i]/2))}} - - plot(data[,3],pch=pch,las=1,col=col_chr[as.character(data[,1])],xaxt="n",xlab="Chromosome",main=main,ylab="rSB") - abline(h=ylim.scan,lty=2) ; abline(h=-1*ylim.scan,lty=2) - axis(1,at=pos_chr,labels=tmp_chr,las=1) - - if(plot.pval){ - plot(data[,4],pch=pch,las=1,col=col_chr[as.character(data[,1])],xaxt="n",xlab="Chromosome",main="Pvalue", - ylab=yleg) - abline(h=ylim.scan,lty=2) ; abline(h=-1*ylim.scan,lty=2) - axis(1,at=pos_chr,labels=tmp_chr,las=1) - abline(h=ylim.scan,lty=2) ; abline(h=-1*ylim.scan,lty=2) - } -#layout(matrix(1,1,1)) - } +rsbplot <- function(data,plot.pval = TRUE,ylim.scan = 2,pch = 16,cex = 0.5,cex.lab = 1.25,main = NA,cex.main = 1.5,cex.axis=1) { + if (!(grepl("Rsb",colnames(data)[3]))) {stop("Unrecognized column name for Rsb: the data is not a matrix generated by the ies2rsb() function...")} + if (colnames(data)[4] == "-log10(p-value) [bilateral]") { + yleg = expression("-"*log[10]*"[1"~"-"~"2"~"|"~Phi[scriptstyle(italic(Rsb))]~"-"~0.5*"|]") + } + else if (colnames(data)[4] == "-log10(p-value) [unilateral]") { + yleg = expression("-"*log[10]*"[1"~"-"~Phi[scriptstyle(italic(Rsb))]*"|]") + } + else { + warning("Unrecognized column name for p-values: plot.pval has been turned off") + plot.pval = FALSE + } + lst_chrm <- unique(data$CHR) + nbr_chrm <- length(lst_chrm) + cum <- rep(0,(nbr_chrm + 1)) + if (nbr_chrm > 1) { + for (i in 1:nbr_chrm) { + cum[i + 1] <- tail(data$POSITION[data$CHR == lst_chrm[i]],n = 1) + } + } + cum <- cumsum(cum) + pos <- rep(0,length(data$CHR)) + pos_labels <- rep(0,nbr_chrm) + for (i in 1:nbr_chrm) { + pos[data$CHR == lst_chrm[i]] <- data$POSITION[data$CHR == lst_chrm[i]] + cum[which(lst_chrm == lst_chrm[i])] + pos_labels[i] <- (cum[i] + cum[i + 1]) / 2 + } + col_chr <- data$CHR + if (nbr_chrm > 1) { + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos,data[,3],pch = pch,cex = cex,las = 1,col = col_chr,xaxt = "n",xlab = "Chromosome",ylab = expression(italic(Rsb)),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + axis(1,at = pos_labels,labels = lst_chrm,las = 1,cex.lab=cex.lab,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + if (plot.pval) { + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos,data[,4],pch = pch,cex = cex,las = 1,col = col_chr,xaxt = "n",xlab = "Chromosome",ylab = expression(-log[10]~"("*italic(p)*"-value)"),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + axis(1,at = pos_labels,labels = lst_chrm,las = 1,cex.lab=cex.lab,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + } + } + else { + if (max(pos) < 1e3) { + scale <- 1 + unit = "(bp)" + } + else if (max(pos) < 1e6) { + scale <- 1e3 + unit = "(kb)" + } + else if (max(pos) < 1e9) { + scale <- 1e6 + unit = "(Mb)" + } + else { + scale <- 1e9 + unit = "(Gb)" + } + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos / scale,data[,3],pch = pch,col = col_chr,xlab = paste("Position",unit),ylab = expression(italic(Rsb)),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + if (plot.pval) { + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos / scale,data[,4],pch = pch,col = col_chr,xlab = paste("Position",unit),ylab = expression(-log[10]~"("*italic(p)*"-value)"),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + } + } + par(mar = c(5,4,4,2) + 0.1) +} diff --git a/R/scan_hh.R b/R/scan_hh.R index 4a0538f..080353d 100644 --- a/R/scan_hh.R +++ b/R/scan_hh.R @@ -1,24 +1,35 @@ -scan_hh<-function(haplohh,limhaplo=2,limehh=0.05,limehhs=0.05){ - if(!(is.haplohh(haplohh))){stop("Data oject is not of valid haplohh object... (see data2haplohh() function)")} - if(limhaplo<2){stop("limhaplo must be >1")} - if(limehh<0 | limehh>1){stop("limehh must be between 0 and 1")} - if(limehhs<0 | limehhs>1){stop("limehhs must be between 0 and 1")} - IHH <- matrix(0.0,nrow = haplohh@nsnp,ncol = 2) - IES <- vector(mode = "numeric",length = haplohh@nsnp) - res_scan<-.C("r_scan_hh", - Rdata = as.integer(haplohh@haplo), - number_SNPs = as.integer(haplohh@nsnp), - number_chromosomes = as.integer(haplohh@nhap), - map = as.double(haplohh@position), - IHH = as.double(IHH), - IES = as.double(IES), - min_number_haplotypes = as.integer(limhaplo), - min_EHH = as.double(limehh), - min_EHHS = as.double(limehhs) - ) - tmp_n1=colSums(haplohh@haplo==1) ; tmp_freq=tmp_n1/(tmp_n1 + colSums(haplohh@haplo==2)) - RES_ALL=cbind(rep(haplohh@chr.name,haplohh@nsnp),haplohh@position,tmp_freq,matrix(res_scan$IHH,haplohh@nsnp,2),res_scan$IES) - rownames(RES_ALL)=haplohh@snp.name ; colnames(RES_ALL)=c("CHR","POSITION","FREQ_a","IHHa","IHHd","IES") - return(RES_ALL) - +scan_hh<-function(haplohh,limhaplo = 2,limehh = 0.05,limehhs = 0.05,threads = 1) { + if (!(is.haplohh(haplohh))) {stop("The data are not formatted as a valid haplohh object... (see the data2haplohh() function)")} + if (limhaplo < 2) {stop("limhaplo must be larger than 1")} + if (limehh < 0 | limehh > 1) {stop("limehh must lie between 0 and 1")} + if (limehhs < 0 | limehhs > 1) {stop("limehhs must lie between 0 and 1")} + ihh <- matrix(0.0,nrow = haplohh@nsnp,ncol = 2) + ies_tang <- ies_sabeti <- vector(mode = "numeric",length = haplohh@nsnp) + res_scan <- .C("CALL_SCAN_HH", + Rdata = as.integer(haplohh@haplo), + number_SNPs = as.integer(haplohh@nsnp), + number_chromosomes = as.integer(haplohh@nhap), + min_number_haplotypes = as.integer(limhaplo), + min_EHH = as.double(limehh), + min_EHHS = as.double(limehhs), + map = as.double(haplohh@position), + IHH = as.double(ihh), + IES_TANG = as.double(ies_tang), + IES_SABETI = as.double(ies_sabeti), + number_threads = as.integer(threads) + ) + tmp_n1 = colSums(haplohh@haplo == 1) +# tmp_freq = tmp_n1 / (tmp_n1 + colSums(haplohh@haplo == 2)) +# RES_ALL = cbind(rep(haplohh@chr.name,haplohh@nsnp),haplohh@position,tmp_freq,matrix(res_scan$IHH,haplohh@nsnp,2),res_scan$IES_TANG,res_scan$IES_SABETI) +# rownames(RES_ALL) = haplohh@snp.name +# colnames(RES_ALL) = c("CHR","POSITION","freq_A","iHH_A","iHH_D","iES_Tang_et_al_2007","iES_Sabeti_et_al_2007") + freq_A=tmp_n1 / (tmp_n1 + colSums(haplohh@haplo == 2)) + CHR=rep(haplohh@chr.name,haplohh@nsnp) + POSITION=haplohh@position + tmp.ihh=matrix(res_scan$IHH,haplohh@nsnp,2) + iHH_A=tmp.ihh[,1] + iHH_D=tmp.ihh[,2] + iES_Tang_et_al_2007=res_scan$IES_TANG + iES_Sabeti_et_al_2007=res_scan$IES_SABETI + return(data.frame(CHR,POSITION,freq_A,iHH_A,iHH_D,iES_Tang_et_al_2007,iES_Sabeti_et_al_2007,row.names=haplohh@snp.name,stringsAsFactors=FALSE)) } diff --git a/R/xpehhplot.R b/R/xpehhplot.R new file mode 100644 index 0000000..9f829c9 --- /dev/null +++ b/R/xpehhplot.R @@ -0,0 +1,76 @@ +xpehhplot <- function(data,plot.pval = TRUE,ylim.scan = 2,pch = 16,cex = 0.5,cex.lab = 1.25,main = NA,cex.main = 1.5,cex.axis=1) { + if (!(grepl("XPEHH",colnames(data)[3]))) {stop("Unrecognized column name for XPEHH: the data is not a matrix generated by the ies2xpehh() function...")} + if (colnames(data)[4] == "-log10(p-value) [bilateral]") { + yleg = expression("-"*log[10]*"[1"~"-"~"2"~"|"~Phi[scriptstyle(italic(XPEHH))]~"-"~0.5*"|]") + } + else if (colnames(data)[4] == "-log10(p-value) [unilateral]") { + yleg = expression("-"*log[10]*"[1"~"-"~Phi[scriptstyle(italic(XPEHH))]*"|]") + } + else { + warning("Unrecognized column name for p-values: plot.pval has been turned off") + plot.pval = FALSE + } + lst_chrm <- unique(data$CHR) + nbr_chrm <- length(lst_chrm) + cum <- rep(0,(nbr_chrm + 1)) + if (nbr_chrm > 1) { + for (i in 1:nbr_chrm) { + cum[i + 1] <- tail(data$POSITION[data$CHR == lst_chrm[i]],n = 1) + } + } + cum <- cumsum(cum) + pos <- rep(0,length(data$CHR)) + pos_labels <- rep(0,nbr_chrm) + for (i in 1:nbr_chrm) { + pos[data$CHR == lst_chrm[i]] <- data$POSITION[data$CHR == lst_chrm[i]] + cum[which(lst_chrm == lst_chrm[i])] + pos_labels[i] <- (cum[i] + cum[i + 1]) / 2 + } + col_chr <- data$CHR + if (nbr_chrm > 1) { + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos,data[,3],pch = pch,cex = cex,las = 1,col = col_chr,xaxt = "n",xlab = "Chromosome",ylab = expression(italic(XPEHH)),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + axis(1,at = pos_labels,labels = lst_chrm,las = 1,cex.lab=cex.lab,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + if (plot.pval) { + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos,data[,4],pch = pch,cex = cex,las = 1,col = col_chr,xaxt = "n",xlab = "Chromosome",ylab = expression(-log[10]~"("*italic(p)*"-value)"),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + axis(1,at = pos_labels,labels = lst_chrm,las = 1,cex.lab=cex.lab,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + } + } + else { + if (max(pos) < 1e3) { + scale <- 1 + unit = "(bp)" + } + else if (max(pos) < 1e6) { + scale <- 1e3 + unit = "(kb)" + } + else if (max(pos) < 1e9) { + scale <- 1e6 + unit = "(Mb)" + } + else { + scale <- 1e9 + unit = "(Gb)" + } + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos / scale,data[,3],pch = pch,col = col_chr,xlab = paste("Position",unit),ylab = expression(italic(XPEHH)),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + if (plot.pval) { + dev.new() + plot.new() + par(mar = c(5,5,4,2) + 0.1) + plot(pos / scale,data[,4],pch = pch,col = col_chr,xlab = paste("Position",unit),ylab = expression(-log[10]~"("*italic(p)*"-value)"),cex.lab = cex.lab,main = main,cex.main = cex.main,cex.axis=cex.axis) + abline(h = c(-ylim.scan,ylim.scan),lty = 2) + } + } + par(mar = c(5,4,4,2) + 0.1) +} diff --git a/build/vignette.rds b/build/vignette.rds new file mode 100644 index 0000000000000000000000000000000000000000..775b871d865003db4b2c260cc4893c7e08f6c030 GIT binary 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