Mercurial > repos > davidvanzessen > shm_csr

annotate baseline/comparePDFs.r @ 85:a539d14d66b6 draft

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"planemo upload commit 95767c430ea956636f95ec28bb749a84eabe0156"
author rhpvorderman
date Wed, 27 Oct 2021 09:41:34 +0000
parents 729738462297
children
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83
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1 options("warn"=-1)
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2
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3 #from http://selection.med.yale.edu/baseline/Archive/Baseline%20Version%201.3/Baseline_Functions_Version1.3.r
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4 # Compute p-value of two distributions
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5 compareTwoDistsFaster <-function(sigma_S=seq(-20,20,length.out=4001), N=10000, dens1=runif(4001,0,1), dens2=runif(4001,0,1)){
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6 #print(c(length(dens1),length(dens2)))
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7 if(length(dens1)>1 & length(dens2)>1 ){
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8 dens1<-dens1/sum(dens1)
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9 dens2<-dens2/sum(dens2)
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10 cum2 <- cumsum(dens2)-dens2/2
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11 tmp<- sum(sapply(1:length(dens1),function(i)return(dens1[i]*cum2[i])))
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12 #print(tmp)
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13 if(tmp>0.5)tmp<-tmp-1
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14 return( tmp )
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15 }
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16 else {
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17 return(NA)
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18 }
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19 #return (sum(sapply(1:N,function(i)(sample(sigma_S,1,prob=dens1)>sample(sigma_S,1,prob=dens2))))/N)
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20 }
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21
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22
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23 require("grid")
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24 arg <- commandArgs(TRUE)
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25 #arg <- c("300143","4","5")
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26 arg[!arg=="clonal"]
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27 input <- arg[1]
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28 output <- arg[2]
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29 rowIDs <- as.numeric( sapply(arg[3:(max(3,length(arg)))],function(x){ gsub("chkbx","",x) } ) )
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30
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31 numbSeqs = length(rowIDs)
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32
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33 if ( is.na(rowIDs[1]) | numbSeqs>10 ) {
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34 stop( paste("Error: Please select between one and 10 seqeunces to compare.") )
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35 }
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36
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37 #load( paste("output/",sessionID,".RData",sep="") )
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38 load( input )
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39 #input
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40
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41 xMarks = seq(-20,20,length.out=4001)
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42
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43 plot_grid_s<-function(pdf1,pdf2,Sample=100,cex=1,xlim=NULL,xMarks = seq(-20,20,length.out=4001)){
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44 yMax = max(c(abs(as.numeric(unlist(listPDFs[pdf1]))),abs(as.numeric(unlist(listPDFs[pdf2]))),0),na.rm=T) * 1.1
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45
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46 if(length(xlim==2)){
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47 xMin=xlim[1]
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48 xMax=xlim[2]
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49 } else {
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50 xMin_CDR = xMarks[listPDFs[pdf1][[1]][["CDR"]]>0.001][1]
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51 xMin_FWR = xMarks[listPDFs[pdf1][[1]][["FWR"]]>0.001][1]
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52 xMax_CDR = xMarks[listPDFs[pdf1][[1]][["CDR"]]>0.001][length(xMarks[listPDFs[pdf1][[1]][["CDR"]]>0.001])]
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53 xMax_FWR = xMarks[listPDFs[pdf1][[1]][["FWR"]]>0.001][length(xMarks[listPDFs[pdf1][[1]][["FWR"]]>0.001])]
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54
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55 xMin_CDR2 = xMarks[listPDFs[pdf2][[1]][["CDR"]]>0.001][1]
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56 xMin_FWR2 = xMarks[listPDFs[pdf2][[1]][["FWR"]]>0.001][1]
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57 xMax_CDR2 = xMarks[listPDFs[pdf2][[1]][["CDR"]]>0.001][length(xMarks[listPDFs[pdf2][[1]][["CDR"]]>0.001])]
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58 xMax_FWR2 = xMarks[listPDFs[pdf2][[1]][["FWR"]]>0.001][length(xMarks[listPDFs[pdf2][[1]][["FWR"]]>0.001])]
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59
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60 xMin=min(c(xMin_CDR,xMin_FWR,xMin_CDR2,xMin_FWR2,0),na.rm=TRUE)
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61 xMax=max(c(xMax_CDR,xMax_FWR,xMax_CDR2,xMax_FWR2,0),na.rm=TRUE)
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62 }
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63
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64 sigma<-approx(xMarks,xout=seq(xMin,xMax,length.out=Sample))$x
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65 grid.rect(gp = gpar(col=gray(0.6),fill="white",cex=cex))
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66 x <- sigma
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67 pushViewport(viewport(x=0.175,y=0.175,width=0.825,height=0.825,just=c("left","bottom"),default.units="npc"))
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68 #pushViewport(plotViewport(c(1.8, 1.8, 0.25, 0.25)*cex))
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69 pushViewport(dataViewport(x, c(yMax,-yMax),gp = gpar(cex=cex),extension=c(0.05)))
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70 grid.polygon(c(0,0,1,1),c(0,0.5,0.5,0),gp=gpar(col=grey(0.95),fill=grey(0.95)),default.units="npc")
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71 grid.polygon(c(0,0,1,1),c(1,0.5,0.5,1),gp=gpar(col=grey(0.9),fill=grey(0.9)),default.units="npc")
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72 grid.rect()
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73 grid.xaxis(gp = gpar(cex=cex/1.1))
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74 yticks = pretty(c(-yMax,yMax),8)
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75 yticks = yticks[yticks>(-yMax) & yticks<(yMax)]
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76 grid.yaxis(at=yticks,label=abs(yticks),gp = gpar(cex=cex/1.1))
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77 if(length(listPDFs[pdf1][[1]][["CDR"]])>1){
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78 ycdr<-approx(xMarks,listPDFs[pdf1][[1]][["CDR"]],xout=seq(xMin,xMax,length.out=Sample),yleft=0,yright=0)$y
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79 grid.lines(unit(x,"native"), unit(ycdr,"native"),gp=gpar(col=2,lwd=2))
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80 }
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81 if(length(listPDFs[pdf1][[1]][["FWR"]])>1){
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82 yfwr<-approx(xMarks,listPDFs[pdf1][[1]][["FWR"]],xout=seq(xMin,xMax,length.out=Sample),yleft=0,yright=0)$y
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83 grid.lines(unit(x,"native"), unit(-yfwr,"native"),gp=gpar(col=4,lwd=2))
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84 }
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85
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86 if(length(listPDFs[pdf2][[1]][["CDR"]])>1){
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87 ycdr2<-approx(xMarks,listPDFs[pdf2][[1]][["CDR"]],xout=seq(xMin,xMax,length.out=Sample),yleft=0,yright=0)$y
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88 grid.lines(unit(x,"native"), unit(ycdr2,"native"),gp=gpar(col=2,lwd=2,lty=2))
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89 }
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90 if(length(listPDFs[pdf2][[1]][["FWR"]])>1){
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91 yfwr2<-approx(xMarks,listPDFs[pdf2][[1]][["FWR"]],xout=seq(xMin,xMax,length.out=Sample),yleft=0,yright=0)$y
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92 grid.lines(unit(x,"native"), unit(-yfwr2,"native"),gp=gpar(col=4,lwd=2,lty=2))
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93 }
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94
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95 grid.lines(unit(c(0,1),"npc"), unit(c(0.5,0.5),"npc"),gp=gpar(col=1))
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96 grid.lines(unit(c(0,0),"native"), unit(c(0,1),"npc"),gp=gpar(col=1,lwd=1,lty=3))
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97
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98 grid.text("All", x = unit(-2.5, "lines"), rot = 90,gp = gpar(cex=cex))
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99 grid.text( expression(paste("Selection Strength (", Sigma, ")", sep="")) , y = unit(-2.5, "lines"),gp = gpar(cex=cex))
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100
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101 if(pdf1==pdf2 & length(listPDFs[pdf2][[1]][["FWR"]])>1 & length(listPDFs[pdf2][[1]][["CDR"]])>1 ){
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102 pCDRFWR = compareTwoDistsFaster(sigma_S=xMarks, N=10000, dens1=listPDFs[[pdf1]][["CDR"]], dens2=listPDFs[[pdf1]][["FWR"]])
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103 pval = formatC(as.numeric(pCDRFWR),digits=3)
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104 grid.text( substitute(expression(paste(P[CDR/FWR], "=", x, sep="")),list(x=pval))[[2]] , x = unit(0.02, "npc"),y = unit(0.98, "npc"),just=c("left", "top"),gp = gpar(cex=cex*1.2))
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105 }
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106 grid.text(paste("CDR"), x = unit(0.98, "npc"),y = unit(0.98, "npc"),just=c("right", "top"),gp = gpar(cex=cex*1.5))
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107 grid.text(paste("FWR"), x = unit(0.98, "npc"),y = unit(0.02, "npc"),just=c("right", "bottom"),gp = gpar(cex=cex*1.5))
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108 popViewport(2)
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109 }
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110 #plot_grid_s(1)
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111
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112
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113 p2col<-function(p=0.01){
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114 breaks=c(-.51,-0.1,-.05,-0.01,-0.005,0,0.005,0.01,0.05,0.1,0.51)
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115 i<-findInterval(p,breaks)
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116 cols = c( rgb(0.8,1,0.8), rgb(0.6,1,0.6), rgb(0.4,1,0.4), rgb(0.2,1,0.2) , rgb(0,1,0),
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117 rgb(1,0,0), rgb(1,.2,.2), rgb(1,.4,.4), rgb(1,.6,.6) , rgb(1,.8,.8) )
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118 return(cols[i])
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119 }
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120
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121
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122 plot_pvals<-function(pdf1,pdf2,cex=1,upper=TRUE){
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123 if(upper){
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124 pCDR1FWR2 = compareTwoDistsFaster(sigma_S=xMarks, N=10000, dens1=listPDFs[[pdf1]][["CDR"]], dens2=listPDFs[[pdf2]][["FWR"]])
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125 pFWR1FWR2 = compareTwoDistsFaster(sigma_S=xMarks, N=10000, dens1=listPDFs[[pdf1]][["FWR"]], dens2=listPDFs[[pdf2]][["FWR"]])
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126 pFWR1CDR2 = compareTwoDistsFaster(sigma_S=xMarks, N=10000, dens2=listPDFs[[pdf2]][["CDR"]], dens1=listPDFs[[pdf1]][["FWR"]])
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127 pCDR1CDR2 = compareTwoDistsFaster(sigma_S=xMarks, N=10000, dens2=listPDFs[[pdf2]][["CDR"]], dens1=listPDFs[[pdf1]][["CDR"]])
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128 grid.polygon(c(0.5,0.5,1,1),c(0,0.5,0.5,0),gp=gpar(col=p2col(pFWR1FWR2),fill=p2col(pFWR1FWR2)),default.units="npc")
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129 grid.polygon(c(0.5,0.5,1,1),c(1,0.5,0.5,1),gp=gpar(col=p2col(pCDR1FWR2),fill=p2col(pCDR1FWR2)),default.units="npc")
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130 grid.polygon(c(0.5,0.5,0,0),c(1,0.5,0.5,1),gp=gpar(col=p2col(pCDR1CDR2),fill=p2col(pCDR1CDR2)),default.units="npc")
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131 grid.polygon(c(0.5,0.5,0,0),c(0,0.5,0.5,0),gp=gpar(col=p2col(pFWR1CDR2),fill=p2col(pFWR1CDR2)),default.units="npc")
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132
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133 grid.lines(c(0,1),0.5,gp=gpar(lty=2,col=gray(0.925)))
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134 grid.lines(0.5,c(0,1),gp=gpar(lty=2,col=gray(0.925)))
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135
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136 grid.text(formatC(as.numeric(pFWR1FWR2),digits=3), x = unit(0.75, "npc"),y = unit(0.25, "npc"),just=c("center", "center"),gp = gpar(cex=cex))
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137 grid.text(formatC(as.numeric(pCDR1FWR2),digits=3), x = unit(0.75, "npc"),y = unit(0.75, "npc"),just=c("center", "center"),gp = gpar(cex=cex))
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138 grid.text(formatC(as.numeric(pCDR1CDR2),digits=3), x = unit(0.25, "npc"),y = unit(0.75, "npc"),just=c("center", "center"),gp = gpar(cex=cex))
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139 grid.text(formatC(as.numeric(pFWR1CDR2),digits=3), x = unit(0.25, "npc"),y = unit(0.25, "npc"),just=c("center", "center"),gp = gpar(cex=cex))
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140
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141
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142 # grid.text(paste("P = ",formatC(pCDRFWR,digits=3)), x = unit(0.5, "npc"),y = unit(0.98, "npc"),just=c("center", "top"),gp = gpar(cex=cex))
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143 # grid.text(paste("P = ",formatC(pFWRFWR,digits=3)), x = unit(0.5, "npc"),y = unit(0.02, "npc"),just=c("center", "bottom"),gp = gpar(cex=cex))
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144 }
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145 else{
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146 }
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147 }
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148
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149
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150 ##################################################################################
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151 ################## The whole OCD's matrix ########################################
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152 ##################################################################################
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153
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154 #pdf(width=4*numbSeqs+1/3,height=4*numbSeqs+1/3)
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155 pdf( output ,width=4*numbSeqs+1/3,height=4*numbSeqs+1/3)
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156
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157 pushViewport(viewport(x=0.02,y=0.02,just = c("left", "bottom"),w =0.96,height=0.96,layout = grid.layout(numbSeqs+1,numbSeqs+1,widths=unit.c(unit(rep(1,numbSeqs),"null"),unit(4,"lines")),heights=unit.c(unit(4,"lines"),unit(rep(1,numbSeqs),"null")))))
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158
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159 for( seqOne in 1:numbSeqs+1){
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160 pushViewport(viewport(layout.pos.col = seqOne-1, layout.pos.row = 1))
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161 if(seqOne>2){
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162 grid.polygon(c(0,0,0.5,0.5),c(0,0.5,0.5,0),gp=gpar(col=grey(0.5),fill=grey(0.9)),default.units="npc")
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163 grid.polygon(c(1,1,0.5,0.5),c(0,0.5,0.5,0),gp=gpar(col=grey(0.5),fill=grey(0.95)),default.units="npc")
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164 grid.polygon(c(0,0,1,1),c(1,0.5,0.5,1),gp=gpar(col=grey(0.5)),default.units="npc")
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165
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166 grid.text(y=.25,x=0.75,"FWR",gp = gpar(cex=1.5),just="center")
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167 grid.text(y=.25,x=0.25,"CDR",gp = gpar(cex=1.5),just="center")
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168 }
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169 grid.rect(gp = gpar(col=grey(0.9)))
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170 grid.text(y=.75,substr(paste(names(listPDFs)[rowIDs[seqOne-1]]),1,16),gp = gpar(cex=2),just="center")
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171 popViewport(1)
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172 }
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173
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174 for( seqOne in 1:numbSeqs+1){
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175 pushViewport(viewport(layout.pos.row = seqOne, layout.pos.col = numbSeqs+1))
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176 if(seqOne<=numbSeqs){
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177 grid.polygon(c(0,0.5,0.5,0),c(0,0,0.5,0.5),gp=gpar(col=grey(0.5),fill=grey(0.95)),default.units="npc")
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178 grid.polygon(c(0,0.5,0.5,0),c(1,1,0.5,0.5),gp=gpar(col=grey(0.5),fill=grey(0.9)),default.units="npc")
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179 grid.polygon(c(1,0.5,0.5,1),c(0,0,1,1),gp=gpar(col=grey(0.5)),default.units="npc")
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180 grid.text(x=.25,y=0.75,"CDR",gp = gpar(cex=1.5),just="center",rot=270)
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181 grid.text(x=.25,y=0.25,"FWR",gp = gpar(cex=1.5),just="center",rot=270)
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182 }
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183 grid.rect(gp = gpar(col=grey(0.9)))
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184 grid.text(x=0.75,substr(paste(names(listPDFs)[rowIDs[seqOne-1]]),1,16),gp = gpar(cex=2),rot=270,just="center")
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185 popViewport(1)
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186 }
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187
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188 for( seqOne in 1:numbSeqs+1){
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189 for(seqTwo in 1:numbSeqs+1){
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190 pushViewport(viewport(layout.pos.col = seqTwo-1, layout.pos.row = seqOne))
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191 if(seqTwo>seqOne){
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192 plot_pvals(rowIDs[seqOne-1],rowIDs[seqTwo-1],cex=2)
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193 grid.rect()
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194 }
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195 popViewport(1)
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196 }
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197 }
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198
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199
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200 xMin=0
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201 xMax=0.01
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202 for(pdf1 in rowIDs){
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203 xMin_CDR = xMarks[listPDFs[pdf1][[1]][["CDR"]]>0.001][1]
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204 xMin_FWR = xMarks[listPDFs[pdf1][[1]][["FWR"]]>0.001][1]
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205 xMax_CDR = xMarks[listPDFs[pdf1][[1]][["CDR"]]>0.001][length(xMarks[listPDFs[pdf1][[1]][["CDR"]]>0.001])]
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206 xMax_FWR = xMarks[listPDFs[pdf1][[1]][["FWR"]]>0.001][length(xMarks[listPDFs[pdf1][[1]][["FWR"]]>0.001])]
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207 xMin=min(c(xMin_CDR,xMin_FWR,xMin),na.rm=TRUE)
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208 xMax=max(c(xMax_CDR,xMax_FWR,xMax),na.rm=TRUE)
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209 }
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210
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211
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212
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213 for(i in 1:numbSeqs+1){
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214 for(j in (i-1):numbSeqs){
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215 pushViewport(viewport(layout.pos.col = i-1, layout.pos.row = j+1))
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216 grid.rect()
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217 plot_grid_s(rowIDs[i-1],rowIDs[j],cex=1)
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218 popViewport(1)
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219 }
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220 }
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221
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222 dev.off()
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223
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224 cat("Success", paste(rowIDs,collapse="_"),sep=":")
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225