Compacting pdfs when running under R 2.13+.
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@ -1,5 +1,7 @@
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#!/bin/env Rscript
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library(tools)
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args <- commandArgs(TRUE)
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verbose = TRUE
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@ -47,6 +49,9 @@ if( is.numeric(c$Covariate) ) {
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}
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dev.off()
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if (exists('compactPDF')) {
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compactPDF(outfile)
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}
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#
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# Plot mean quality versus the covariate
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@ -69,6 +74,10 @@ if( is.numeric(c$Covariate) ) {
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}
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dev.off()
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if (exists('compactPDF')) {
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compactPDF(outfile)
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}
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#
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# Plot histogram of the covariate
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#
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@ -106,3 +115,7 @@ if( is.numeric(c$Covariate) ) {
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axis(2,axTicks(2), format(axTicks(2), scientific=F))
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}
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dev.off()
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if (exists('compactPDF')) {
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compactPDF(outfile)
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}
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@ -1,5 +1,7 @@
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#!/bin/env Rscript
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library(tools)
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args <- commandArgs(TRUE)
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input = args[1]
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@ -33,6 +35,10 @@ points(f$Qreported, f$Qempirical, type="p", col="maroon1", pch=16)
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abline(0,1, lty=2)
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dev.off()
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if (exists('compactPDF')) {
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compactPDF(outfile)
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}
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#
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# Plot Q empirical histogram
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#
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@ -52,6 +58,10 @@ points(hst2$f.Qempirical, hst2$f.nBases, type="h", lwd=4, col="maroon1")
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axis(2,axTicks(2), format(axTicks(2), scientific=F))
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dev.off()
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if (exists('compactPDF')) {
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compactPDF(outfile)
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}
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#
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# Plot Q reported histogram
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#
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@ -68,3 +78,7 @@ plot(hst$e.Qreported, hst$e.nBases, type="h", lwd=4, xlim=c(0,maxQ), ylim=c(0,yM
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points(hst2$f.Qreported, hst2$f.nBases, type="h", lwd=4, col="maroon1")
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axis(2,axTicks(2), format(axTicks(2), scientific=F))
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dev.off()
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if (exists('compactPDF')) {
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compactPDF(outfile)
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}
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@ -1,5 +1,7 @@
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#!/bin/env Rscript
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library(tools)
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args <- commandArgs(TRUE)
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verbose = TRUE
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@ -85,3 +87,7 @@ if ( ! is.null(sensitivity) ) {
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}
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dev.off()
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if (exists('compactPDF')) {
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compactPDF(outfile)
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}
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