Minor fixes
git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@5988 348d0f76-0448-11de-a6fe-93d51630548a
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@ -1,8 +1,8 @@
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library("gsalib", lib.loc="/Users/depristo/Desktop/broadLocal/GATK/trunk/R/")
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require("ggplot2")
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require("gplots")
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args = commandArgs(TRUE);
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args = commandArgs(TRUE)
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onCMDLine = ! is.na(args[1])
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LOAD_DATA = F
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@ -21,7 +21,7 @@ if ( onCMDLine ) {
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highlightSamples = c()
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} else {
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ProjectName = "InDevelopmentInR"
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preQCFile <- "~/Desktop/broadLocal/GATK/trunk/qcTestData/GoT2D_exomes_batch_005.cleaned.snps_and_indels.filtered.annotated.preQC.tsv"
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preQCFile <- "~/Desktop/broadLocal/GATK/trunk/qcTestData/GoT2D_exomes_batch_005_per_sample_metrics.tsv"
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VariantEvalRoot <- "~/Desktop/broadLocal/GATK/trunk/qcTestData/GoT2D_exomes_batch_005.cleaned.snps_and_indels.filtered.annotated"
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outputPDF = "bar.pdf"
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highlightSamples = c() # parseHighlightSamples("29029,47243")
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@ -128,8 +128,8 @@ addSection <- function(name) {
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createMetricsBySamples <- function(VariantEvalRoot) {
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byAFEval <- expandVEReport(gsa.read.gatkreport(paste(VariantEvalRoot, ".bySample.eval", sep="")))
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#preQCMetrics <- read.table(preQCFile, header=T)
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r = merge(byAFEval$TiTvVariantEvaluator, byAFEval$CountVariants)
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preQCMetrics <- read.table(preQCFile, header=T)
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r = merge(merge(byAFEval$TiTvVariantEvaluator, byAFEval$CountVariants), preQCMetrics)
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# order the samples by nSNPs -- it's the natural ordering.
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x = subset(r, Novelty=="all")
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@ -188,7 +188,7 @@ perSamplePlots <- function(metricsBySamples) {
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p <- p + facet_grid(variable ~ ., scales="free")
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# how do we remove the labels?
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p <- p + xAxis
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print(p)
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print(p)
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}
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}
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