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now prints a nice report, can be invoked from command line 

git-svn-id: file:///humgen/gsa-scr1/gsa-engineering/svn_contents/trunk@4641 348d0f76-0448-11de-a6fe-93d51630548a
This commit is contained in:
depristo 2010-11-09 19:44:10 +00:00
parent 5ef4b234d8
commit 760f06cf8c
1 changed files with 35 additions and 5 deletions
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40
R/assessCallingPerformance.R
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@ -1,4 +1,16 @@
#d <- read.table("sim_calls.table", header=T)
require("plotrix")
args = commandArgs(TRUE);
onCMDLine = ! is.na(args[1])
file = "sim_calls.table"
info = "interactive R"
if ( onCMDLine ) {
file = args[1]
d <- read.table(file, header=T)
pdf(args[2])
info = args[3]
}
d$sim.VAR <- d$sim.AC > 0
d$called.VAR <- d$called.AC > 0
@ -8,13 +20,23 @@ MODES = unique(d$sim.MODE)
NS = unique(d$called.AN / 2)
DEPTHS = unique(d$sim.DP)
addSection <- function(name) {
par("mar", c(5, 4, 4, 2))
frame()
title(name, cex=2)
}
addSection(paste("Calling performance report: nSamples = ", NS, "\n info:", info))
results <- expand.grid(Q = QS, mode = MODES, nSamples = NS, depth = DEPTHS)
results$sensitivity = 0
results$specificity = 0
determineRates <- function(raw, Q, mode, depth) {
sub <- subset(raw, sim.Q == Q & sim.MODE == mode & sim.DP == depth)
ct <- table(sub$called.VAR, sub$sim.VAR, dnn = c("called.VAR", "sim.VAR"))
print(c(Q,mode,depth, dim(sub)))
ct <- table(sub$called.VAR, sub$sim.VAR, dnn = c("called.VAR", "sim.VAR"), useNA = "always")
print(ct)
sensitivity = ct[2,2] / sum(ct[,2])
specificity = ct[1,1] / sum(ct[,1])
list(sensitivity = sensitivity, specificity = specificity, ct = ct)
@ -28,7 +50,7 @@ for ( i in 1:(dim(results)[1]) ) {
}
for ( depth in DEPTHS )
boxplot(called.AC ~ sim.AC, data = subset(d, called.DP == depth * NS), main = paste("Depth of coverage ", depth), xlab = "Simulation AC", ylab = "Called AC")
boxplot(called.AC ~ sim.AC, data = subset(d, called.DP == depth * NS), main = paste("Depth of coverage ", depth), xlab = "Simulation AC", ylab = "Called AC", outwex=0.5, col = "cornflowerblue")
print(results)
@ -36,6 +58,14 @@ par(mfcol=c(2,1))
for ( Qt in QS ) {
x <- subset(results, Q == Qt)
print(x)
plot(x$depth, x$sensitivity, type="b")
plot(x$depth, x$specificity, type="b")
plot(x$depth, x$sensitivity, type="b", main = paste("Q score", Qt), xlab = "Depth", ylab="Sensitivity")
plot(x$depth, x$specificity, type="b", xlab = "Depth", ylab="Specificity")
}
par(mfcol=c(1,1))
plot(0,0, type="n", frame.plot=F, ann=F, axes=F)
addtable2plot(-1, -1, data.frame(Q=results$Q, mode=results$mode, depth=results$depth, sensitivity=format(results$sensitivity, digits=2), specificity = format(results$specificity, digits=2)))
if ( onCMDLine ) dev.off()