library(sm)
path = "/home/duy/collection/TRECGenomics-2004/participants"
fileFilter="*.txt"
files = list.files(path, full.names=TRUE, pattern=fileFilter)
names = list.files(path, pattern=fileFilter)
outputImage=TRUE
outputImg = paste(path, "output", sep="/") outputImg = paste(outputImg, "png", sep=".")
if (outputImage == TRUE){ #postscript(file=outputImg, horizontal=FALSE, width=15, height=8) png(filename=outputImg) }
xAxisLabel = "MAP" yAxisLabel = "Densité" xAxisRange = c(0.0, 1.0) yAxisRange = c(0.0, 3.0) n=length(files)
if (n > 0){
# distribute plots par(mfrow=c(1,n))
for (i in 1 : n){
# read MAP values from a csv file (header in the first line) table = read.table(files[i], header=TRUE) # Build run names runNames = c("pllsgen4a2", "uwmtDg04tn", "pllsgen4a1", "PDTNsmp4", "Spe-MH-OM+PRF") run <- factor( rep(runNames, each=length(table$SpeMHOM))) # number of queries # MAP per run data frame mpre <- data.frame(run, map=c(table$pllsgen4a2,table$uwmtDg04tn, table$pllsgen4a1, table$PDTNsmp4, table$SpeMHOM)) # graphical parameters lineColors = c("red","blue", "cyan", "black","chartreuse") pChars=c(20:24) lineTypes=c(10:length(mpre$run)) # plot a group of kernel density curves sm.density.compare(mpre$map, # vector of data mpre$run, # vector of group labels xlab=xAxisLabel, ylab=yAxisLabel, xlim=xAxisRange, ylim=yAxisRange, col=lineColors, pch=pChars, lty=lineTypes, title=names[i] ) # Add a legend for which line types, colors represent appropriately the corresponding runs #legend("topright", levels(mpre$run), lty=lineTypes, col=lineColors, pch=pChars) legend("topright", levels(mpre$run), lty=lineTypes, col=lineColors)
} }
if (outputImage){ dev.off() }
QueryID pllsgen4a2 uwmtDg04tn pllsgen4a1 PDTNsmp4 SpeMHOM 1 0.4 0.3 0.5 0.2 0.6 2 0.2 0.4 0.34 0.32 0.55 3 0.5 0.46 0.54 0.42 0.75 4 0.25 0.60 0.43 0.22 0.35 5 0.45 0.30 0.42 0.22 0.15
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!/bin/bash
-----------------------------------
R script to display kernel distribution of groups of MAP values obtained by different runs
@author: Duy Dinh
@date: 22 March 2012
-----------------------------------
library(sm)
result directory
path = "/home/duy/collection/TRECGenomics-2004/participants"
get file names from directory
fileFilter="*.txt"
full names
files = list.files(path, full.names=TRUE, pattern=fileFilter)
short names
names = list.files(path, pattern=fileFilter)
outputImage=TRUE
outputImage=FALSE
output image
outputImg = paste(path, "output", sep="/")
outputImg = paste(outputImg, "png", sep=".")
start graphics drawing
if (outputImage == TRUE){
#postscript(file=outputImg, horizontal=FALSE, width=15, height=8)
png(filename=outputImg)
}
xAxisLabel = "MAP"
yAxisLabel = "Densité"
xAxisRange = c(0.0, 1.0)
yAxisRange = c(0.0, 3.0)
n=length(files)
if (n > 0){
# distribute plots
par(mfrow=c(1,n))
for (i in 1 : n){
}
}
if (outputImage){
dev.off()
}
Last edit: Duy Dinh 2013-04-23
QueryID pllsgen4a2 uwmtDg04tn pllsgen4a1 PDTNsmp4 SpeMHOM
1 0.4 0.3 0.5 0.2 0.6
2 0.2 0.4 0.34 0.32 0.55
3 0.5 0.46 0.54 0.42 0.75
4 0.25 0.60 0.43 0.22 0.35
5 0.45 0.30 0.42 0.22 0.15