BootCL.plot {BootCL} | R Documentation |
Display the bootstrap distribution and p-value
Description
BootCL.plot presents the bootstrap distribution and p-value for
the test of chromosomal clustering in differentially expressed
genes defined from a microarray experiment
Usage
BootCL.plot(BootP,xrange=NULL,freq.bootCL=NULL)
Arguments
BootP |
The result from BootCL.distribution |
xrange |
the range of x-axis |
freq.bootCL |
logical; if 'TRUE', the histogram graphic is a representation
of frequencies, the 'counts' component of the result; if
'FALSE', probability densities, component 'density', are
plotted |
Value
BootP |
The result from BootCL.distribution |
Examples
library(BootCL)
chip.name<-"HG.U133A"
data(affy.hgu133a)
sample.cluster<-affy.hgu133a[sample(1:1000,100),1]
sample.ID<-find.ID(chip.name,sample.cluster,affyID.flag=TRUE)
Boot.Stat<-BootCL.Statistic(chip.name,sample.ID)
Bdist<-BootCL.distribution(chip.name,Boot.Stat$sampling.count,total.sampling.count=10000)
BootP<-BootCL.Pvalue(Boot.Stat,Bdist)
BootCL.plot(BootP)
[Package
BootCL version 1.7
Index]