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]