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]