BootCL.distribution {BootCL} | R Documentation

## Find the bootstrap distribution

### Description

BootCL.distribution finds the bootstrap distribution for the measure of significance of chromosomal clustering in differentially expressed genes defined from a microarray experiment.

### Usage

     BootCL.distribution(chip, sampling.count, total.sampling.count,windowsize)

### Arguments

`chip` | name of chip
`sampling.count` | the number of genes in the cluster
`total.sampling.count` | the number of bootstrap sampling
`windowsize` | window size

### Value

`dist` | Distribution from Bootstrap samples
`windowsize` | window size

### 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)
         Boot.Stat<-BootCL.Statistic(chip.name,sample.ID)
         Bdist<-BootCL.distribution(chip.name,Boot.Stat$sampling.count,total.sampling.count=10000)

[Package BootCL version 1.7 Index]