Last data update: 2014.03.03

R: Generate an expression value from the probes informations
generateExprVal.method.avgdiffR Documentation

Generate an expression value from the probes informations

Description

Generate an expression from the probes

Usage

generateExprVal.method.avgdiff(probes, ...)
generateExprVal.method.medianpolish(probes, ...)
generateExprVal.method.liwong(probes, ...)
generateExprVal.method.mas(probes, ...)

Arguments

probes

a matrix of probe intensities with rows representing probes and columns representing samples. Usually pm(probeset) where probeset is a of class ProbeSet.

...

extra arguments to pass to the respective function.

Value

A list containing entries:

exprs

The expression values.

se.exprs

The standard error estimate.

See Also

generateExprSet-methods, generateExprVal.method.playerout, fit.li.wong

Examples

  data(SpikeIn) ##SpikeIn is a ProbeSets
  probes <- pm(SpikeIn) 
  avgdiff <- generateExprVal.method.avgdiff(probes)
  medianpolish <- generateExprVal.method.medianpolish(probes)
  liwong <- generateExprVal.method.liwong(probes)
  playerout <- generateExprVal.method.playerout(probes)
  mas <- generateExprVal.method.mas(probes)
  
  concentrations <- as.numeric(sampleNames(SpikeIn))
  plot(concentrations,avgdiff$exprs,log="xy",ylim=c(50,10000),pch="a",type="b")
  points(concentrations,2^medianpolish$exprs,pch="m",col=2,type="b",lty=2)
  points(concentrations,liwong$exprs,pch="l",col=3,type="b",lty=3)
  points(concentrations,playerout$exprs,pch="p",col=4,type="b",lty=4)
  points(concentrations,mas$exprs,pch="p",col=4,type="b",lty=4)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
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Platform: x86_64-pc-linux-gnu (64-bit)

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> library(affy)
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
    rbind, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit

Loading required package: Biobase
Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/affy/generateExprVal.method.avgdiff.Rd_%03d_medium.png", width=480, height=480)
> ### Name: generateExprVal.method.avgdiff
> ### Title: Generate an expression value from the probes informations
> ### Aliases: generateExprVal.method.avgdiff
> ###   generateExprVal.method.medianpolish generateExprVal.method.liwong
> ###   generateExprVal.method.mas
> ### Keywords: manip
> 
> ### ** Examples
> 
>   data(SpikeIn) ##SpikeIn is a ProbeSets
>   probes <- pm(SpikeIn) 
>   avgdiff <- generateExprVal.method.avgdiff(probes)
>   medianpolish <- generateExprVal.method.medianpolish(probes)
>   liwong <- generateExprVal.method.liwong(probes)
>   playerout <- generateExprVal.method.playerout(probes)
>   mas <- generateExprVal.method.mas(probes)
>   
>   concentrations <- as.numeric(sampleNames(SpikeIn))
>   plot(concentrations,avgdiff$exprs,log="xy",ylim=c(50,10000),pch="a",type="b")
>   points(concentrations,2^medianpolish$exprs,pch="m",col=2,type="b",lty=2)
>   points(concentrations,liwong$exprs,pch="l",col=3,type="b",lty=3)
>   points(concentrations,playerout$exprs,pch="p",col=4,type="b",lty=4)
>   points(concentrations,mas$exprs,pch="p",col=4,type="b",lty=4)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>