Last data update: 2014.03.03

R: M versus A plot
plotMAR Documentation

M versus A plot

Description

A matrix of M vs. A plots of each pair (ip, control) is produced.

Usage

plotMA(eSet, ip=NULL, control=NULL, col=NULL)

Arguments

eSet

an ExprssionSet or matrix, containing the data

ip

an integer, or boolean vector, that indicates, which columns in the ExpressionSet are IP experiments

control

an integer, or boolean vector, that indicates, which columns in the ExpressionSet are CONTROL or REFERENCE experiments

col

color, to fill the boxes

Author(s)

Benedikt Zacher zacher@lmb.uni-muenchen.de

See Also

ma.plot

Examples

##
mat <- matrix(rnorm(1000000), ncol=4)
colnames(mat) <- c("Sample1", "Sample2", "Sample3", "Sample4")
mat[,1] <- mat[,1]^2
plotMA(mat, c(TRUE, FALSE, TRUE, FALSE), c(FALSE, TRUE, FALSE, TRUE))

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(Starr)
Loading required package: Ringo
Loading required package: Biobase
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

Welcome to Bioconductor

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

Loading required package: RColorBrewer
Loading required package: limma

Attaching package: 'limma'

The following object is masked from 'package:BiocGenerics':

    plotMA

Loading required package: Matrix
Loading required package: grid
Loading required package: lattice
Loading required package: affy

Attaching package: 'affy'

The following object is masked from 'package:Ringo':

    probes

Loading required package: affxparser

Attaching package: 'Starr'

The following object is masked from 'package:affy':

    plotDensity

The following object is masked from 'package:limma':

    plotMA

The following object is masked from 'package:BiocGenerics':

    plotMA

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/Starr/plot.ma.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotMA
> ### Title: M versus A plot
> ### Aliases: plotMA
> ### Keywords: hplot
> 
> ### ** Examples
> 
> ##
> mat <- matrix(rnorm(1000000), ncol=4)
> colnames(mat) <- c("Sample1", "Sample2", "Sample3", "Sample4")
> mat[,1] <- mat[,1]^2
> plotMA(mat, c(TRUE, FALSE, TRUE, FALSE), c(FALSE, TRUE, FALSE, TRUE))
Plotting Sample1vsSample2  Sample1vsSample4  Sample3vsSample2  Sample3vsSample4  
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>