Last data update: 2014.03.03

R: High level scatterplot of experiments
plotScatterR Documentation

High level scatterplot of experiments

Description

A matrix of pairwise scatterplots is created. The lower panle shows the correlation of the data.

Usage

plotScatter(eSet, density=F, cluster=T, sample=NULL, cex=1)

Arguments

eSet

an ExprssionSet or matrix, containing the data

density

if TRUE, a density scatter plot is plotted. This plot shows the density of the data.

sample

An integer, indicating the number of subsamples to take for the density scatterplot. This is only recommended if the data is very large, as the density computation takes some time.

cluster

if cluster=T, the experiments are clustered and similiar experiments are plotted together.

cex

see ?par

Author(s)

Benedikt Zacher zacher@lmb.uni-muenchen.de

See Also

pairs, densityscatter

Examples

##
points <- 10^4
x <- rnorm(points/2)
x <- c(x,x+2.5)
x <- sign(x)*abs(x)^1.3
y <- x + rnorm(points,sd=0.8)
mat <- matrix(c(x,y), ncol=2)
colnames(mat) <- c("a", "b")
plotScatter(mat, density=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.
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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.scatter.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotScatter
> ### Title: High level scatterplot of experiments
> ### Aliases: plotScatter
> ### Keywords: hplot
> 
> ### ** Examples
> 
> ##
> points <- 10^4
> x <- rnorm(points/2)
> x <- c(x,x+2.5)
> x <- sign(x)*abs(x)^1.3
> y <- x + rnorm(points,sd=0.8)
> mat <- matrix(c(x,y), ncol=2)
> colnames(mat) <- c("a", "b")
> plotScatter(mat, density=TRUE)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>