plotScatter {Starr} | R 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)

[Package Starr version 1.40.0 Index]