Starr (version 1.28.0)

plotScatter: 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

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)