plot.scatter: High level scatterplot of experiments
In Starr: Simple tiling array analysis of Affymetrix ChIP-chip data

Description Usage Arguments Author(s) See Also Examples

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

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

`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

Benedikt Zacher zacher@lmb.uni-muenchen.de

pairs, densityscatter

##
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)