plotRatioScatter {Starr} | R Documentation |
A matrix of pairwise scatterplots of the ratios is created. The lower panel shows the correlation of the data.
plotRatioScatter(eSet, ip, control, density=F, sample=NULL, cluster=T, cex=1)
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 |
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
## 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) z <- y*2 mat <- matrix(c(x,y,z), ncol=3) colnames(mat) <- c("A", "B1", "B2") plotRatioScatter(mat, c(TRUE, FALSE, FALSE), c(FALSE, TRUE, TRUE), density=TRUE)