plot.summary.subsamples: plot metrics as a function of subsampled read depth
Description
Plot the number of genes found significant, the Spearman correlation of the
effect size estimates with the full experiment, and the empirical false
discovery rate as a function of the subsampled read depth. This determines
whether these metrics saturate, which indicates that the experiment has an
appropriate sequencing depth.
Usage
## S3 method for class 'summary.subsamples':
plot(x, ...)
Arguments
x
a summary.subsamples object
...
further arguments passed to or from other methods.
if (interactive()) {
# import the subsampling object (see ?subsample to see how ss is created) data(ss)
# summarise object ss <- summary(ss)
# plot plot(ss)
}