plot.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 'subsamples':
plot(x, ...)
Arguments
x
a subsamples object
...
further arguments passed to or from other methods.
Value
plot a subSeq object
Details
This is an alias for the plot.summary.subsamples function, so that
plotting can be done directly on the subsamples object. We recommend using
summary(ss) first, so that the summary operation does not have to
be performed each time the figure is plotted, and so the summary object
can be examined on its own.