Description Usage Arguments Details Value Examples
View source: R/plot.summary.subsamples.R
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.
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x |
a |
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further arguments passed to or from other methods. |
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.
plot a subSeq object
1 2 3 4 5 6 7 | if (interactive()) {
# import the subsampling object (see ?subsample to see how ss is created)
data(ss)
# plot subsample object
plot(ss)
}
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