plot.summary.subsamples {subSeq} | R Documentation |
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.
## S3 method for class 'summary.subsamples' plot(x, ...)
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further arguments passed to or from other methods. |
see description
if (interactive()) { # import the subsampling object (see ?subsample to see how ss is created) data(ss) # summarise object ss <- summary(ss) # plot plot(ss) }