plot.summary.subsamples: plot metrics as a function of subsampled read depth

Description Usage Arguments Value Examples

View source: R/plot.summary.subsamples.R

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

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## S3 method for class 'summary.subsamples'
plot(x, ...)

Arguments

x

a summary.subsamples object

...

further arguments passed to or from other methods.

Value

see description

Examples

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if (interactive()) {
  # import the subsampling object (see ?subsample to see how ss is created)
  data(ss)

  # summarise object
  ss <- summary(ss)

  # plot
  plot(ss)
}

subSeq documentation built on Nov. 8, 2020, 5:45 p.m.