plot.summary.subsamples {subSeq} | R Documentation

## 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.

### Value

see description

### Examples

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

      # summarise object
      ss <- summary(ss)

      # plot
      plot(ss)
    }

[Package subSeq version 1.20.0 Index]