plotDispEsts {DESeq2}R Documentation

Plot dispersion estimates

Description

A simple helper function that plots the per-gene dispersion estimates together with the fitted mean-dispersion relationship.

Usage

## S4 method for signature 'DESeqDataSet'
plotDispEsts(object, ymin,
  genecol = "black", fitcol = "red", finalcol = "dodgerblue",
  legend=TRUE, xlab, ylab, log = "xy", cex = 0.45, ...)

## S4 method for signature 'DESeqDataSet'
plotDispEsts(object, ymin, genecol = "black",
  fitcol = "red", finalcol = "dodgerblue", legend = TRUE, xlab, ylab,
  log = "xy", cex = 0.45, ...)

Arguments

object

a DESeqDataSet

ymin

the lower bound for points on the plot, points beyond this are drawn as triangles at ymin

genecol

the color for gene-wise dispersion estimates

fitcol

the color of the fitted estimates

finalcol

the color of the final estimates used for testing

legend

logical, whether to draw a legend

xlab

xlab

ylab

ylab

log

log

cex

cex

...

further arguments to plot

Author(s)

Simon Anders

Examples

dds <- makeExampleDESeqDataSet()
dds <- estimateSizeFactors(dds)
dds <- estimateDispersions(dds)
plotDispEsts(dds)

[Package DESeq2 version 1.4.5 Index]