Last data update: 2014.03.03

R: Plot dispersion estimates
plotDispEstsR 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, ...)

Arguments

object

a DESeqDataSet, with dispersions estimated

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)

Results


R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(DESeq2)
Loading required package: S4Vectors
Loading required package: stats4
Loading required package: BiocGenerics
Loading required package: parallel

Attaching package: 'BiocGenerics'

The following objects are masked from 'package:parallel':

    clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
    clusterExport, clusterMap, parApply, parCapply, parLapply,
    parLapplyLB, parRapply, parSapply, parSapplyLB

The following objects are masked from 'package:stats':

    IQR, mad, xtabs

The following objects are masked from 'package:base':

    Filter, Find, Map, Position, Reduce, anyDuplicated, append,
    as.data.frame, cbind, colnames, do.call, duplicated, eval, evalq,
    get, grep, grepl, intersect, is.unsorted, lapply, lengths, mapply,
    match, mget, order, paste, pmax, pmax.int, pmin, pmin.int, rank,
    rbind, rownames, sapply, setdiff, sort, table, tapply, union,
    unique, unsplit


Attaching package: 'S4Vectors'

The following objects are masked from 'package:base':

    colMeans, colSums, expand.grid, rowMeans, rowSums

Loading required package: IRanges
Loading required package: GenomicRanges
Loading required package: GenomeInfoDb
Loading required package: SummarizedExperiment
Loading required package: Biobase
Welcome to Bioconductor

    Vignettes contain introductory material; view with
    'browseVignettes()'. To cite Bioconductor, see
    'citation("Biobase")', and for packages 'citation("pkgname")'.

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/DESeq2/plotDispEsts.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotDispEsts
> ### Title: Plot dispersion estimates
> ### Aliases: plotDispEsts plotDispEsts,DESeqDataSet-method
> 
> ### ** Examples
> 
> 
> dds <- makeExampleDESeqDataSet()
> dds <- estimateSizeFactors(dds)
> dds <- estimateDispersions(dds)
gene-wise dispersion estimates
mean-dispersion relationship
final dispersion estimates
> plotDispEsts(dds)
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>