Last data update: 2014.03.03

R: Plot of normalized counts for a single gene on log scale
plotCountsR Documentation

Plot of normalized counts for a single gene on log scale

Description

Note: normalized counts plus a pseudocount of 0.5 are shown.

Usage

plotCounts(dds, gene, intgroup = "condition", normalized = TRUE,
  transform = FALSE, main, xlab = "group", returnData = FALSE,
  replaced = FALSE, ...)

Arguments

dds

a DESeqDataSet

gene

a character, specifying the name of the gene to plot

intgroup

interesting groups: a character vector of names in colData(x) to use for grouping

normalized

whether the counts should be normalized by size factor (default is TRUE)

transform

whether to present log2 counts (TRUE) or to present the counts on the log scale (FALSE, default)

main

as in 'plot'

xlab

as in 'plot'

returnData

should the function only return the data.frame of counts and covariates for custom plotting (default is FALSE)

replaced

use the outlier-replaced counts if they exist

...

arguments passed to plot

Examples


dds <- makeExampleDESeqDataSet()
plotCounts(dds, "gene1")

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)

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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/plotCounts.Rd_%03d_medium.png", width=480, height=480)
> ### Name: plotCounts
> ### Title: Plot of normalized counts for a single gene on log scale
> ### Aliases: plotCounts
> 
> ### ** Examples
> 
> 
> dds <- makeExampleDESeqDataSet()
> plotCounts(dds, "gene1")
> 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>