Last data update: 2014.03.03

R: Plot a heatmap of interactions
PlotHeatmapR Documentation

Plot a heatmap of interactions

Description

Plots a heatmap of the mean residuals for each interaction pair.

Usage

PlotHeatmap(toptable, colpal = colorRampPalette(c("blue", "white", "yellow")),
key=FALSE,margins=c(7,7),na.color="grey",breaks=seq(-1,1,by=0.01),...)

Arguments

toptable

a data frame created by with the interaction estimates as "logFC" and pair id as "ID". Usually created by topTable function in limma

colpal

color palette to be used in the plot

key

logical should a color key be included

margins

margins for plot

na.color

color for NA values

breaks

mapping data to colors in colpal

...

additional arguments to be passed to heatmap.2 call

Value

a plot

Author(s)

Elin Axelsson

See Also

heatmap.2

Examples


data(screen1_raw)
df = cellHTS2df(screen1_raw,neutral="Fluc")
tt = data.frame("size"=runif(length(unique(df$Pair[df$Type=="comb"])),-2,2),stringsAsFactors=FALSE)
rownames(tt) = unique(df$Pair[df$Type=="comb"])
PlotHeatmap(tt)

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(coRNAi)
Loading required package: cellHTS2
Loading required package: RColorBrewer
Loading required package: Biobase
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

Welcome to Bioconductor

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

Loading required package: genefilter
Loading required package: splots
Loading required package: vsn
Loading required package: hwriter
Loading required package: locfit
locfit 1.5-9.1 	 2013-03-22
Loading required package: grid
Loading required package: limma

Attaching package: 'limma'

The following object is masked from 'package:BiocGenerics':

    plotMA

> png(filename="/home/ddbj/snapshot/RGM3/R_BC/result/coRNAi/PlotHeatmap.Rd_%03d_medium.png", width=480, height=480)
> ### Name: PlotHeatmap
> ### Title: Plot a heatmap of interactions
> ### Aliases: PlotHeatmap
> 
> ### ** Examples
> 
> 
> data(screen1_raw)
> df = cellHTS2df(screen1_raw,neutral="Fluc")
> tt = data.frame("size"=runif(length(unique(df$Pair[df$Type=="comb"])),-2,2),stringsAsFactors=FALSE)
> rownames(tt) = unique(df$Pair[df$Type=="comb"])
> PlotHeatmap(tt)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>