venn {limma}R Documentation

Venn Diagrams

Description

Compute classification counts or plot classification counts in a Venn diagram.

Usage

vennCounts(x, include="both")
vennDiagram(object, include="both", names, mar=rep(1,4), cex=1.5, ...)

Arguments

x numeric matrix of 0's and 1's indicating significance of a test. Usually created by classifyTests.
object either a TestResults matrix or a VennCounts object produced by vennCounts.
include character string specifying whether to counts genes up-regulated, down-regulated or both. Choices are "both", "up" or "down".
names optional character vector giving names for the sets or contrasts
mar numeric vector of length 4 specifying the width of the margins around the plot. This argument is passed to par.
cex numerical value giving the amount by which the contrast names should be scaled on the plot relative to the default.plotting text. See par.
... any other arguments are passed to plot

Value

vennCounts produces a VennCounts object, which is a numeric matrix with last column "Counts" giving counts for each possible vector outcome.

Author(s)

Gordon Smyth and James Wettenhall

See Also

An overview of linear model functions in limma is given by 5.LinearModels.

Examples

tstat <- matrix(rt(300,df=10),100,3)
tstat[1:33,] <- tstat[1:33,]+2
clas <- classifyTestsF(tstat,df=10,p.value=0.05)
a <- vennCounts(clas)
print(a)
vennDiagram(a)

[Package limma version 1.6.7 Index]