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)

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