R: Density plots of per-platform marginal distributions

plotMarginals {consensus}

R Documentation

Density plots of per-platform marginal distributions

Description

Plots a series of marginal densities for each platform for either (a) average, (b) sensitivity or (c) precision.

Usage

plotMarginals(consfit, 
	      param=c("average", "sensitivity", "precision"), 
	      pal=palette(), xlim=NULL, ...)

Arguments

`consfit`	An object of class `ConsensusFit`.
`param`	Whether average (a_i), sensitivity (b_i) or precision (d_i) is plotted.
`pal`	Colour palette. Length must be at least the number of platforms/conditions.
`xlim`	Range of values to be plotted. If `NULL` then the entire density is plotted.
`...`	Extra arguments passed to `legend()`.

Details

Precision is plotted on the log scale.

Value

A plot to the current device.

Author(s)

Tim Peters <t.peters@garvan.org.au>

Examples

data("TCGA")
tcga_mm <- MultiMeasure(names=c("U133A", "Huex", "Agilent", "RNASeq"), 
			data=list(U133A, Huex, Agilent, RNASeq))
fit <- fitConsensus(tcga_mm)
plotMarginals(fit, "sensitivity", brewer.pal(n = 4, name = "Dark2"))

[Package consensus version 1.5.0 Index]