plotMarginals: Density plots of per-platform marginal distributions

In timpeters82/consensus: Cross-platform consensus analysis of genomic measurements via interlaboratory testing method

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 <[e-mail]>

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"))

timpeters82/consensus documentation built on May 23, 2020, 12:45 a.m.