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PAA (version 1.7.1)

plotNormMethods: Check normalization results with boxplots.

Description

Draws sample-wise boxplots of raw data and data after all kinds of normalization provided by PAA.

Usage

plotNormMethods(elist = NULL, include.rlm=FALSE, controls="internal", output.path = NULL)

Arguments

elist
EListRaw object containing raw data (mandatory).
include.rlm
logical indicating whether RLM normalization should be included (for ProtoArrays only, deafault: FALSE).
controls
string indicating the ProtoArray controls for rlm normalization (optional). Valid options are "internal" (default), "external", "both" or a regular expression defining a specific control or a specific set of controls.
output.path
string indicating a folder for saving the boxplots as tiff files (optional).

Value

No value is returned.

Details

For each normalization approach sample-wise boxplots are created. All boxplots can be saved as high-quality tiff files (when an output path has been specified via the argument output.path). The resulting boxplots can be used to compare the results of different normalization methods.

Examples

Run this code
cwd <- system.file(package="PAA")
load(paste(cwd, "/extdata/Alzheimer.RData", sep=""))
elist <- elist[elist$genes$Block == 1,]
plotNormMethods(elist=elist)

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