rmaPLM {affyPLM}R Documentation

Fit a RMA to Affymetrix Genechip Data as a PLMset


This function converts an AffyBatch into an PLMset by fitting a multichip model. In particular we concentrate on the RMA model.


rmaPLM(object,subset=NULL,normalize=TRUE,background=TRUE,background.method="RMA.2",normalize.method="quantile",background.param = list(),normalize.param=list(),output.param=list(),model.param=list())


object an AffyBatch
subset a vector with the names of probesets to be used. If NULL then all probesets are used.
normalize logical value. If TRUE normalize data using quantile normalization
background logical value. If TRUE background correct using RMA background correction
background.method name of background method to use.
normalize.method name of normalization method to use.
background.param A list of parameters for background routines
normalize.param A list of parameters for normalization routines
output.param A list of parameters controlling optional output from the routine.
model.param A list of parameters controlling model procedure


This function fits the RMA as a Probe Level Linear models to all the probesets in an AffyBatch.


An PLMset


Ben Bolstad bolstad@stat.berkeley.edu


Bolstad, BM (2004) Low Level Analysis of High-density Oligonucleotide Array Data: Background, Normalization and Summarization. PhD Dissertation. University of California,

Irizarry RA, Bolstad BM, Collin F, Cope LM, Hobbs B and Speed TP (2003) Summaries of Affymetrix GeneChip probe level data Nucleic Acids Research 31(4):e15

Bolstad, BM, Irizarry RA, Astrand, M, and Speed, TP (2003) A Comparison of Normalization Methods for High Density Oligonucleotide Array Data Based on Bias and Variance. Bioinformatics 19(2):185-193

See Also

expresso, rma, threestep,fitPLM, threestepPLM


# A larger example testing weight image function
## Not run: Pset <- rmaPLM(Dilution,output.param=list(weights=TRUE))
## Not run: image(Pset)

[Package affyPLM version 1.6.0 Index]