PLMset-class

PLMset

weights

weights<-

coefs

coefs<-

se<-

coefs.probe

coefs.const

se.probe

se.const

Mbox

normvec

varcov

residSE

resid

residuals

resid<-

residuals<-

indexProbesProcessed

model.description

sampleNames<-

coefs,PLMset-method

weights<-,PLMset-method

weights,PLMset-method

coefs<-,PLMset-method

se,PLMset-method

se<-,PLMset-method

coefs.probe,PLMset-method

coefs.const,PLMset-method

se.probe,PLMset-method

se.const,PLMset-method

Mbox,PLMset-method

image,PLMset-method

show,PLMset-method

boxplot,PLMset-method

getCdfInfo,PLMset-method

indexProbes,PLMset,character-method

cdfName,PLMset-method

normvec,PLMset-method

resid,PLMset-method

residuals,PLMset-method

resid<-,PLMset-method

residuals<-,PLMset-method

residSE,PLMset-method

varcov,PLMset-method

indexProbesProcessed,PLMset-method

model.description,PLMset-method

summary,PLMset-method

sampleNames,PLMset-method

sampleNames<-,PLMset,character-method

annotation,PLMset-method

description,PLMset-method

phenoData,PLMset-method

phenoData<-,PLMset,AnnotatedDataFrame-method

pData,PLMset-method

pData<-,PLMset,data.frame-method

nuse

NUSE

nuse,PLMset-method

NUSE,PLMset-method

RLE,PLMset-method

This is a class representation for Probe level Linear
  Models fitted to Affymetrix GeneChip probe level data.

classes

The package contains functions for exploratory
oligonucleotide array analysis. The dependence on tkWidgets
only concerns few convenience functions. 'affy' is fully
functional without it.

Rafael A Irizarry

affy

Methods for Affymetrix Oligonucleotide Arrays

PLMset-class function

Objects can be created using the function <code><a href="/link/fitPLM?package=affy&version=1.50.0" rd-options="" data-mini-rdoc="affy::fitPLM">fitPLM</a></code>

Objects from the Class

Class PLMset

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PLMset-class: Class PLMset

Description

Arguments

Objects from the Class

References