rowaov {LMGene}R Documentation

Gene by gene anova functioin

Description

Computes the mean squares and degrees of freedom for gene-by-gene anovas.

Usage

rowaov(eS)

Arguments

eS Array data. must be a exprSet type and the log-transformation and the normalization of exprSet@exprs are recommended

Details

The input argument, eS, must be exprSet type from Biobase package. If you have a matrix data and information about the considered factors, then you can use neweS to conver the data into exprSet. Please see neweS in more detail.

Value

resmat A matrix of MSE and DF of all factors for all genes

Author(s)

David Rocke and Geun-Cheol Lee

References

David M. Rocke (2004), Design and analysis of experiments with high throughput biological assay data, Seminars in Cell & Developmental Biology, 15, 703-713.

http://www.idav.ucdavis.edu/~dmrocke/

See Also

genediff, mlm2lm

Examples

#library
library(Biobase)
library(LMGene)

#data
data(Smpd)
data(vlist)
LoggedSmpd0<-neweS(lnorm(log(Smpd)),vlist)

resmat <- rowaov(LoggedSmpd0)
resmat[,1:3]

[Package LMGene version 1.0.0 Index]