msa {LMGene}R Documentation

Relative mean square calculation function

Description

Calculate the relative mean square values.

Usage

msa(v)

Arguments

v A vector containing mean square values of all the factors.

Value

rv relative mean square values for all factors.

Author(s)

David Rocke and Geun-Cheol Lee

References

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

Examples

#library
library(Biobase)
library(LMGene)

#data
#data
data(sample.eS)
Smpd0 <- sample.eS
# model information 
for(i in 1:length(varLabels(Smpd0))){
  assign(paste('x', i, sep=''), as.factor(pData(Smpd0)[,i]))
}
  
fchar <- ''
for(i in 1:length(varLabels(Smpd0))){
  fchar <- paste(fchar, paste('x', i, sep=''), ifelse(i<length(varLabels(Smpd0)), '+', ''), sep='')
}
fchar2 <- paste("y ~", fchar)

# run regression and ANOVAs
y <- t(as.matrix(exprs(Smpd0)))
formobj <- as.formula(fchar2)
tmp <- lm(formobj)
tmp2 <- mlm2lm(tmp, i)
tmp3 <- anova(tmp2)$Mean
tmp4 <- msa(tmp3)
rbind(tmp3, tmp4)

[Package LMGene version 1.12.0 Index]