| msa {LMGene} | R Documentation |
Calculate the relative mean square values.
msa(v)
v |
A vector containing mean square values of all the factors. |
rv |
relative mean square values for all factors. |
David Rocke and Geun-Cheol Lee
http://www.idav.ucdavis.edu/~dmrocke/
#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)