rowaov {LMGene} | R Documentation |
Computes the mean squares and degrees of freedom for gene-by-gene anovas.
rowaov(eS)
eS |
Array data. must be a exprSet type and the log-transformation and the normalization of exprSet@exprs are recommended |
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.
resmat |
A matrix of MSE and DF of all factors for all genes |
David Rocke and Geun-Cheol Lee
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/
#library library(Biobase) library(LMGene) #data data(Smpd) data(vlist) LoggedSmpd0<-neweS(lnorm(log(Smpd)),vlist) resmat <- rowaov(LoggedSmpd0) resmat[,1:3]