msecalc {LMGene} | R Documentation |
Computes the mean square error and gradient for the global anova
msecalc(eS, lam, alpha, lowessnorm)
eS |
Array data. must be exprSet type. |
lam |
A parameter for glog transformation |
alpha |
A parameter for glog transformation |
lowessnorm |
TRUE, if lowess method is going to be used |
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.
msev |
A vector which contains MSE and gradient of two parameters |
David Rocke and Geun-Cheol Lee
B. Durbin and D.M. Rocke, (2003) Estimation of Transformation Parameters for Microarray Data, Bioinformatics, 19, 1360-1367.
http://www.idav.ucdavis.edu/~dmrocke/
#library library(Biobase) library(LMGene) #data data(Smpd0) msecalc(Smpd0,500,50, FALSE)