assocComp: Associate principal components with sample annotations
Description
This function associates principal components with sample annotations
such as age, gender, batch_id. Can be used to detect which batch effects
are associated with the variation in the methylation values.
a data frame where columns are different
annotations and
rows are the samples, in the same order as
in the methylBase object.
Value
a named list of principal component matrix (named 'pcs'),
by principal compopents (named 'vars') and a p-value matrix
showing association
p-values between sample annotations and principal components
(named 'association').
# NOT RUN {data(methylKit)
sampleAnnotation=data.frame(batch_id=c("a","a","b","b"),age=c(19,34,23,40))
as=assocComp(mBase=methylBase.obj,sampleAnnotation)
# }