normalize {crmn} | R Documentation |
Normalization methods for metabolomics data
normalize(object, method, segments, ...)
object |
an ExpressionSet |
method |
the desired method |
segments |
normalization in a cross-validation setup, only to use for validation/QC purposes. |
... |
passed on to normFit and normPred |
Wrapper function for normFit
and normPred
the normalized dataset
Henning Redestig henning@psc.riken.jp
normFit
, normPred
data(mix) normalize(mix, "crmn", factor="type", ncomp=3) #other methods normalize(mix, "one") normalize(mix, "avg") normalize(mix, "nomis") normalize(mix, "t1") normalize(mix, "ri") normalize(mix, "median") normalize(mix, "totL2") ## can also do normalization with matrices Y <- exprs(mix) G <- model.matrix(~-1+mix$type) isIS <- fData(mix)$tag == 'IS' normalize(Y, "crmn", factor=G, ncomp=3, standards=isIS)