CCMN and other noRMalizatioN methods for metabolomics data


[Package List] [Top]

Documentation for package ‘crmn’ version 0.0.11

User Guides and Package Vignettes

Read overview or browse directory.

Help Pages

analytes Accessor for the analytes
analytes,data.frame,logical-method Accessor for the analytes
analytes,ExpressionSet,missing-method Accessor for the analytes
analytes,matrix,logical-method Accessor for the analytes
analytes_eset Accessor for the analytes
analytes_other Accessor for the analytes
crmn CRMN
dropunusedlevels Drop unused levels
makeX Make X
makeX,ANY,matrix-method Make X
makeX,ExpressionSet,character-method Make X
makeX_eset Make X
makeX_other Make X
method Accessor for the method
method,nFit-method Accessor for the method
mexprs Matrix safe accessor of expression slot
mexprs,ExpressionSet-method Matrix safe accessor of expression slot
mexprs,matrix-method Matrix safe accessor of expression slot
mexprs<- Accessor
mexprs<-,ExpressionSet,matrix-method Accessor
mexprs<-,matrix,matrix-method Accessor
mexprs_bla Matrix safe setter of expression slot...
mix Dilution mixture dataset.
model Accessor for the model
model,nFit-method Accessor for the model
nFit Normalization model
nFit-class Normalization model
normalize Normalize a metabolomics dataset
normFit Fit a normalization model
normPred Predict for normalization
pcaMuffle Muffle the pca function
plot.nFit Plot a statistics for CRMN normalization model
sFit Accessor for the standards model
sFit,nFit-method Accessor for the standards model
show,nFit-method Show method for nFit
show_nfit Show nfit
standards Accessor for the Internal Standards
standards,data.frame,logical-method Accessor for the Internal Standards
standards,ExpressionSet,missing-method Accessor for the Internal Standards
standards,matrix,logical-method Accessor for the Internal Standards
standardsFit Standards model
standardsPred Predict effect for new data (or get fitted data)
standards_eset Accessor for the Internal Standards
standards_other Accessor for the Internal Standards
weightnorm Normalize by sample weight