cvmm-class function

class

The cvmm Class.

Slots

• HRTrain: A 3-way array, The first dimension is the number of metabolites, the second dimension is the HR statistics for the low risk group in the train dataset (HR,1/HR LCI, UCI) while the third dimension is the number of cross validation performed.
• HRTest: A 3-way array, The first dimension is the number of metabolites, the second dimension is the HR statistics for the low risk group in the test dataset (HR,1/HR LCI, UCI) while the third dimension is the number of cross validation performed.
• train: The selected subjects for each CV in the train dataset
• test: The selected subjects for each CV in the test dataset
• n.mets: The number of metabolite used in the analysis
• Ncv: The number of cross validation performed
• Rdata: The Metabolite data matrix that was used for the analysis either same as Mdata or a reduced version

Examples

## GENERATE SOME METABOLIC SURVIVAL DATA WITH PROGNOSTIC FACTORS
Data<-MSData(nPatients=100,nMet=150,Prop=0.5)

## USING THE FUNCTION
Result = CVMetSpecificCoxPh(Fold=3,Survival=Data$Survival,
Mdata=t(Data$Mdata),Censor= Data$Censor,Reduce=TRUE,
Select=150,Prognostic=Data$Prognostic,Quantile = 0.5,Ncv=3)

## GET THE CLASS OF THE OBJECT
class(Result)     # An "cvmm" Class

##  METHOD THAT CAN BE USED FOR THIS CLASS
show(Result)
summary(Result)
plot(Result)

See Also

CVMetSpecificCoxPh

Author(s)

Olajumoke Evangelina Owokotomo, olajumoke.owokotomo@uhasselt.be

Ziv Shkedy