cvmv-class function

class

The cvmv Class.

Slots

• HRTrain: A matrix of survival information for the training dataset. It has three columns representing the estimated HR, the 95% lower confidence interval and the 95% upper confidence interval.
• HRTest: A matrix of survival information for the test dataset. It has three columns representing the estimated HR, the 95% lower confidence interval and the 95% upper confidence interval.
• Ncv: The number of cross validation used
• Mdata: The Metabolite data matrix that was used for the analysis either same as Mdata or a reduced version.
• Progfact: The names of prognostic factors used

Examples

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

## USING THE FUNCTION
Result = CVMajorityvotes(Survival=Data$Survival,Censor=Data$Censor,
Prognostic=Data$Prognostic, Mdata=t(Data$Mdata), Reduce=FALSE,
Select=15, Fold=3, Ncv=10)

## GET THE CLASS OF THE OBJECT
class(Result)     # A "cvmv" Class

##  METHOD THAT CAN BE USED FOR THE RESULT
show(Result)
summary(Result)

See Also

Majorityvotes, CVPcaPls, SurvPcaClass, SurvPlsClass

Author(s)

Olajumoke Evangelina Owokotomo, olajumoke.owokotomo@uhasselt.be

Ziv Shkedy