cvpp-class function

class

The cvpp Class.

Slots

• Results: A dataframe containg the estimated Hazard ratio of the test dataset and the training dataset
• Ncv: The number of cross validation performed
• Method: The dimesion reduction method used
• CVtrain: The training dataset indices matrix used for the cross validation
• CVtest: The test dataset indices matrix used for the cross validation
• Nmet: The number of metabolite used for the dimesion reduction method used

Examples

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

## USING THE FUNCTION
Result = CVPcaPls(Fold = 4, Survival = Data$Survival,
Mdata = t(Data$Mdata), Censor = Data$Censor, Reduce=TRUE,
Select=19, Prognostic= Data$Prognostic,Ncv=55,DR ="PLS")

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

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

See Also

CVPcaPls, SurvPcaClass, SurvPlsClass

Author(s)

Olajumoke Evangelina Owokotomo, olajumoke.owokotomo@uhasselt.be

Ziv Shkedy