Description Slots Author(s) See Also Examples
The cvmv Class.
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
Olajumoke Evangelina Owokotomo, olajumoke.owokotomo@uhasselt.be
Ziv Shkedy
Majorityvotes
, CVPcaPls
, SurvPcaClass
, SurvPlsClass
1 2 3 4 5 6 7 8 9 10 11 12 13 14 | ## 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)
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