cvmv-class: The cvmv Class.

In MetabolicSurv: A Biomarker Validation Approach for Classification and Predicting Survival Using Metabolomics Signature

Description

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

Author(s)

Olajumoke Evangelina Owokotomo, [e-mail]

Ziv Shkedy

See Also

Majorityvotes, CVPcaPls, SurvPcaClass, SurvPlsClass

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)

MetabolicSurv documentation built on June 11, 2021, 9:06 a.m.