A simple function to perform k-fold cross validation in R

kfold-cv-custom-function.R

#Randomly shuffle the data
yourdata<-yourdata[sample(nrow(yourdata)),]
#Create 10 equally size folds
folds <- cut(seq(1,nrow(yourdata)),breaks=10,labels=FALSE)
#Perform 10 fold cross validation
for(i in 1:10){
  #Segement your data by fold using the which() function 
  testIndexes <- which(folds==i,arr.ind=TRUE)
  testData <- yourdata[testIndexes, ]
  trainData <- yourdata[-testIndexes, ]
  #Use the test and train data partitions however you desire...
}

# This solution is adapted as it is from https://stats.stackexchange.com/questions/61090/how-to-split-a-data-set-to-do-10-fold-cross-validation

Thanks for this.
I found it just in time.

Great! it's useful!

Thank you so much!

Thank you