pls help me with this for R code, thx:)

Cross validation is an important tool for data scientists to determine the validity of their model and how well it generalizes to independent, novel data. K-fold cross validation involves partitioning the data into K equally-sized subsets, or folds. One subsample is kept as testing data while the remaining K - 1 folds are used to train the model. The accuracy of the model is recorded after testing on the left-out subset. The process is done a total of K times, where each of the K folds is used exactly once as the test data set. The K results can then be used to assess the generalizability of the model. Write a function in R or Python which takes in a data frame and a value for Kas arguments and outputs the data frame with each row assigned a number which represents the fold it belongs to. CODE Cross validation is an important tool for data scientists to determine the validity of their model and how well it generalizes to independent, novel data. K-fold cross validation involves partitioning the data into K equally-sized subsets, or folds. One subsample is kept as testing data while the remaining K - 1 folds are used to train the model. The accuracy of the model is recorded after testing on the left-out subset. The process is done a total of K times, where each of the K folds is used exactly once as the test data set. The K results can then be used to assess the generalizability of the model. Write a function in R or Python which takes in a data frame and a value for Kas arguments and outputs the data frame with each row assigned a number which represents the fold it belongs to. CODE