ePCR (version 0.11.0)

cv: Function that creates customized cross-validation folds

Description

The function creates two matrices and returns them as members of a list. 'train' holds training sample indices, columns are cv-folds and rows are sample indices to hold as training samples in each fold. 'test' holds test/validation sample indices, columns are cv-folds and rows are sample indices to hold as test samples in each fold

Usage

cv(x, fold = 10, strata = rep(1, times = nrow(x)), shuffle = TRUE, seed = NULL)

Arguments

x

The original data matrix or data.frame

fold

Number of desired cross-validation folds; preferably between 3 (3-fold CV) and nrow(x) (LOO-CV)

strata

Indicator if some strata should be balanced over the bins; if no balancing is required, the vector should consist of a single value with length equal to rows in x. Otherwise each strata/batch should be indicated as a unique member in the vector.

shuffle

Whether the indices for the data matrix should be shuffled prior to assigning them to train/test bins

seed

A random seed for reproducibility

Examples

data(TYKSSIMU)
cvfolds <- cv(x = xMEDISIMU, fold = 3)
cvfolds$train
cvfolds$test