| cv {ePCR} | R Documentation |
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