Partition the genotype indices into training and validation sets for
cross-validation (CV).
Usage
CV_partition(cross.ind, k = 5)
Value
Return:
fold
List of k lists (one for each fold). Each fold list
contains two vectors with genotypes indices of the training ($train.set) and
the validation set ($val.set).
Arguments
cross.ind
Character vector with the same length as the number
of genotypes which specifies to which cross each genotype belongs.
k
Numeric value representing the number of subsets (fold) into
which data are spread within cross. Default = 5.
Author
Vincent Garin
Details
The genotype indices are randomly assigned within cross to k subsets (folds).
Then each subset is used once as validation set, the remaining data go in the
training set.