CV_partition: Cross validation partition

In vincentgarin/mppGxE: MPP GxE QTL analysis

Cross validation partition

Description

Partition the genotype indices into training and validation sets for cross-validation (CV).

Usage

CV_partition(cross.ind, k = 5)

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.

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.

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).

Author(s)

Vincent Garin

See Also

mppGE_CV, mppGE_oneS_CV

Examples

data(mppData_GE)

part <- CV_partition(mppData_GE$cross.ind)

vincentgarin/mppGxE documentation built on June 25, 2022, 2:45 p.m.