resampling: create (repeated) cross validation folds

In linxihui/lazyML: Automatic machine learning algorithms and hyper-parameters selection

Description

create (repeated) cross validation folds

Usage

createCVFolds(x, y, nfold = 5, repeats = 1, stratify = FALSE,
  seed = NULL)

createBootstrap(x, y, n, repeats = 25, replace = TRUE, stratify = FALSE,
  seed = NULL)

Arguments

x	Design matrix
y	Response vector
nfold	Number of folds
repeats	Number of repeats
stratify	Should folds be stratified on response classes or censoring indicators (if survival)
seed	Seed to set before sampling
n	Bootstrapped sample size (if integer) or proportional
replace	If to sample with replacement

Value

A list of repeated cross validation training samples (as row numbers of x) or a list of Bootstrap samples (as row numbers of x as well).

linxihui/lazyML documentation built on May 21, 2019, 6:39 a.m.