multisample: Make multiple samples of data

In crtests: Classification and Regression Tests

Description

Make multiple samples of data

cross_fold: Make 'folds' samples of the data, so all(rbind(folds)==row.names(data))=TRUE

random: Makes iterations random samples of size holdout * nrow(data)

Usage

multisample.cross_fold(data, folds = 10, dependent,
  preserve_distribution = FALSE)

multisample.random(data, holdout = 0.2, iterations = 10, dependent,
  preserve_distribution = FALSE)

Arguments

data	Data to sample
folds	Number of folds to create
dependent	The dependent variable in the data. Used only if preserve_distribution=TRUE
preserve_distribution	Logical, only applicable if the dependent variable is a factor
holdout	The fraction of data to be used as holdout set
iterations	Number of iterations to make

Value

A list of numeric vectors of length 'folds'

crtests documentation built on May 1, 2019, 9:09 p.m.