splitData: Split data for testing and training

In stnava/ANTsR: ANTs in R: Quantification Tools for Biomedical Images

Split data for testing and training

Description

Split data into testing and training sets for cross-validation.

Usage

splitData(data.source, ratio, return.rows = FALSE)

Arguments

data.source	Data frame or matrix of input data to be split.
ratio	If greater than one, number of folds to split data into. Otherwise, proportion of rows in training data. See Value.
return.rows	If TRUE, row numbers of testing and training data are also returned.

Value

A list containing the input data, split into testing and training sets. If ratio is greater than one, returns a list with ratio entries, each with 1/ratio of the input data in the testing set (data.out) and the rest in the training set (data.in). Otherwise, returns a list with one split of the data, with ratio of the input data in the testing set and the rest in the training set.

Author(s)

Kandel BM and Avants B

Examples

## Not run: 
n <- 30
ratio <- 2 / 3
data.source <- data.frame(value = 1:n)
out <- splitData(data.source, ratio)

## End(Not run)

stnava/ANTsR documentation built on April 16, 2024, 12:17 a.m.