get_train_test_split: Split Data into Training and Testing Sets Based on Indices

In XSLmodels: Run and Optimize Cross-Situational Word Learning Models

Split Data into Training and Testing Sets Based on Indices

Description

This function divides a given set of conditions into training and testing sets. The division is based on a provided vector of indices, which specify the conditions to be used for testing.

Usage

get_train_test_split(test_inds, conds)

Arguments

test_inds	A numeric vector of indices indicating which elements in conds should be used for the test set.
conds	A list of conditions (e.g. xslData objects), where each condition is represented as a separate element.

Value

A list with two elements: train and test. Each element is a list of conditions, where train includes the conditions not indexed by test_inds, and test includes the conditions indexed by test_inds.

Examples

split <- get_train_test_split(c(1, 3), xsl_datasets[1:5])
length(split$train)
length(split$test)

XSLmodels documentation built on Oct. 18, 2026, 5:08 p.m.