stratified_split {structToolbox}R Documentation

Stratified sampling

Description

Splits the data into a training and test set, using stratification to keep group sizes in equal proportions to the full dataset.

Usage

stratified_split(p_train, factor_name, ...)

Arguments

p_train

The proportion of samples in the training set.

factor_name

The column of sample_meta to use for stratification

...

additional slots and values passed to struct_class

Value

struct object

Examples

D = iris_DatasetExperiment()
M = stratified_split(p_train=0.75,factor_name='Species')
M = model_apply(M,D)


[Package structToolbox version 1.0.1 Index]