train_test_val: Split data into training, testing and validation sets

In duncankmckinnon/OKdplyr: Zero Kelvin dplyr

Description

create training, testing and validation datasets in specified proportion

Usage

train_test_val(data, prop_train = 0.8, prop_test = 0, prop_validation = 0)

Arguments

data	a data.frame type object to split
prop_train	proportion of data in training set
prop_test	proportion of data in test set
prop_validation	proportion of data in validation set (optional)

Value

a list containing the train and test data (and validation data if proportion > 0)

Examples

data.ex <- data.frame('A' = sample(1:100,100), 'B' = sample(101:200,100))
train_test_val(data.ex, 0.6)
train_test_val(data.ex, 0.6, 0.3, 0.1)

duncankmckinnon/OKdplyr documentation built on Nov. 30, 2020, 1:13 a.m.