Split data.frame into training and test sets

This function splits a data.frame into training and test sets.

Usage

ttsplit(df, prop_train = 0.7)

Arguments

df

data.frame

prop_train

proportion of rows to be allocated to training

Value

list with elements:

train

df with prop_train*100% rows sampled at random

test

df with remaining rows

See also

scale_numeric_features_in_train_and_test(), keep_only_vars_in_both_train_and_test(), remove_target_from_test_and_add_ref_to_env(), add_target_back_to_test_set_from_ref_table()

Examples

tt <- df |> ttsplit()
#> [1] "Split df into list with: train, test (proportion train = 0.7)"