make_train {radiant.data} | R Documentation |
Generate a variable used to selected a training sample
Description
Generate a variable used to selected a training sample
Usage
make_train(n = 0.7, nr = NULL, blocks = NULL, seed = 1234)
Arguments
n |
Number (or fraction) of observations to label as training |
nr |
Number of rows in the dataset |
blocks |
A vector to use for blocking or a data.frame from which to construct a blocking vector |
seed |
Random seed |
Value
0/1 variables for filtering
Examples
make_train(.5, 10)
make_train(.5, 10) %>% table()
make_train(100, 1000) %>% table()
make_train(.15, blocks = mtcars$vs) %>% table() / nrow(mtcars)
make_train(.10, blocks = iris$Species) %>% table() / nrow(iris)
make_train(.5, blocks = iris[, c("Petal.Width", "Species")]) %>% table()
[Package radiant.data version 1.6.6 Index]