make_train: Generate a variable used to selected a training sample

In radiant-rstats/radiant.data: Data Menu for Radiant: Business Analytics using R and Shiny

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()

radiant-rstats/radiant.data documentation built on Jan. 19, 2024, 12:21 p.m.