Split data into train and test sets.
Usage
split_data(data, prop = 0.7)
Arguments
- data
A data frame.
- prop
The proportion of rows to assign to the training set.
Value
A list with two data frames, train and test.
Examples
set.seed(123)
parts <- split_data(Fingers, prop = 0.8)
nrow(parts$train)
#> [1] 125
nrow(parts$test)
#> [1] 32
