prepare_data: Create train and test datasets given a formula and data

In courtiol/rangeRinPA: Protected Area Personnel and Ranger Numbers are Insufficient to Deliver Global Expectations

Create train and test datasets given a formula and data

Description

Create train and test datasets given a formula and data

Usage

prepare_data(
  formula,
  data,
  test_prop = 0,
  keep.var = NULL,
  drop_na = TRUE,
  spatial = FALSE,
  seed = NULL
)

Arguments

formula	the formula for the LMM or RF
data	the complete dataset
test_prop	the amount of rows to keep in the test dataset (default = 0)
keep.var	a vector of character strings indicating which variables to keep in the dataset on top of those defined by the formula
drop_na	whether to drop NAs or not (default = TRUE)
spatial	whether or not keeping predictor for fitting spatial effects (default = FALSE)
seed	an optional seed for the RNG

Examples

prepare_data(log(staff_rangers + 1) ~ log(GDP_2019) + Matern(1|long + lat),
             data = data_rangers, test_prop = 0.1)

courtiol/rangeRinPA documentation built on Sept. 29, 2022, 9:54 a.m.