Prepare a model matrix from terrain data

Converts a terrain table to a numeric predictor matrix and optional response vector.

Usage

prepare_model_matrix(
  data,
  vars = NULL,
  response = NULL,
  scale = FALSE,
  na.rm = TRUE
)

Arguments

data

A data frame.

vars

Optional predictor variable names.

response

Optional response column name.

scale

Logical. If TRUE, center and scale predictors.

na.rm

Logical. Remove incomplete rows.

Value

A list with x, y, and data.

See also

sample_terrain_cells(), terrain_pca()

Examples

df <- data.frame(y = c(0, 1, 0), slope = c(1, 2, 3), bpi = c(0.2, 0.1, 0.4))
prepare_model_matrix(df, response = "y")
#> $x
#>      slope bpi
#> [1,]     1 0.2
#> [2,]     2 0.1
#> [3,]     3 0.4
#> 
#> $y
#> [1] 0 1 0
#> 
#> $data
#>   y slope bpi
#> 1 0     1 0.2
#> 2 1     2 0.1
#> 3 0     3 0.4
#>