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Impute Predictor Variables

impute_predictors.Rd

Threshold numeric values in model predictors according to set of training ranges. Typically this involves capping values above or below a threshold.

Usage

impute_predictors(data, extrm_vals)

Arguments

data

A data.frame, or tibble object.

extrm_vals

A tibble with the following 5 fields:

Feature:

feature name matching fields in data

xtrm_min:

minimum acceptable value for that feature

xtrm_max:

maximum acceptable value for that feature

impute_min:

value to assign if below xtrm_min

impute_max:

value to assign if above xtrm_max

Use NA to not impute, or use dplyr::filter() to remove the entire row if neither min nor max is desired for a given feature.

See also

Other impute: imputeNAs(), impute_outliers()

Author

Stu Field

Examples

x   <- data.frame(a = 1:3L, b = 4:6L, c = 7:9L, d = c(1.23, 4.56, 7.89))
tbl <- tibble::tribble(
  ~ Feature,  ~ xtrm_max, ~ impute_max, ~ xtrm_min, ~ impute_min,
    "a",         NA,        NA,           NA,         NA,
    "b",         5,         5,            0,          1,
    "c",         9,         7,            7.1,        7.1
)
impute_predictors(x, tbl)
#>   a b   c    d
#> 1 1 4 7.1 1.23
#> 2 2 5 8.0 4.56
#> 3 3 5 9.0 7.89