Equal length binning — rbin_equal

Bin continuous data using the equal length binning method.

Usage

rbin_equal_length(
  data = NULL,
  response = NULL,
  predictor = NULL,
  bins = 10,
  include_na = TRUE
)

# S3 method for class 'rbin_equal_length'
plot(x, print_plot = TRUE, ...)

Arguments

data: A data.frame or tibble.
response: Response variable.
predictor: Predictor variable.
bins: Number of bins.
include_na: logical; if TRUE, a separate bin is created for missing values.
x: An object of class rbin_equal_length.
print_plot: logical; if TRUE, prints the plot else returns a plot object.
...: further arguments passed to or from other methods.

Value

A tibble.

Examples

bins <- rbin_equal_length(mbank, y, age, 10)
bins
#> Binning Summary
#> ---------------------------------
#> Method               Equal Length 
#> Response             y 
#> Predictor            age 
#> Bins                 10 
#> Count                4521 
#> Goods                517 
#> Bads                 4004 
#> Entropy              0.5 
#> Information Value    0.17 
#> 
#> 
#>    cut_point bin_count good  bad         woe           iv   entropy
#> 1     < 24.6        85   24   61 -1.11418623 0.0347480126 0.8586371
#> 2     < 31.2       822  106  716 -0.13676519 0.0035843196 0.5545619
#> 3     < 37.8      1133  115 1018  0.13365680 0.0042514380 0.4737339
#> 4     < 44.4       943   82  861  0.30436899 0.0171748162 0.4262287
#> 5       < 51       623   52  571  0.34913923 0.0146733167 0.4142794
#> 6     < 57.6       612   66  546  0.06595797 0.0005741022 0.4933757
#> 7     < 64.2       229   43  186 -0.58245971 0.0213871054 0.6967893
#> 8     < 70.8        34   12   22 -1.44087046 0.0255269312 0.9366674
#> 9     < 77.4        25   13   12 -2.12704897 0.0471100183 0.9988455
#> 10   >= 77.4        15    4   11 -1.03540535 0.0051663529 0.8366407

# plot
plot(bins)