Bin continuous data using the equal frequency binning method.
Usage
rbin_equal_freq(data = NULL, response = NULL, predictor = NULL, bins = 10)
# S3 method for rbin_equal_freq
plot(x, print_plot = TRUE, ...)Arguments
- data
A
data.frameortibble.- response
Response variable.
- predictor
Predictor variable.
- bins
Number of bins.
- x
An object of class
rbin_quantiles.- print_plot
logical; if
TRUE, prints the plot else returns a plot object.- ...
further arguments passed to or from other methods.
Examples
bins <- rbin_equal_freq(mbank, y, age, 10)
bins
#> Binning Summary
#> ------------------------------------
#> Method Equal Frequency
#> Response y
#> Predictor age
#> Bins 10
#> Count 4521
#> Goods 517
#> Bads 4004
#> Entropy 0.5
#> Information Value 0.11
#>
#>
#> lower_cut upper_cut bin_count good bad good_rate woe iv
#> 1 18 29 452 77 375 0.17035398 -0.46388566 2.564352e-02
#> 2 29 31 452 53 399 0.11725664 -0.02833676 8.116094e-05
#> 3 31 34 452 44 408 0.09734513 0.18007127 3.023706e-03
#> 4 34 36 452 45 407 0.09955752 0.15514443 2.266308e-03
#> 5 36 39 452 47 405 0.10398230 0.10673320 1.092922e-03
#> 6 39 42 452 37 415 0.08185841 0.37035434 1.188083e-02
#> 7 42 46 452 43 409 0.09513274 0.20550877 3.899674e-03
#> 8 46 51 452 34 418 0.07522124 0.46211464 1.785222e-02
#> 9 51 56 452 50 402 0.11061947 0.03742282 1.380079e-04
#> 10 56 84 453 87 366 0.19205298 -0.61028105 4.691227e-02
#> entropy
#> 1 0.6585139
#> 2 0.5214234
#> 3 0.4605229
#> 4 0.4675914
#> 5 0.4814936
#> 6 0.4086938
#> 7 0.4533741
#> 8 0.3851129
#> 9 0.5017816
#> 10 0.7057464
# plot
plot(bins)
