Plot woes
Examples
data("woes")
pps <- gg_woes(woes)
#> id_client (IV = 0.42%)
#> sex (IV = 2.60%)
#> marital_status (IV = 9.60%)
#> age (IV = 19.40%)
#> flag_res_phone (IV = 7.54%)
#> area_code_res_phone (IV = 4.17%)
#> payment_day (IV = 2.18%)
#> residence_type (IV = 0.72%)
#> months_in_residence (IV = 1.72%)
#> months_in_the_job (IV = 8.96%)
#> profession_code (IV = 6.18%)
#> personal_net_income (IV = 4.10%)
#> quant_add_cards (IV = 1.84%)
if(require(patchwork)){
  purrr::reduce(pps, `+`)  &
     ggplot2::theme(
       axis.text.x = ggplot2::element_text(size = 7),
       axis.text.y = ggplot2::element_text(size = 7)
       )
}
#> Loading required package: patchwork
 gg_woes(woes, variable = "woe")
#> id_client (IV = 0.42%)
#> sex (IV = 2.60%)
#> marital_status (IV = 9.60%)
#> age (IV = 19.40%)
#> flag_res_phone (IV = 7.54%)
#> area_code_res_phone (IV = 4.17%)
#> payment_day (IV = 2.18%)
#> residence_type (IV = 0.72%)
#> months_in_residence (IV = 1.72%)
#> months_in_the_job (IV = 8.96%)
#> profession_code (IV = 6.18%)
#> personal_net_income (IV = 4.10%)
#> quant_add_cards (IV = 1.84%)
#> $id_client
gg_woes(woes, variable = "woe")
#> id_client (IV = 0.42%)
#> sex (IV = 2.60%)
#> marital_status (IV = 9.60%)
#> age (IV = 19.40%)
#> flag_res_phone (IV = 7.54%)
#> area_code_res_phone (IV = 4.17%)
#> payment_day (IV = 2.18%)
#> residence_type (IV = 0.72%)
#> months_in_residence (IV = 1.72%)
#> months_in_the_job (IV = 8.96%)
#> profession_code (IV = 6.18%)
#> personal_net_income (IV = 4.10%)
#> quant_add_cards (IV = 1.84%)
#> $id_client
 #> 
#> $sex
#> 
#> $sex
 #> 
#> $marital_status
#> 
#> $marital_status
 #> 
#> $age
#> 
#> $age
 #> 
#> $flag_res_phone
#> 
#> $flag_res_phone
 #> 
#> $area_code_res_phone
#> 
#> $area_code_res_phone
 #> 
#> $payment_day
#> 
#> $payment_day
 #> 
#> $residence_type
#> 
#> $residence_type
 #> 
#> $months_in_residence
#> 
#> $months_in_residence
 #> 
#> $months_in_the_job
#> 
#> $months_in_the_job
 #> 
#> $profession_code
#> 
#> $profession_code
 #> 
#> $personal_net_income
#> 
#> $personal_net_income
 #> 
#> $quant_add_cards
#> 
#> $quant_add_cards
 #> 
gg_woes(woes, variable = "bin_iv")
#> id_client (IV = 0.42%)
#> sex (IV = 2.60%)
#> marital_status (IV = 9.60%)
#> age (IV = 19.40%)
#> flag_res_phone (IV = 7.54%)
#> area_code_res_phone (IV = 4.17%)
#> payment_day (IV = 2.18%)
#> residence_type (IV = 0.72%)
#> months_in_residence (IV = 1.72%)
#> months_in_the_job (IV = 8.96%)
#> profession_code (IV = 6.18%)
#> personal_net_income (IV = 4.10%)
#> quant_add_cards (IV = 1.84%)
#> $id_client
#> 
gg_woes(woes, variable = "bin_iv")
#> id_client (IV = 0.42%)
#> sex (IV = 2.60%)
#> marital_status (IV = 9.60%)
#> age (IV = 19.40%)
#> flag_res_phone (IV = 7.54%)
#> area_code_res_phone (IV = 4.17%)
#> payment_day (IV = 2.18%)
#> residence_type (IV = 0.72%)
#> months_in_residence (IV = 1.72%)
#> months_in_the_job (IV = 8.96%)
#> profession_code (IV = 6.18%)
#> personal_net_income (IV = 4.10%)
#> quant_add_cards (IV = 1.84%)
#> $id_client
 #> 
#> $sex
#> 
#> $sex
 #> 
#> $marital_status
#> 
#> $marital_status
 #> 
#> $age
#> 
#> $age
 #> 
#> $flag_res_phone
#> 
#> $flag_res_phone
 #> 
#> $area_code_res_phone
#> 
#> $area_code_res_phone
 #> 
#> $payment_day
#> 
#> $payment_day
 #> 
#> $residence_type
#> 
#> $residence_type
 #> 
#> $months_in_residence
#> 
#> $months_in_residence
 #> 
#> $months_in_the_job
#> 
#> $months_in_the_job
 #> 
#> $profession_code
#> 
#> $profession_code
 #> 
#> $personal_net_income
#> 
#> $personal_net_income
 #> 
#> $quant_add_cards
#> 
#> $quant_add_cards
 #>
#>