ranking_percent_proc: Ranking Percent Process

In creditmodel: Toolkit for Credit Modeling, Analysis and Visualization

Description

ranking_percent_proc is for processing ranking percent variables. ranking_percent_dict is for generating ranking percent dictionary.

Usage

ranking_percent_proc(
  dat,
  ex_cols = NULL,
  x_list = NULL,
  rank_dict = NULL,
  pct = 0.01,
  parallel = FALSE,
  note = FALSE,
  save_data = FALSE,
  file_name = NULL,
  dir_path = tempdir(),
  ...
)

ranking_percent_proc_x(dat, x, rank_dict = NULL, pct = 0.01)

ranking_percent_dict(
  dat,
  x_list = NULL,
  ex_cols = NULL,
  pct = 0.01,
  parallel = FALSE,
  save_data = FALSE,
  file_name = NULL,
  dir_path = tempdir(),
  ...
)

ranking_percent_dict_x(dat, x = NULL, pct = 0.01)

Arguments

dat	A data.frame.
ex_cols	Names of excluded variables. Regular expressions can also be used to match variable names. Default is NULL.
x_list	A list of x variables.
rank_dict	The dictionary of rank_percent generated by ranking_percent_dict .
pct	Percent of rank. Default is 0.01.
parallel	Logical, parallel computing. Default is FALSE.
note	Logical, outputs info. Default is TRUE.
save_data	Logical, save results in locally specified folder. Default is FALSE
file_name	The name for periodically saved rank_percent data file. Default is "dat_rank_percent".
dir_path	The path for periodically saved rank_percent data file Default is "tempdir()"
...	Additional parameters.
x	The name of an independent variable.

Value

Data.frame with new processed variables.

Examples

rank_dict = ranking_percent_dict(dat = UCICreditCard[1:1000,],
x_list = c("LIMIT_BAL","BILL_AMT2","PAY_AMT3"), ex_cols = NULL )
UCICreditCard_new = ranking_percent_proc(dat = UCICreditCard[1:1000,],
x_list = c("LIMIT_BAL", "BILL_AMT2", "PAY_AMT3"), rank_dict = rank_dict, parallel = FALSE)

creditmodel documentation built on Jan. 7, 2022, 5:06 p.m.