filter_var: Data Filtering

In autoScorecard: Fully Automatic Generation of Scorecards

Data Filtering

Description

Data Filtering

Usage

filter_var(
  df,
  key_var,
  y_var,
  missing_rate,
  single_var_rate,
  iv_set,
  char_to_number = TRUE,
  na.omit = TRUE
)

Arguments

df	A data.frame with independent variables and target variable.
key_var	A name of index variable name.
y_var	A name of target variable.
missing_rate	Data missing rate, variables smaller than this setting will be deleted.
single_var_rate	The maximum proportion of a single variable, the variable greater than the setting will be deleted.
iv_set	IV value minimum threshold, variable IV value less than the setting will be deleted.
char_to_number	Whether to convert character variables to numeric.
na.omit	na.omit returns the object with incomplete cases removed.

Value

A data frame.

Examples

accepts <- read.csv( system.file( "extdata" , "accepts.csv",package = "autoScorecard" ))
fff1 <- filter_var( df = accepts, key_var = "application_id", y_var = "bad_ind", missing_rate = 0,
single_var_rate = 1, iv_set = 0.02 )

autoScorecard documentation built on July 9, 2023, 5:32 p.m.