level.stat: Statistics for binary outputs in different levels and...

In JianhuaHuang/streamlineR: Streamline Routine Modeling Work

Description

level.stat provides the useful statistics for different levels (groups) in the given independent variables.

Usage

level.stat(data, x = NULL, y, flag.0 = 0, flag.1 = 1)

Arguments

data	The data frame used for the statistics
x	The independent variable. If it is NULL, then all variables except y are used.
y	The binary outputs
flag.0	The value representing 0 in y
flag.1	The value representing 1 in y

Value

a data frame inclduing frequency, rates, Weight of Evidence (WOE), and Information Value (IV) for each level. The return data is already ranked by the IV values from high to low.

Examples

data <- rpart::stagec
level.stat(data, x = c('eet', 'ploidy'), y = 'pgstat')

JianhuaHuang/streamlineR documentation built on May 7, 2019, 10:40 a.m.