ExpStat: Function provides summary statistics for individual...

View source: R/fn_exp_categorical.R

ExpStatR Documentation

Function provides summary statistics for individual categorical predictors

Description

Provides bivariate summary statistics for all the categorical predictors against target variables. Output includes chi - square value, degrees of freedom, information value, p-value

Usage

ExpStat(X, Y, valueOfGood = NULL)

Arguments

X

Independent categorical variable.

Y

Binary response variable, it can take values of either 1 or 0.

valueOfGood

Value of Y that is used as reference category.

Details

Summary statistics included Pearson's Chi-squared Test for Count Data, "chisq.test" which performs chi-squared contingency table tests and goodness-of-fit tests. If any NA value present in X or Y variable, which will be considered as NA as in category while computing the contingency table.

Also added unique levels for each X categorical variables and degrees of freedom

Value

The function provides summary statistics like

  • Unique number of levels

  • Chi square statistics

  • P value

  • df Degrees of freedom

  • IV Information value

  • Predictive class

See Also

chisq.test

Examples

X = mtcars$carb
Y = mtcars$am
ExpStat(X,Y,valueOfGood = 1)

SmartEDA documentation built on Dec. 4, 2022, 1:15 a.m.