bivariate_table: Calculate bivariate table from a vector and a response...
In jbkunst/irks: Tools for credit risk modelling

Calculate bivariate table from a vector and a response variable

1	bivariate_table(x, target, add.prop.test = TRUE, conf.level = 0.95)

`x`	A variable.
`target`	A binary variable same length as `x`.
`add.prop.test`	Boolean to add or not the `prop.test` by categories.
`conf.level`	Confidence level of the returned confidence interval.

data(german_credit)

bivariate_table(german_credit$purpose, german_credit$good_bad)


x <- cut(german_credit$duration_in_month, c(0, 6, 12, 24, 36, Inf))
target <- german_credit$good_bad

bivariate_table(x, target)