bivar_table: Bivariate Table
In jinlow/report.tools: Tools to help create analytic reports

Description Usage Arguments Value Examples

Create a table that shows how a binary field distributes along another discrete variable. Supports all unique values in a variable, custom cut functions, or has a limited number of created helper cut functions for continious variables.

1 2	bivar_table(x, var, bivar, extra_vars = NULL, cut_fmt = NULL, na_last = FALSE, decreasing = FALSE)

`x`	a `data.frame` or `data.table` object.
`var`	a variable to break up the data, either all unique levels will be used, or binned levels if a `cut_fmt` is chosen.
`bivar`	a binary performance vector to destribute along `var`
`extra_vars`	extra binary variables to distribute in addition to the `bivar`.
`cut_fmt`	a function used to cut a numeric column into descrete levels to use in the table. Default is set to `NULL`. `cut_fmt` supports the following predefined functions: Set `cut_fmt = "decile"` to cut the numeric column into decile breaks. Set `cut_fmt = "quantile"` to cut the numneric column into quantile breaks.
`na_last`	set to `TRUE` to have any `NA` values that may be present in the provided columns to be placed in the last row of the bivariate table. Default is set to `FALSE`.
`decreasing`	if set to `TRUE` the unique levels of the columns will be presented in a decreasing order. Default is set to `FALSE`.

A bivariate table with the performance field distributed along the levels of the selected variable.

# Create a bivariate of vs by cyl
bivar_table(x = mtcars, var = "cyl", bivar = "vs")

# add extra variable am
bivar_table(x = mtcars, var = "cyl", bivar = "vs", extra_vars = "am")

# Use custom predifined cut function
bivar_table(x = mtcars, var = "mpg", bivar = "vs", extra_vars = "am", cut_fmt = "quantile")