ezr.plot_against_target: Plot Number Against Binary Target
In jmp1989/easyr: Helpful wrappers for common EDA, Data Manipulation, & Modeling

Description Usage Arguments Details Value

Plot a column against a binary target.

ezr.plot_against_target(dataset, predictor, binary_target,
  style = "equal", n_breaks = 10, fixed_breaks = NULL,
  return_as_1plot = TRUE, add_text = TRUE, default_bar_color = FALSE,
  include_response_rate = TRUE, higher_morelikely = TRUE,
  round_breaks = 0)

`dataset`	dataframe
`predictor`	numerical value
`binary_target`	a column that only has 0s and 1s.
`style`	Values are 'fixed','equal','quantile','pretty','percentile'. Default is EQUAL with n_breaks=10
`n_breaks`	Default is 10. How many bins you want.
`fixed_breaks`	If style=FIXED then you want a vector of values such as seq(0,1000,100)
`return_as_1plot`	Default is TRUE. If TRUE, this returns a singple plot. Otherwise returns list of plots
`add_text`	Future work...add text to bar plots.
`default_bar_color`	TRUE or FALSE. Default is FALSE. This means plot comes out as black. If True then color is orange.
`include_response_rate.`	Default TRUE. Add the response rate plot to the capture rate plot
`higher_morelikely.`	Default is TRUE. Higher prediction value = more likely to be a 1. Needs to be set in order for gainslift to be sorted correctly.