blorr: blr_lorenz_curve – R documentation

Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!

blr_lorenz_curve

Lorenz curve

Description

Lorenz curve is a visual representation of inequality. It is used to measure the discriminatory power of the predictive model.

Usage

blr_lorenz_curve(
  model,
  data = NULL,
  title = "Lorenz Curve",
  xaxis_title = "Cumulative Events %",
  yaxis_title = "Cumulative Non Events %",
  diag_line_col = "red",
  lorenz_curve_col = "blue",
  print_plot = TRUE
)

Arguments

`model`	An object of class `glm`.
`data`	A `tibble` or `data.frame`.
`title`	Plot title.
`xaxis_title`	X axis title.
`yaxis_title`	Y axis title.
`diag_line_col`	Diagonal line color.
`lorenz_curve_col`	Color of the lorenz curve.
`print_plot`	logical; if `TRUE`, prints the plot else returns a plot object.

Examples

model <- glm(honcomp ~ female + read + science, data = hsb2,
family = binomial(link = 'logit'))

blr_lorenz_curve(model)

blorr

Tools for Developing Binary Logistic Regression Models

v0.3.0

MIT + file LICENSE

Authors

Aravind Hebbali [aut, cre] (<https://orcid.org/0000-0001-9220-9669>)

Initial release