blorr (version 0.1.0)

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")

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.

See Also

Other model validation techniques: blr_confusion_matrix, blr_decile_capture_rate, blr_decile_lift_chart, blr_gains_table, blr_gini_index, blr_ks_chart, blr_roc_curve, blr_test_hosmer_lemeshow

Examples

# NOT RUN {
model <- glm(honcomp ~ female + read + science, data = hsb2,
family = binomial(link = 'logit'))

blr_lorenz_curve(model)

# }