blr_woe_iv function

WoE & IV

Weight of evidence and information value. Currently avialable for categorical predictors only.

blr_woe_iv(data, predictor, response, digits = 4, ...)

## S3 method for class 'blr_woe_iv'
plot(
  x,
  title = NA,
  xaxis_title = "Levels",
  yaxis_title = "WoE",
  bar_color = "blue",
  line_color = "red",
  print_plot = TRUE,
  ...
)

Arguments

• data: A tibble or data.frame.
• predictor: Predictor variable; column in data.
• response: Response variable; column in data.
• digits: Number of decimal digits to round off.
• ...: Other inputs.
• x: An object of class blr_segment_dist.
• title: Plot title.
• xaxis_title: X axis title.
• yaxis_title: Y axis title.
• bar_color: Color of the bar.
• line_color: Color of the horizontal line.
• print_plot: logical; if TRUE, prints the plot else returns a plot object.

Returns

A tibble.

Examples

# woe and iv
k <- blr_woe_iv(hsb2, female, honcomp)
k

# plot woe
plot(k)

References

Siddiqi N (2006): Credit Risk Scorecards: developing and implementing intelligent credit scoring. New Jersey, Wiley.

See Also

Other bivariate analysis procedures: blr_bivariate_analysis(), blr_segment(), blr_segment_dist(), blr_segment_twoway(), blr_woe_iv_stats()