autoplot.riskfactor: Automatically create a ggplot for objects obtained from...

In MHaringa/actuarialpricing: Analytic Insurance Rating Techniques

Automatically create a ggplot for objects obtained from rating_factors()

Description

Takes an object produced by rating_factors(), and plots the available input.

Usage

## S3 method for class 'riskfactor'
autoplot(
  object,
  risk_factors = NULL,
  ncol = 1,
  labels = TRUE,
  dec.mark = ",",
  ylab = "rate",
  fill = NULL,
  color = NULL,
  linetype = FALSE,
  ...
)

Arguments

object	riskfactor object produced by rating_factors()
risk_factors	character vector to define which factors are included. Defaults to all risk factors.
ncol	number of columns in output (default is 1)
labels	show labels with the exposure (default is TRUE)
dec.mark	control the format of the decimal point, as well as the mark between intervals before the decimal point, choose either "," (default) or "."
ylab	modify label for the y-axis
fill	color to fill histogram
color	color to plot line colors of histogram (default is "skyblue")
linetype	use different linetypes (default is FALSE)
...	other plotting parameters to affect the plot

Value

a ggplot2 object

Author(s)

Martin Haringa

Examples

library(dplyr)
df <- MTPL2 |>
  mutate(across(c(area), as.factor)) |>
  mutate(across(c(area), ~biggest_reference(., exposure)))

mod1 <- glm(nclaims ~ area + premium, offset = log(exposure),
 family = poisson(), data = df)
mod2 <- glm(nclaims ~ area, offset = log(exposure), family = poisson(),
 data = df)

x <- rating_factors(mod1, mod2, model_data = df, exposure = exposure)
autoplot(x)

MHaringa/actuarialpricing documentation built on June 13, 2025, 1:40 p.m.