insurancerating (version 0.7.2)

autoplot.constructtariffclasses: Automatically create a ggplot for objects obtained from construct_tariff_classes()

Description

Takes an object produced by construct_tariff_classes(), and plots the fitted GAM. In addition the constructed tariff classes are shown.

Takes an object produced by construct_tariff_classes(), and plots the fitted GAM. In addition the constructed tariff classes are shown.

Usage

# S3 method for constructtariffclasses
autoplot(
  object,
  conf_int = FALSE,
  color_gam = "steelblue",
  show_observations = FALSE,
  color_splits = "grey50",
  size_points = 1,
  color_points = "black",
  rotate_labels = FALSE,
  remove_outliers = NULL,
  ...
)
# S3 method for constructtariffclasses
autoplot(
  object,
  conf_int = FALSE,
  color_gam = "steelblue",
  show_observations = FALSE,
  color_splits = "grey50",
  size_points = 1,
  color_points = "black",
  rotate_labels = FALSE,
  remove_outliers = NULL,
  ...
)

Value

a ggplot object

a ggplot object

Arguments

object

constructtariffclasses object produced by construct_tariff_classes

conf_int

determines whether 95 percent confidence intervals will be plotted. The default is conf_int = FALSE

color_gam

a color can be specified either by name (e.g.: "red") or by hexadecimal code (e.g. : "#FF1234") (default is "steelblue")

show_observations

add observed frequency/severity points for each level of the variable for which tariff classes are constructed

color_splits

change the color of the splits in the graph ("grey50" is default)

size_points

size for points (1 is default)

color_points

change the color of the points in the graph ("black" is default)

rotate_labels

rotate x-labels 45 degrees (this might be helpful for overlapping x-labels)

remove_outliers

do not show observations above this number in the plot. This might be helpful for outliers.

...

other plotting parameters to affect the plot

Author

Martin Haringa

Examples

if (FALSE) {
library(ggplot2)
library(dplyr)
fit_gam(MTPL, nclaims = nclaims, x = age_policyholder, exposure = exposure) %>%
   construct_tariff_classes(.) %>%
   autoplot(., show_observations = TRUE)
}

if (FALSE) {
library(ggplot2)
library(dplyr)
fit_gam(MTPL, nclaims = nclaims, x = age_policyholder,
        exposure = exposure) %>%
   construct_tariff_classes(.) %>%
   autoplot(., show_observations = TRUE)
}