Automatically create a ggplot for objects obtained from univariate()

Source: R/univariate.R

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

# S3 method for univariate
autoplot(
  object,
  show_plots = 1:9,
  ncol = 1,
  background = TRUE,
  labels = TRUE,
  sort = FALSE,
  sort_manual = NULL,
  dec.mark = ",",
  color = "dodgerblue",
  color_bg = "lightskyblue",
  label_width = 10,
  coord_flip = FALSE,
  show_total = FALSE,
  total_color = NULL,
  total_name = NULL,
  rotate_angle = NULL,
  ...
)

Arguments

object

univariate object produced by univariate()

show_plots

numeric vector of plots to be shown (default is c(1,2,3,4,5,6,7,8,9)), there are nine available plots:

  • 1. frequency (i.e. number of claims / exposure)

  • 2. average severity (i.e. severity / number of claims)

  • 3. risk premium (i.e. severity / exposure)

  • 4. loss ratio (i.e. severity / premium)

  • 5. average premium (i.e. premium / exposure)

  • 6. exposure

  • 7. severity

  • 8. nclaims

  • 9. premium

ncol

number of columns in output (default is 1)

background

show exposure as a background histogram (default is TRUE)

labels

show labels with the exposure (default is TRUE)

sort

sort (or order) risk factor into descending order by exposure (default is FALSE)

sort_manual

sort (or order) risk factor into own ordering; should be a character vector (default is NULL)

dec.mark

decimal mark; defaults to ","

color

change the color of the points and line ("dodgerblue" is default)

color_bg

change the color of the histogram ("#f8e6b1" is default)

label_width

width of labels on the x-axis (10 is default)

coord_flip

flip cartesian coordinates so that horizontal becomes vertical, and vertical, horizontal (default is FALSE)

show_total

show line for total if by is used in univariate (default is FALSE)

total_color

change the color for the total line ("black" is default)

total_name

add legend name for the total line (e.g. "total")

rotate_angle

numeric value for angle of labels on the x-axis (degrees)

...

other plotting parameters to affect the plot

Value

a ggplot2 object

Author

Marc Haine, Martin Haringa

Examples

library(ggplot2)
x <- univariate(MTPL2, x = area, severity = amount, nclaims = nclaims,
exposure = exposure)
autoplot(x)
#> Ignoring plots 4, 5, 9: input is unknown

autoplot(x, show_plots = c(6,1), background = FALSE, sort = TRUE)


# Group by `zip`
xzip <- univariate(MTPL, x = bm, severity = amount, nclaims = nclaims,
exposure = exposure, by = zip)
autoplot(xzip, show_plots = 1:2)
#> Warning: Removed 16 rows containing missing values (`geom_point()`).
#> Warning: Removed 5 rows containing missing values (`geom_line()`).