plot_special: Additional plotting functions for termination studies

In actxps: Create Actuarial Experience Studies: Prepare Data, Summarize Results, and Create Reports

Additional plotting functions for termination studies

Description

These functions create additional experience study plots that are not available or difficult to produce using the autoplot.exp_df() function.

Usage

plot_termination_rates(object, ..., include_cred_adj = FALSE)

plot_actual_to_expected(object, ..., add_hline = TRUE)

Arguments

object	An object of class exp_df created by the function exp_stats().
...	Additional arguments passed to autoplot.exp_df().
include_cred_adj	If TRUE, credibility-weighted termination rates will be plotted as well.
add_hline	If TRUE, a blue dashed horizontal line will be drawn at 100%.

Details

plot_termination_rates() - Create a plot of observed termination rates and any expected termination rates attached to an exp_df object.

plot_actual_to_expected() - Create a plot of actual-to-expected termination rates attached to an exp_df object.

Value

a ggplot object

See Also

autoplot.exp_df()

Examples

study_py <- expose_py(census_dat, "2019-12-31", target_status = "Surrender")
expected_table <- c(seq(0.005, 0.03, length.out = 10), 0.2, 0.15, rep(0.05, 3))

study_py <- study_py |>
  mutate(expected_1 = expected_table[pol_yr],
         expected_2 = ifelse(inc_guar, 0.015, 0.03))

exp_res <- study_py |> group_by(pol_yr) |>
  exp_stats(expected = c("expected_1", "expected_2"))

plot_termination_rates(exp_res)

plot_actual_to_expected(exp_res)

actxps documentation built on June 26, 2024, 9:07 a.m.