plot_special_trx: Additional plotting functions for transaction studies

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

Additional plotting functions for transaction studies

Description

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

Usage

plot_utilization_rates(object, ...)

Arguments

object	An object of class trx_df created by the function trx_stats().
...	Additional arguments passed to autoplot.trx_df().

Details

plot_utilization_rates() - Create a plot of transaction frequency and severity. Frequency is represented by utilization rates (trx_util). Severity is represented by transaction amounts as a percentage of one or more other columns in the data (⁠{*}_w_trx⁠). All severity series begin with the prefix "pct_of_" and end with the suffix "_w_trx". The suffix refers to the fact that the denominator only includes records with non-zero transactions. Severity series are based on column names passed to the percent_of argument in trx_stats(). If no "percentage of" columns exist in object, this function will only plot utilization rates.

Value

a ggplot object

See Also

autoplot.trx_df()

Examples

study_py <- expose_py(census_dat, "2019-12-31",
                      target_status = "Surrender") |>
  add_transactions(withdrawals) |>
  left_join(account_vals, by = c("pol_num", "pol_date_yr"))

trx_res <- study_py |> group_by(pol_yr) |>
  trx_stats(percent_of = "av_anniv", combine_trx = TRUE)

plot_utilization_rates(trx_res)

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