Tabular experience study summary — autotable • actxps

autotable() is a generic function used to create a table from an object of a particular class. Tables are constructed using the gt package.

autotable.exp_df() is used to convert experience study results to a presentation-friendly format.

autotable.trx_df() is used to convert transaction study results to a presentation-friendly format.

Usage

autotable(object, ...)

# S3 method for class 'exp_df'
autotable(
  object,
  fontsize = 100,
  decimals = 1,
  colorful = TRUE,
  color_q_obs = "RColorBrewer::GnBu",
  color_ae_ = "RColorBrewer::RdBu",
  rename_cols = rlang::list2(...),
  show_conf_int = FALSE,
  show_cred_adj = FALSE,
  decimals_amt = 0,
  suffix_amt = FALSE,
  show_total = FALSE,
  ...
)

# S3 method for class 'trx_df'
autotable(
  object,
  fontsize = 100,
  decimals = 1,
  colorful = TRUE,
  color_util = "RColorBrewer::GnBu",
  color_pct_of = "RColorBrewer::RdBu",
  rename_cols = rlang::list2(...),
  show_conf_int = FALSE,
  decimals_amt = 0,
  suffix_amt = FALSE,
  show_total = FALSE,
  ...
)

Arguments

object: An object of class exp_df usually created by the function exp_stats() or an object of class trx_df created by the trx_stats() function.
...: Additional arguments passed to gt::gt().
fontsize: Font size percentage multiplier.
decimals: Number of decimals to display for percentages
colorful: If TRUE, color will be added to the the observed termination rate and actual-to-expected columns for termination studies, and the utilization rate and "percentage of" columns for transaction studies.
color_q_obs: Color palette used for the observed termination rate.
color_ae_: Color palette used for actual-to-expected rates.
rename_cols: An optional list consisting of key-value pairs. This can be used to relabel columns on the output table. This parameter is most useful for renaming grouping variables that will appear under their original variable names if left unchanged. See gt::cols_label() for more information.
show_conf_int: If TRUE confidence intervals will be displayed assuming they are available on object.
show_cred_adj: If TRUE credibility-weighted termination rates will be displayed assuming they are available on object.
decimals_amt: Number of decimals to display for amount columns (number of claims, claim amounts, exposures, transaction counts, total transactions, and average transactions)
suffix_amt: This argument has the same meaning as the suffixing argument in gt::fmt_number() for amount columns. If FALSE (the default), no scaling or suffixing are applied to amount columns. If TRUE, all amount columns are automatically scaled and suffixed by "K" (thousands), "M" (millions), "B" (billions), or "T" (trillions). See gt::fmt_number() for more information.
show_total: If TRUE the table will include grand total row(s).
color_util: Color palette used for utilization rates.
color_pct_of: Color palette used for "percentage of" columns.

Value

a gt object

Details

The color_q_obs, color_ae_, color_util, and color_pct_of arguments must be strings referencing a discrete color palette available in the paletteer package. Palettes must be in the form "package::palette". For a full list of available palettes, see paletteer::palettes_d_names.

Examples


if (interactive()) {
  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)) |>
    add_transactions(withdrawals) |>
    left_join(account_vals, by = c("pol_num", "pol_date_yr"))

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

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