expose_split {actxps}R Documentation

Split calendar exposures by policy year


Split calendar period exposures that cross a policy anniversary into a pre-anniversary record and a post-anniversary record.

After splitting the data, the resulting data frame will contain both calendar exposures and policy year exposures. These columns will be named exposure_cal and exposure_pol, respectively. Calendar exposures will be in the original units passed to expose_split(). Policy exposures will always be expressed in years.

After splitting exposures, downstream functions like exp_stats() and exp_shiny() will require clarification as to which exposure basis should be used to summarize results.

is_split_exposed_df() will return TRUE if x is a split_exposed_df object.






An exposed_df object with calendar period exposures.


Any object


.data must be an exposed_df with calendar year, quarter, month, or week exposure records. Calendar year exposures are created by the functions expose_cy(), expose_cq(), expose_cm(), or expose_cw(), (or expose() when cal_expo = TRUE).


For expose_split(), a tibble with class split_exposed_df, exposed_df, tbl_df, tbl, and data.frame. The results include all columns in .data except that exposure has been renamed to exposure_cal. Additional columns include:

For is_split_exposed_df(), a length-1 logical vector.

See Also

expose() for information on creating exposure records from census data.


toy_census |> expose_cy("2022-12-31") |> expose_split()

[Package actxps version 1.4.0 Index]