Check an experience dataset

Check that an experience dataset contains the required columns with the expected classes, and validate the classes of optional columns when present.

Usage

check_experience(df)

Arguments

df

A data.frame containing experience data.

Value

Invisibly returns the result of .check_col_spec().

Required columns

These columns must be present:

• cym : Calendar year-month (Date)

• uym : Underwriting year-month (Date)

• loss : Incurred loss amount (numeric)

• rp : Risk premium (numeric)

Optional columns

These columns are validated only when present:

• elap_m : Elapsed month (integer)

• pd_tp_cd, pd_tp_nm, pd_cd, pd_nm: Product type/product codes and names (character)

• cv_tp_cd, cv_tp_nm, cv_cd, cv_nm: Coverage type/coverage codes and names (character)

• rd_tp_cd, rd_tp_nm, rd_cd, rd_nm: Rider type/rider codes and names (character)

• age_band : Age band (ordered)

• gender : Gender (factor)

• ch_cd, ch_nm : Channel code and name (character)

• n_policy : Number of unique policies in the cell (integer)

Derived columns

The following columns may be derived later by add_experience_period() and are not validated here:

• uy, uyh, uyq : Underwriting year, half-year, quarter

• cy, cyh, cyq : Calendar year, half-year, quarter

• elap_y, elap_h, elap_q : Elapsed year, half-year, quarter

See also

as_experience(), add_experience_period(), .check_col_spec()