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Dataframe contains one row for each combination of gender and birth year.

As mortality tables are calibrated to a specific birth year, earlier or later birth years must be shifted.

Example: A shift of -3 for a 50 year old means that the mortality of a 47 year old will be used.

This data belongs to the set of mortality_xmpl, age_shift_xmpl and is totally made up to show functionalities of the package.

Usage

age_shift_xmpl

Format

age_shift_xmpl

A data frame with 228 rows and 3 columns:

Gender

"m" or "f" for male or female

Birth_year

Birth year

Age_shift

Age shift

Source

Made up dataframe to show functionalities of the package.