transform_data: Transform a data.frame according to the requirements of the...
In logib: Salary Analysis by the Swiss Federal Office for Gender Equality

Transforms specific columns of a data.frame to match the requirements of the standard analysis model.

transform_data(
  data,
  reference_year,
  female_spec = "F",
  male_spec = "M",
  age_spec = NULL,
  entry_date_spec = NULL
)

`data`	a dataframe object as produced by `read_data` which is to be transformed
`reference_year`	a number indicating the reference year of the analysis
`female_spec`	a string or number indicating the way females are specified in the dataset.
`male_spec`	a string or number indicating the way males are specified in the dataset
`age_spec`	a string indicating the age specification, can be one of `NULL`, `"age"`, `"birthyear"`, or `"date_of_birth"`. If this parameter is set to `NULL`, the function automatically tries to infers the specification
`entry_date_spec`	a string indicating the entry_date specification, can be one of `NULL`, `"years"`, `"entry_year"`, or `"entry_date"`. If this parameter is set to `NULL`, the function automatically tries to infers the specification