Prepares a dataframe for the analysis in three steps:
Checks whether sex, age, and entry_date have the
correct format and whether their specifications are plausible
Build the dataframe used for the analysis
Check each row of the dataframe for correctness and plausibility
prepare_data(
data,
reference_month,
reference_year,
usual_weekly_hours,
female_spec = "F",
male_spec = "M",
age_spec = NULL,
entry_date_spec = NULL
)a data.frame which has no incorrect rows left and can be used to estimate the standard analysis model
a dataframe object as produced by read_data which is to
be used in the analysis
a number indicating the reference month of the analysis
a number indicating the reference year of the analysis
an optional numeric representing the usual weekly working hours
a string or number indicating the way females are specified in the dataset
a string or number indicating the way males are specified in the dataset
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
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