Prepares a dataframe for the analysis
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, female_spec = "F", male_spec = "M", age_spec = NULL, entry_date_spec = NULL, ignore_plausibility_check = FALSE, prompt_data_cleanup = FALSE )
data |
a dataframe object as produced by |
reference_month |
a number indicating the reference month of the analysis |
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
|
entry_date_spec |
a string indicating the entry_date specification, can
be one of |
ignore_plausibility_check |
a boolean indicating whether the user wants
to ignore implausible data. If |
prompt_data_cleanup |
a boolean indicating whether the user wants to be
prompted regarding incorrect data values. If |
a data.frame which has no incorrect rows left and can be used to estimate the standard analysis model
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