generate_remove_missing_code | R Documentation |
This is a utility function that employs code generation to produce r code for cleaning data.
generate_remove_missing_code(metadata, dataset_name = "data", negative_char = "_")
metadata |
REDCap metadata |
dataset_name |
Name of the dataset that will be recorded in place |
negative_char |
checkbox expansion character for a negative checkbox level |
Using the redcap metadata, code is generated that removes coded missing data from repo.
This is useful as missing data is coded in a variety of ways and this has to be reset to missing for accurate data analysis especially in frequency counts, contingency tabling and modelling.
Code that can be evaluated to clean data
Other Code Generators: generate_data_validation_code
,
generate_date_conversion_code
,
generate_formatting_code
,
generate_remove_outliers_code
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