GenerateCodeToRemoveCodedMissingValues: Autogenerate code for removing coded missing values (set to...

Description Usage Arguments Details Value See Also

Description

This is a utility function that employs code generation to produce r code for cleaning data.

Usage

1
generate_remove_missing_code(metadata, dataset_name = "data")

Arguments

metadata

REDCap metadata

dataset_name

Name of the dataset that will be recorded in place

Details

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.

Value

Code that can be evaluated to clean data

See Also

Other Code Generators: generate_data_validation_code, generate_error_report_code; generate_date_conversion_code; generate_formatting_code; generate_remove_outliers_code


Maglado/redcapdata_p documentation built on May 26, 2019, 4:37 p.m.