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

generate_remove_missing_codeR Documentation

Autogenerate code for removing coded missing values (set to NA) in REDCap data

Description

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

Usage

generate_remove_missing_code(metadata, dataset_name = "data",
  negative_char = "_")

Arguments

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

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_date_conversion_code, generate_formatting_code, generate_remove_outliers_code


smockin/RedcapData documentation built on Feb. 2, 2023, 3:19 a.m.