REDCap Castellated Data Handling
List-base regex case_when
Simple function to generate REDCap choices from character vector
Simple function to generate REDCap branching logic from character vect...
clean_redcap_name
Create two-column HTML table for data piping in REDCap instruments
Create zips file with necessary content based on data set
Convert single digits to words
Doc table to data dictionary - EARLY, DOCS MISSING
Extract data from stata file for data dictionary
(DEPRECATED) Data set to data dictionary function
Secure API key storage and data acquisition in one
Helper to import files correctly
focused_metadata
Sub-header formatting wrapper
Retrieve project API key if stored, if not, set and retrieve
Get the id name
Try at determining which are true time only variables
Change "hms" to "character" for REDCap upload.
Simple html tag wrapping for REDCap text formatting
Multi missing check
Test if repeatable or longitudinal
Completion marking based on completed upload
Match fields to forms
User input processing character
User input processing data.frame
User input processing default
User input processing
User input processing response
Flexible file import based on extension
Convenience function to download complete instrument, using token stor...
Download REDCap data
Split REDCap repeating instruments table into multiple tables
Redcap Wider
REDCapCAST: REDCap Castellated Data Handling
Replace curly apostrophes and quotes from word
Sanitize list of data frames
Shiny server factory
Launch the included Shiny-app for database casting and upload
Split a data frame into separate tables for each form
Extended string splitting
Correction based on time_only_filter function
UI factory for shiny app
Originally forked from the R part of 'REDCapRITS' by Paul Egeler. See <https://github.com/pegeler/REDCapRITS>. 'REDCap' database casting and handling of castellated data when using repeated instruments and longitudinal projects. Keeps a focused data export approach, by allowing to only export required data from the database. 'REDCap' (Research Electronic Data Capture) is a secure, web-based software platform designed to support data capture for research studies, providing 1) an intuitive interface for validated data capture; 2) audit trails for tracking data manipulation and export procedures; 3) automated export procedures for seamless data downloads to common statistical packages; and 4) procedures for data integration and interoperability with external sources (Harris et al (2009) <doi:10.1016/j.jbi.2008.08.010>; Harris et al (2019) <doi:10.1016/j.jbi.2019.103208>).
Useful links