Package: REDCapCAST Title: REDCap Castellated data handling Version: 23.4.1 Authors@R: c( person("Andreas Gammelgaard", "Damsbo", email = "agdamsbo@clin.au.dk", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7559-1154")), person("Paul", "Egeler", email = "paul.egeler@spectrumhealth.org", role = "aut")) Description: This package is based on REDCapRITS by Paul Egeler and Spectrum Health. See [https://github.com/SpectrumHealthResearch/REDCapRITS](https://github.com/SpectrumHealthResearch/REDCapRITS). Handle the castellated dataset from REDCap projects with repeating instruments. Split data into multiple tables. This will take raw output from a REDCap export and split it into a base table and child tables for each repeated instrument. 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 (; ). Depends: R (>= 3.4.0) Suggests: spelling, RCurl, httr, jsonlite, testthat, Hmisc, readr, covr, knitr, rmarkdown, gt, keyring License: GPL (>= 3) Encoding: UTF-8 LazyData: true RoxygenNote: 7.2.3 URL: https://github.com/agdamsbo/REDCapRITS BugReports: https://github.com/agdamsbo/REDCapRITS/issues Imports: dplyr, REDCapR, tidyr, tidyselect Collate: 'utils.r' 'process_user_input.r' 'REDCap_split.r' 'read_redcap_tables.R' 'redcap_wider.R' Language: en-US VignetteBuilder: knitr