tidyREDCap is an R package with functions for processing REDCap data.
‘REDCap’ (Research Electronic Data CAPture; https://projectredcap.org) is a web-enabled application for building and managing surveys and databases developed at Vanderbilt University.
💥 NEW in Version 1.1 💥
import_instruments() includes the repeat number for repeated instruments/forms/questionnaires.
import_instruments() will use an API call to load every instrument/questionnaire into its own R dataset. If the REDCap project is longitudinal or has repeated instruments, the function will remove blank records.
After loading data into R using RStudio with the
import_instruments() function, you can see both the variable name and the text that appears to users of REDCap. All you need to do is click on the dataset’s name in the Environment tab or use the View() function. The column headings will include both the variable name and the Field Label from REDCap.
💥 NEW in Version 1.1 💥 Functions coming from packages outside of
tidyREDCap may not understand what to do with labeled variables. So,
tidyREDCap includes a new
drop_labels() function that will allow you to strip the labels before using functions that want unlabeled data.
make_choose_one_table(): print a
janitor::tabyl()style table with a variable label. This function lets you print one choice from a choose all that apply question.
REDCap exports the responses to a choose all that apply question into many similarly named questions. tidyREDCap helps summarize the responses with two functions:
make_binary_word(): converts all the responses into a single descriptive “word”
make_choose_all_table(): converts all the responses into a single summary table
Projects that have repeated assessments with different questionnaires/instruments export with holes in the CSV. tidyREDCap will parse the export and create tables for any of the questionnaires/instruments:
make_instrument(): makes a tibble for a questionnaire/instrument
Main Page: https://raymondbalise.github.io/tidyREDCap/
User Guides: https://raymondbalise.github.io/tidyREDCap/articles/
Development Site: https://github.com/RaymondBalise/tidyREDCap
You can get the latest official release of tidyREDCap from CRAN.
Run these two lines of code to install tidyREDCap from GitHub (this requires RTools for Windows or Xcode for Mac to be installed on your computer):
if (!requireNamespace("devtools")) install.packages("devtools") devtools::install_github("RaymondBalise/tidyREDCap")
make_yes_no()function to convert “checked” or “yes”-like answers to “Yes” and other answers to “No or Unknown”.
make_yes_no_unknown()function to convert “checked” or “yes”-like answers to “Yes”“, unchecked or”no”-like answers to “No” and other answers to “Unknown”.
We are currently in active development of tidyREDCap. If one of our functions does not work the way that you expect, or if one of our functions is broken, please submit an issue ticket (using a reproducible example) to our issues page. If you have a cool idea for our next new function, also submit an issue ticket. If you are an R developer and want so contribute to this package, please submit an issue ticket or a pull request.
The development of this package was supported by: