We’ve been using R with REDCap’s API since 2012 and have developed
REDCapR. Before encapsulating these functions in a package, we were replicating 50+ lines of code to contact REDCap and robustly transform the returned csv into an R
data.frame; it took twice that much to implement batching. All this can be done in one call to
ds <- redcap_read(redcap_uri=uri, token=token)$data
redcap_read() function also accepts values for subsetting/filtering the records and fields. Here are two examples; the first selects only a portion of the rows, while the second selects only a portion of the columns. Documentation for the additional 20+ functions are found at ouhscbbmc.github.io/REDCapR/reference.
# Return only records with IDs of 1 and 4 desired_records <- c(1, 4) ds_some_rows <- redcap_read( redcap_uri = uri, token = token, records = desired_records )$data # Return only the fields record_id, name_first, and age desired_fields <- c("record_id", "name_first", "age") ds_some_fields <- redcap_read( redcap_uri = uri, token = token, fields = desired_fields )$data
REDCapR package includes the SSL certificate retrieved by
httr::find_cert_bundle(). Your REDCap server's identity is always verified, unless the setting is overridden (alternative certificates can also be provided).
To keep our maintenance efforts manageable, the package implements only the REDCap API functions that have been requested. If there's a feature that would help your projects, please tell us in a new issue in REDCapR's GitHub repository. A troubleshooting document helps diagnose issues with the API.
Installation and Documentation
The release version can be installed from CRAN.
The development version can be installed from GitHub after installing the
install.packages("devtools") # Run this line if the 'devtools' package isn't installed already. devtools::install_github(repo="OuhscBbmc/REDCapR")
Also checkout the other packages that exist for communicating with REDCap, which are listed in the REDCap Tools directory.
We encourage input and collaboration. If you're familiar with GitHub and R packages, feel free to submit a pull request. If you'd like to report a bug or make a suggestion, please create a GitHub issue; issues are a usually a good place to ask public questions too. However, feel free to email Will (firstname.lastname@example.org). Please note that this project is released with a Contributor Code of Conduct; by participating in this project you agree to abide by its terms. We have some starting material described in the
Much of this package has been developed to support the needs of the following projects. We appreciate the support. (So far) the primary developers of REDCapR are the external evaluators for Oklahoma's MIECHV program. See the preliminary CQI reports (many of which use REDCapR) at http://ouhscbbmc.github.io/MReportingPublic/.
- OUHSC CCAN Independent Evaluation of the State of Oklahoma Competitive Maternal, Infant, and Early Childhood Home Visiting (MIECHV) Project. HRSA/ACF D89MC23154. David Bard, PI, OUHSC; 2011-2015.
- Independent Evaluation of the State of OK MIECHV Evidence Based Home Visitation Project, NIH-sponsored collaboration with OSDH. David Bard, PI, OUHSC; 2015-2017.
- OSDH ParentPRO Pilot Evaluation, federally-sponsored collaboration with OSDH. David Bard, PI, OUHSC; 2015-2017.
- Title IV-E Waiver Project, HRSA/MCHB-sponsored collaboration with OKDHS; David Bard, PI, OUHSC; 2014-2017.
- Integrative Analysis of Longitudinal Studies of Aging (IALSA), sponsored by NIH 5P01AG043362. Scott Hofer, PI, University of Victoria; Will Beasley, PI of site-award, OUHSC; 2013-2018.
- Oklahoma Shared Clinical and Translational Resources, sponsored by NIH NIGMS; U54 GM104938. Judith A. James, PI, OUHSC; 2013-2018.
- Additional Institutional Support from OUHSC Dept of Pediatrics; 2013-2017.
Build Status and Package Characteristics
|Ubuntu LTS||Windows Server||Test Coverage|