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Please edit that file --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n\n# REDCapTidieR \u003ca href=\"https://chop-cgtinformatics.github.io/REDCapTidieR/\"\u003e\u003cimg src=\"man/figures/logo.png\" align=\"right\" height=\"138\" /\u003e\u003c/a\u003e\n\n\u003c!-- badges: start --\u003e\n[![Lifecycle: stable](https://img.shields.io/badge/lifecycle-stable-greeen.svg)](https://lifecycle.r-lib.org/articles/stages.html#stable)\n [![R-CMD-check](https://github.com/CHOP-CGTInformatics/REDCapTidieR/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/CHOP-CGTInformatics/REDCapTidieR/actions/workflows/R-CMD-check.yaml)\n[![CRAN status](https://www.r-pkg.org/badges/version/REDCapTidieR)](https://CRAN.R-project.org/package=REDCapTidieR)\n[![](https://cranlogs.r-pkg.org/badges/REDCapTidieR)](https://cran.r-project.org/package=REDCapTidieR)\n[![](https://cranlogs.r-pkg.org/badges/grand-total/REDCapTidieR)](https://cran.r-project.org/package=REDCapTidieR)\n[![Codecov test coverage](https://codecov.io/gh/CHOP-CGTInformatics/REDCapTidieR/branch/main/graph/badge.svg)](https://app.codecov.io/gh/CHOP-CGTInformatics/REDCapTidieR?branch=main)\n[![OpenSSF Best Practices](https://bestpractices.coreinfrastructure.org/projects/6845/badge)](https://bestpractices.coreinfrastructure.org/projects/6845)\n\u003c!-- badges: end --\u003e\n\nThe REDCapTidieR package provides an elegant way to [import](https://chop-cgtinformatics.github.io/REDCapTidieR/articles/glossary.html#import) data from a [REDCap](https://projectredcap.org/) [project](https://chop-cgtinformatics.github.io/REDCapTidieR/articles/glossary.html#project) into an R environment. It builds upon the [REDCapR](https://ouhscbbmc.github.io/REDCapR/) package to query the [REDCap API](https://chop-cgtinformatics.github.io/REDCapTidieR/articles/glossary.html#redcap-api) and then transforms the returned data into a set of [tidy](https://chop-cgtinformatics.github.io/REDCapTidieR/articles/glossary.html#tidy) [tibbles](https://chop-cgtinformatics.github.io/REDCapTidieR/articles/glossary.html#tibble).\n\nREDCapTidieR is especially useful for dealing with complex REDCap projects that are [longitudinal](https://chop-cgtinformatics.github.io/REDCapTidieR/articles/glossary.html#longitudinal-project) or include [repeating](https://chop-cgtinformatics.github.io/REDCapTidieR/articles/glossary.html#repeating) [instruments](https://chop-cgtinformatics.github.io/REDCapTidieR/articles/glossary.html#instrument) or both.\n\n## Installation\n\nThe release version can be installed from [CRAN](https://cran.r-project.org/package=REDCapTidieR).\n\n```r\ninstall.packages(\"REDCapTidieR\")\n```\n\nYou can install the development version of REDCapTidieR from [GitHub](https://github.com/CHOP-CGTInformatics/REDCapTidieR):\n\n```r\ndevtools::install_github(\"CHOP-CGTInformatics/REDCapTidieR\")\n```\n\n## Usage\n\nUse `read_redcap()` together with `bind_tibbles()` to import data from all instruments into your environment.\n\n![Demonstration of using the `read_redcap()` and `bind_tibbles()` functions](man/figures/redcaptidier-demo.gif)\n\nREDCapTidieR supports labelled data using the [labelled](https://larmarange.github.io/labelled/) package, and it can generate statistical summaries using the [skimr](https://docs.ropensci.org/skimr/) package. \n\nRead the [Getting Started vignette](https://chop-cgtinformatics.github.io/REDCapTidieR/articles/REDCapTidieR.html) to learn more.\n\nIn addition, you can easily create collaborator-friendly Excel files using the `write_redcap_xlsx()` function:\n\n```{r, eval=FALSE}\nredcap_uri \u003c- \"https://my.institution.edu/redcap/api/\"\ntoken \u003c- \"123456789ABCDEF123456789ABCDEF04\"\n\nmy_redcap_data \u003c- read_redcap(redcap_uri, token)\nwrite_redcap_xlsx(my_redcap_data, file = \"my_redcap_data.xlsx\")\n```\n\n![Sample REDCapTidieR .xlsx output using `write_redcap_xlsx()`](man/figures/write_xlsx_default.png)\n\nTo learn more about how to work with and customize the output, read the [Exporting to Excel vignette](https://chop-cgtinformatics.github.io/REDCapTidieR/articles/export_to_xlsx.html).\n\n## Collaboration\n\nWe invite you to give feedback and collaborate with us! If you are familiar with GitHub and R packages, please feel free to submit a [pull request](https://github.com/CHOP-CGTInformatics/REDCapTidieR/pulls). Please do let us know if REDCapTidieR fails for whatever reason with your database and submit a bug report by creating a GitHub [issue](https://github.com/CHOP-CGTInformatics/REDCapTidieR/issues).\n\nPlease note that this project is released with a [Contributor Code of Conduct](https://github.com/CHOP-CGTInformatics/REDCapTidieR/blob/main/CONDUCT.md). By participating you agree to abide by its terms.\n\nWe'd like to thank the following folks for their advice and code contributions: [Will Beasley](https://github.com/wibeasley) and [Paul Wildenhain](https://github.com/pwildenhain).\n\n## Funding\n\nThis package was developed by the [Children's Hospital of Philadelphia](https://www.chop.edu) Cell and Gene Therapy Informatics Team to support the needs of the [Cellular Therapy and Transplant Section](https://www.chop.edu/centers-programs/cellular-therapy-and-transplant-section). The development was funded using the following sources:\n\n-   *Stephan Kadauke Start-up funds.* Stephan Kadauke, PI, CHOP, 2018-2024\n\n-   *CHOP-based GMP cell manufacturing (MFG) for CAR T clinical trials*. Stephan Grupp, PI; Stephan Kadauke, co-PI, CHOP, 2021-2023\n \n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchop-cgtinformatics%2Fredcaptidier","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchop-cgtinformatics%2Fredcaptidier","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchop-cgtinformatics%2Fredcaptidier/lists"}