An open-source R package that flags implausible values in longitudinal pediatric and adult weight, height, and head circumference data.

We are excited to announce the release of growthcleanr 3.0.0.

growthcleanr 3.0.0 is now available on GitHub and is in the process of being released on CRAN, which we expect to happen soon. Until then, install.packages("growthcleanr") in R will install the older version, 2.2.3. To install 3.0.0 now:

install.packages("remotes")
remotes::install_github("growth-data-tools/growthcleanr",
                        build_vignettes = TRUE, dependencies = TRUE)

What does growthcleanr do?

• Infographic and fact sheet (PDF)
• Researcher overview (PDF)

How to use

Install. From CRAN, in R: install.packages("growthcleanr").

Source code is on GitHub.

Basics

• Start here
• Shiny app (graphical interface) how-to guide
• R interface how-to guide
• Researcher overview (PDF)

More info

• Example R scripts
• Returning users: what’s new
• Tips for making the input CSV
• Cleaning large datasets
• Command-line driver

Cite

Citing growthcleanr helps us to track how it is used to guide further development and obtain further support.

Carrie Daymont, Michelle E Ross, A Russell Localio, Alexander G Fiks, Richard C Wasserman, Robert W Grundmeier, Automated identification of implausible values in growth data from pediatric electronic health records, Journal of the American Medical Informatics Association, Volume 24, Issue 6, November 2017, Pages 1080–1087, https://doi.org/10.1093/jamia/ocx037

Documentation

Full technical documentation is in the Articles and Reference menus above: the child and adult algorithms, configuration and output, z-scores and methods, utilities and testing, and the complete function reference.

About the project

Funding and contributors. People and organizations who have contributed to and supported growthcleanr.

Source and license. Open source under the MIT License. Browse or fork it on GitHub.

Related package. cdcanthro calculates WHO and CDC z-scores and is commonly used alongside growthcleanr.

Contact

Contact through GitHub or email: cdaymont@pennstatehealth.psu.edu.

Report a bug. Provide as much detail as possible: the version and interface (app, R, or command-line), the code you used, the exact error message, the structure of your dataset, and if possible, a sample dataset without private data.

Suggest a feature. We will continue improving growthcleanr as resources allow. Suggest new features or identify new issues you would like growthcleanr to address.

Collaborate. Email if you are interested in collaborating to evaluate or improve growthcleanr.