David Keyes
In this episode, Travis Gerke and Garrick Aden-Buie join me to demystify the process behind developing custom packages in R. Travis is the Director of Data Science at The Prostate Cancer Clinical Trials Consortium (PCCTC), and Garrick is a Data Science Educator and R developer at R Studio.
During the discussion, Travis and Garrick highlight the numerous benefits of having a custom package, including making it easier to access data, automation & documentation of functions, and enhanced learning opportunities for R users seeking to upskill. They also delve into their own experiences working together at Moffitt Cancer Center, discussing how their set of custom R packages helped alleviate data reporting pain points within the organization.
Listen to the Audio Version
Watch the Video Version
You can also watch the conversation on YouTube. The video version has a walkthrough of how to make a custom R package.
Learn more about Garrick and his work at garrickadenbuie.com and connect with him on Twitter (@grrrck).
Connect with Travis on Twitter (@travisgerke) and LinkedIn.
In my book R Without Statistics, I have a draft chapter on how to bundle your functions together in your own R package. You can check it out here.
Other resources: R Packages by Hadley Wickham and Jenny Bryan.
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