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Details

WHAT TO EXPECT
This workshop will provide a practical introductory overview (with hands-on practice) with R package development.

WHO is this for?

  • If you'd like to highly automate common tasks and share it with other R users
  • If you're interested in contributing your work and making it available on the Comprehensive R Archive Network (CRAN)

TOPICS

  • Learn the structure of R package and its components
  • Build your own R package using RStudio
  • Enhance your R package with well-organized documentation (such as Vignettes, GitHub)

SET-UP
To benefit most from this workshop, please bring your laptop with pre-installed RStudio ([https://www.rstudio.com/products/rstudio/](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.rstudio.com%2Fproducts%2Frstudio%2F&data=05%7C02%7CKEWALIN.SAMART%40CUANSCHUTZ.EDU%7C954ada6fb6964c5d83d308dcd340115c%7C563337caa517421aaae01aa5b414fd7f%7C0%7C0%7C638617519334802918%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=YQHBFzIs2Bjfm3yeR1AF%2B%2BlkJJuOtWN1BCUhTcYVzxQ%3D&reserved=0 "Original URL: https://www.rstudio.com/products/rstudio/. Click or tap if you trust this link.")) and R.

ZOOM LINK
https://ucdenver.zoom.us/j/93885644391?pwd=mFQcWKrnSkWqsOkeJGtJG8K7HfaGW0.1

SPONSOR
The Mitchell Lab at CU Anschutz

Events in Colorado, CO
Data Science
R Project for Statistical Computing
Open Source
Software Development

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