The R-Podcast

The R-Podcast

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R is a free and open-source statistical computing environment. It has quickly become the leading choice of software used to develop cutting-edge statistical algorithms, innovative visualizations, and data processing, among other key features. R has seen tremendous growth in popularity and functionality over the last decade, largely due to the vibrant and devoted R community of users. Whether you have experience with commercial statistical software such as SAS or SPSS and want to learn R, or getting into statistical computing for the first time, the R-Podcast will provide you with valuable information and advice that will help you to tap into the power of R. Our intent is to start with the basic concepts that can be a struggle for those new to R and statistical computing. We will give practical advice on how to take advantage of R’s capabilities to accomplish innovative and robust data analyses. Along the way we will highlight the additional tools and packages that greatly…

Recent Episodes

  • Episode 34: Enriching the Next Generation of R-Core Development

    2 years ago
  • The Podcast Lives Again

    2 years ago
  • Shiny and Javascript Wizardry with Garrick Aiden-Buie

    4 years ago
  • RStudio's Big Move & Kevin Ushey

    4 years ago
  • Data Science education with R

    5 years ago
  • The origins and future of RStudio with Tareef Kawaf

    5 years ago
  • Chicago R Unconference Recap

    5 years ago
  • Tidymodels with Max Kuhn

    5 years ago
  • Get the {gt} Tables!

    5 years ago
  • The Podcast Trifecta (rstudio::conf 2019)

    5 years ago