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    RStudio's Big Move & Kevin Ushey

    RStudio's Big Move & Kevin Ushey

    FromThe R-Podcast

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    RStudio's Big Move & Kevin Ushey

    FromThe R-Podcast

    ratings:
    Length:
    49 minutes
    Released:
    Feb 6, 2020
    Format:
    Podcast episode

    Description

    About this Episode
    This is the first of multiple episodes covering the recent rstudio::conf 2020! In this episode, Eric shares his take on the big news made by RStudio and has a great interview with RStudio software engineer Kevin Ushey.
    Links
    RStudio becomes a Public Benefit Corporation: blog.rstudio.com/2020/01/29/rstudio-pbc (https://blog.rstudio.com/2020/01/29/rstudio-pbc)
    RStudio changes structure to focus on public benefit: www.infoworld.com/article/3518390/rstudio-changes-structure-to-focus-on-public-benefit.html (https://www.infoworld.com/article/3518390/rstudio-changes-structure-to-focus-on-public-benefit.html)
    JJ Allaire's keynote slides: rstudio.com/slides/rstudio-pbc/ (https://rstudio.com/slides/rstudio-pbc/)
    A corporate paradign shift - Public Benefit Corporations https://www.gibsondunn.com/a-corporate-paradigm-shift-public-benefit-corporations/ (www.gibsondunn.com/a-corporate-paradigm-shift-public-benefit-corporations)
    renv: Project Environments for R kevinushey-2020-rstudio-conf.netlify.com/slides.html (https://kevinushey-2020-rstudio-conf.netlify.com/slides.html)
    renv GitHub repository: github.com/rstudio/renv (https://github.com/rstudio/renv)
    Emil Hvitfeldt's repository with rstudio::conf links to slides and other materials: github.com/EmilHvitfeldt/RStudioConf2020Slides (https://github.com/EmilHvitfeldt/RStudioConf2020Slides)
    Residual Snippets app: rpodcast.shinyapps.io/rsnippets (https://rpodcast.shinyapps.io/rsnippets)
    Feedback
    Leave a comment on this episode's post (https://r-podcast.org/32)
    Email the show: thercast[at]gmail.com
    Use the R-Podcast contact page (https://r-podcast.org/contact)
    Episode Timestamps

    00:00:00.000 Intro
    00:01:25.000 RStudio PBC
    00:14:50.000 RWeekly Curators Unite!
    00:18:45.000 RStudio's Kevin Ushey
    00:42:26.000 Residual Snippets
    00:47:52.000 Wrapup

    Music Credits
    Opening and closing themes: Training Montage by WillRock (http://ocremix.org/artist/5043/willrock) from the Return All Robots Remix Album (http://ocremix.org/events/returnallrobots/) at ocremix.org (http://ocremix.org/)
    Released:
    Feb 6, 2020
    Format:
    Podcast episode

    Titles in the series (35)

    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 enhance the experience of using R, and highlight resources that can help people become experts with R. While this podcast is not meant to be a series of lectures on statistics, we will use freely and publicly available data sets to illustrate both basic statistical analyses as well as state-of-the-art algorithms to show how powerful and robust R can be for analyzing today’s explosion of data. In addition to the audio podcast, we will also produce screencasts for hands-on demonstrations for those topics that are best explained via video.