R Weekly Highlights

R Weekly Highlights

By Eric NantzScience
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R Weekly Highlights episodes

  • Issue 2020-35 Highlights

    About this episode

    A substantial update to the magrittr package coming soon, creating visualizations in D3 from an R user's perspective, and a big book of R.

    Episode Links

    • magrittr 2.0 is coming soon
    • D3 to R to D3
    • Big Book of R
    • Entire issue available at rweekly.org/2020-35
    • Details on how to submit resources and becoming an editor on the RWeekly team: github.com/rweekly/rweekly.org
      • 5 min
    • Issue 2020-34 Highlights

      About this episode

      Choosing an operating system for R users, examining regression techniques, and inside the development of dittodb / generating data from truncated distributions

      Episode Links

      • Best OS for R users
      • Lines of best fit
      • Generating data from a truncated distribution
      • Entire issue available at rweekly.org/2020-34
      • Creating a new RWeekly issue demonstration: youtu.be/tnclyMsy638
        • 7 min
      • Issue 2020-33 Highlights
        About this episode

        Exploring comic book creation with the tidyverse and ggplot2, and updates to the showtext and shinycssloader packages on CRAN.

        Episode Links
        • A visualization exploring types of comic transitions as described in Scott McCloud's "Understanding Comics".
        • {showtext} 0.9: Using Fonts More Easily in R Graphs
        • {shinycssloaders} v1.0: You can now use your own image, plus 3 years' worth of new features!
        • Entire issue available at rweekly.org/2020-33
          • 5 min
        • Introduction

          In this introduction episode, Eric Nantz shares an introduction to the RWeekly community project as well as the movitation for creating this brand new RWeekly Highlights podcast!

          Episode Links
          • rweekly.org
          • github.com/rweekly/rweekly.org
            • 4 min

          About R Weekly Highlights

          From the publisher's feed

          The R Weekly podcast offers a quick description of the latest highlighted stories and other stories from the latest R Weekly issue, as curated by the R Weekly team and R community.

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