R Weekly Highlights

R Weekly Highlights

By Eric NantzScience
Download on the App Store

R Weekly Highlights episodes

  • Issue 2021-W13 Highlights

    The Minard System in R, ggplot2 wizardry, a slackbot created with plumber and googleCouldRunner

    Episode Links

    • This week's curator: Tony Elhabr (@TonyElHabr)
    • "The Minard System" in R
    • A guide to creating a Slackbot that sends weekly updates via plumber, googleCloudRunner and Cloud Run
    • ggplot2 Wizardry: My Favorite Tricks and secrets for Beautiful Plots in R, Cédric Scherer
    • Entire issue available at rweekly.org/2021-W13
    • Supplemental Resources

      • DataViz History Series: Edward Tufte, Charles Minard, Napoleon and the Russian Campaign of 1812 - Part 2 and Part 5
      • {ggplot2} Wizardry recorded talk from UseR Oslo meetup (25 March 2021)
      • Introducing googleCouldRunnner - serverless R on Google Could Platform
      • 11 min
      • Issue 2021-W12 Highlights

        {gt} tables cookbook, best weather cities, and mapping over many files

        Episode Links

        • This week's curator: Miles McBain (@MilesMcBain)
        • The GT Cookbook
        • Cities with Best (and Worst) Weather, 2021 edition
        • How to treat as many files as fit on your hard disk without loops (sorta) nor running out of memory all the while being as lazy as possible
        • Supplemental Resources

          • GT Advanced Cookbook
          • R-Podcast episode 27: Get the {gt} Tables!
          • R-Weekly Highlights Episode 24: {blogdown} v1.0, announcing {pagedreport}, and the rOpenSci Community Contributing Guide
          • R-Weekly Highlights episode 5: Guidelines for creating better tables, a controlled vocabulary to name data frame columns, and exploring reactive in Shiny applications
          • Bruno Rodrigues' YouTube Channel
          • 13 min
          • Issue 2021-W11 Highlights

            Time series forecasting with torch, automated scraping of stock metrics with GitHub Actions, and default knitr options and hooks.

            Episode Links

            • This week's curator: Robert Hickman (@robwhickman)
            • Introductory time series forecasting with torch
            • Daily Stock Gainers Automated Web Scraping in R with Github Actions
            • Default knitr options and hooks
            • Supplemental Resources

              • Introducing Torch for R
              • Automating COVID-19 PDF scraping
              • 1littlecoder YouTube channel
              • Shiny Developer Series
              • 12 min
              • Issue 2021-W10 Highlights

                Serverless dashboards, learning tidy evaluation by re-implementing dplyr, and bootstrap confidence intervals with tidy modeling

                Episode Links

                • This week's curator: Kelly Bodwin (@KellyBodwin)
                • Server(shiny)-less dashboards with R, {htmlwidgets} and {crosstalk}
                • Learning tidy eval by re-implementing dplyr
                • Bootstrap Confidence Intervals for Super Bowl Commercials
                • Supplemental Resources

                  • Learning Tidy Evaluation by Reimplementing dplyr (Government & Public Sector R Conference)
                  • Programming with dplyr vignette
                  • 11 min
                  • Issue 2021-W09 Highlights

                    Random effects, GGanimate intro, and updates to dplyr backends

                    Episode Links

                    • This week's curator: Ryo Nakagawara (@R_by_Ryo)
                    • Random effects and penalized splines are the same thing
                    • GGanimating a geographic introduction
                    • dplyr backends: multidplyr 0.1.0, dtplyr 1.1.0, dbplyr 2.1.0
                    • Supplemental Resources

                      https://stats.stackexchange.com/questions/55364/mixed-model-in-simple-english

                      https://towardsdatascience.com/how-linear-mixed-model-works-350950a82911
                      https://twitter.com/tjmahr/status/1365424619344318466

                      11 min
                    • Issue 2021-W08 Highlights

                      Multi-page Shiny apps, R package citation, and refactoring the squashinformr package

                      Episode Links

                      • This week's curator: Eric Nantz (@theRcast)
                      • Multi-page {shiny} Applications with {brochure}
                      • Make Your R Package Easier to Cite
                      • Refactoring {squashinformr}
                      • 13 min
                      • Issue 2021-W07 Highlights

                        Installing packages, {distill} for personal websites, and Shiny app stories

                        Episode Links

                        • This week's curator: Jonathan Carroll (@carroll_jono)
                        • The Comprehensive Guide to Installing R Packages from CRAN, Bioconductor, GitHub and Co.
                        • Distill it down
                        • Introducing Shiny App Stories
                        • Supplemental Resources

                          • 20 Years of R
                          • Package management basics (Mozilla Developer Network Web Docs)
                          • Sharing on Short Notice: How to Get Your Materials Online with R Markdown
                          • Building a {distill} website}
                          • Shiny Developer Series Episode 1: Shiny Development Past and Future
                          • Shiny Developer Series Episode 5: shinysense and custom javascript visualizations
                          • 10 min
                          • Issue 2021-W06 Highlights

                            Episode Links

                            • This week's curator: Tony Elhabr (@TonyElHabr)
                            • Shiny 1.6: Theming, Caching, Accessibility
                            • Remote Pair Programming in R Using Visual Studio Code and Live Share
                            • Lists are my secret weapon for reporting stats with knitr
                            • Supplemental Resources

                              • Custom theming in Shiny & R Markdown with {bslib} & {thematic} (rstudio::global 2021)
                              • Making Shiny apps faster with caching (rstudio::global 2021)
                              • 11 min
                              • Issue 2021-W05 Highlights

                                rstudio::global 2021 and UseR! 2021 call for abstracts

                                Episode Links

                                • This week's curator: Jon Calder (@jonmcalder)
                                • rstudio::global 2021 talks
                                • rstudio::global(2021) %>% summarise()
                                • 15th Mar: useR2021 Call for Abstracts
                                • Supplemental Resources

                                  • Lifelong Learning with R Weekly (rstudio::global 2021)
                                  • Your Public Garden - rstudio::global(2021) Keynote by Vicki Boykis
                                  • 14 min
                                  • Issue 2021-W04 Highlights

                                    {blogdown} v1.0, announcing {pagedreport}, and the rOpenSci Community Contributing Guide

                                    Episode Links

                                    • This week's curator: Colin Faye (@_colinFay)
                                    • Announcing blogdown v1.0
                                    • Announcing pagedreport
                                    • Introducing the rOpenSci Community Contributing Guide
                                    • Supplemental Resources

                                      • Up & running with blogdown in 2021
                                      • Yihui's perspective on early development of {blogdown} from episode 24 of The R-Podcast
                                      • The new and improved R-Podcast site
                                      • {pagedown}: Creating beautiful PDFs with R Markdown and CSS (rstudio::conf 2019)
                                      • {pagedreport} gallery
                                      • 10 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.

                                      More shows like R Weekly Highlights

                                      The Test Set by Posit by Posit, PBC

                                      The Test Set by Posit

                                      25 Listeners