R Weekly Highlights

R Weekly Highlights

By Eric NantzScience
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R Weekly Highlights episodes

  • Issue 2021-W33 Highlights

    The new {flow} package for visualization R code, and producing donut charts of COVID-19 cases using R.

    Episode Links

    • This week's curator: Wolfram Qin (@R_by_Ryo)
    • {flow} 0.0.2: View and Browse Code Using Flow Diagrams.
    • Some Covid Donuts To End The Week
    • Entire issue available at rweekly.org/2021-W33
    • Supplement resources:

      • {boomer} - Debugging tools to inspect the intermediate steps of a call
      • 10 min
      • Issue 2021-W32 Highlights

        Creating mobile-friendly Shiny apps, {gitlabr} 2.0.0, and achieving reproducible workflows with R and Docker

        Episode Links

        • This week's curator: Ryo Nakagawara (@R_by_Ryo)
        • Making Shiny apps mobile friendly
        • {gitlabr} 2.0.0: Access to the 'Gitlab' API.
        • How to setup a reproducible workflow in R and Docker
        • Entire issue available at rweekly.org/2021-W32
        • Supplement resources:

          • Jesse Mostipak's Twitter thread: Stumbling blocks encountered with learning Shiny
          • Jacqueline Nolis: I made an entier e-commerce platform on Shiny https://youtu.be/tTgRhJ6lb4w
          • https://www.rocker-project.org
          • My R development template repository: https://github.com/rpodcast/r_dev_projects
          • 18 min
          • Issue 2021-W31 Highlights

            Up and running with officedown, testing with a reprex to solve your problems, and a tidy take on performing hypothesis testing with statsExpressions.

            Episode Links

            • This week's curator: Kelly Bodwin (@KellyBodwin)
            • Up and running with Officedown
            • Reminder to test with a reprex to help yourself solve your problems (or get help!)
            • {statsExpressions} 1.2.0: Add statistical detail to data frames and plots
            • Entire issue available at rweekly.org/2021-W31
            • Supplement resources:

              • Friction Logs: The Key to Unlocking Product Growth
              • MS-OOXML: A pseudo-standard that pretends to be open
              • The officer package: Making PowerPoint slides from R (my presentation from the Advanced R Markdown Workshop)
              • 16 min
              • Issue 2021-W30 Highlights

                Top 3 coding best practices from the Shiny contest, improvements in Target Markdown for {targets} 0.6.0, and the new {facetious} package for alternative facets with {ggplot2}

                Episode Links

                • This week's curator: Eric Nantz (@theRcast)
                • Top 3 Coding Best Practices from the Shiny Contest
                • {targets} 0.6.0: Dynamic Function-Oriented 'Make'-Like Declarative Workflows
                • Introducing {facetious} - alternate facets for ggplot2
                • Entire issue available at rweekly.org/2021-W30
                • Supplement resources:

                  • Recording of my issue curation livestream!
                  • Effective communication between Shiny modules
                  • {targets} 0.6.0 NEWS
                  • Chapter 3 - Target Markdown
                  • Target Markdown template format
                  • {targets} resources from upcoming R in Medicine workshop
                  • 20 min
                  • Issue 2021-W29 Highlights

                    How to become a better R code detective, a practical introduction to custom fonts, and making error messages your own.

                    Episode Links

                    • This week's curator: Jonathan Carroll (@carroll_jono)
                    • How to become a better R code detective?
                    • Setting up and debugging custom fonts: a practical introduction to the all (new) things font in R
                    • Make error messages your own
                    • Entire issue available at rweekly.org/2021-W29
                    • 13 min
                    • Issue 2021-W28 Highlights

                      Creating a package directly from R-Markdown with {fusen}, and a new milestone release of the {googledrive} package

                      Episode Links

                      • This week's curator: Batool Almarzouq (@batool664)
                      • {fusen} 0.2.2: Build a Package from R Markdown File
                      • googledrive 2.0.0
                      • Entire issue available at rweekly.org/2021-W28
                      • Supplement Resources

                        • How to build a package following Rmd Driven Development GitHub Repository
                        • Batool's presentation from UseR! 2021: Make Your Computational Analysis Citable
                        • 10 min
                        • Issue 2021-W27 Highlights

                          Practical tips on starting new R projects, and improving a visualization of US streaming market share.

                          Episode Links

                          • This week's curator: Jon Calder (@jonmcalder)
                          • Draw me a project
                          • Improving a Visualization
                          • Entire issue available at rweekly.org/2021-W27
                          • 13 min
                          • Issue 2021-W26 Highlights

                            Creating your own CRAN-like repository with R-universe, results the third annual Shiny contest, and insights on why to use Shiny.

                            Episode Links

                            • This week's curator: Colin Faye (@_colinFay)
                            • How to create your personal CRAN-like repository on R-universe
                            • Winners of the 3rd annual Shiny Contest
                            • Why Shiny? Insights from a Shiny Developer
                            • Entire issue available at rweekly.org/2021-W26
                            • Supplement Resources

                              https://ropensci.org/blog/2021/03/04/r-universe-buildsystem/

                              https://ropensci.org/commcalls/may2021-r-universe/

                              12 min
                            • Issue 2021-W25 Highlights

                              Projecting and tracking COVID-19 infection rates in England with R, leveraging Wikidata to tag scientific abstracts, and a new deep-learning workflow with the luz package

                              Episode Links

                              • This week's curator: Robert Hickman (@robwhickman)
                              • Tracking SARS-CoV-2 In England with {epidemia}
                              • Tagging the Scientific Abstracts with Wikidata Items
                              • Que haja luz: More light for torch!
                              • Entire issue available at rweekly.org/2021-W25
                              • Supplemental Resources

                                • {epidemia} package documentation
                                • A COVID-19 Model for Local Authorities of the United Kingdom
                                • How epidemiology has shaped the COVID pandemic
                                • 13 min
                                • Issue 2021-W24 Highlights

                                  Using Animal Crossing data with the Google Vision API and machine learning, the latest Shiny developer series with Nick Strayer, and ensuring robust database transactions in Shiny

                                  Episode Links

                                  • This week's curator: Tony Elhabr ([@TonyElHabr]
                                  • Everybody Loves Raymond: Running Animal Crossing Villagers through the Google Vision API
                                  • Shiny Developer Series Episode 21: RStudio software engineer Nick Strayer returns to share how he arrived to RStudio and motivations behind the new Shiny App Stories.
                                  • Shiny in Production: Database Transactions
                                  • Entire issue available at rweekly.org/2021-W24
                                  • 14 min

                                  About R Weekly Highlights

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                                  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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