R Weekly Highlights

R Weekly Highlights

By Eric NantzScience
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R Weekly Highlights episodes

  • Issue 2021-W23 Highlights

    Reusing knitr chunk options, the combo of VS-Code and R in 2021, and say hello to gggrid

    Episode Links

    • This week's curator: Miles McBain (@MilesMcBain)
    • Reusing Code Chunks and Chunk Options with knitr
    • R in 2021 with VSCode
    • 'gggrid' it's g-g-great! Accessing 'grid' from 'ggplot2'
    • Entire issue available at rweekly.org/2021-W23
    • 12 min
    • Issue 2021-W22 Highlights

      Extracting and analyzing Apple health data, and the top 40 CRAN packages for April

      Episode Links

      • This week's curator: Wolfram Qin
      • Changes in Apple Health Export
      • April 2021: "Top 40" New CRAN Packages
      • Entire issue available at rweekly.org/2021-W22
      • Supplemental Resources

        https://www.healthcareitnews.com/news/timeline-how-apple-piecing-together-its-secret-healthcare-plan

        https://github.com/d-score/childdevdata
        https://github.com/forestry-labs/Rforestry
        https://github.com/tsuda16k/materialmodifier

        9 min
      • Issue 2021-W21 Highlights

        The big new features in R 4.1.0, what makes a great function example, and evolution of a ggplot

        Episode Links

        • This week's curator: Kelly Bodwin (@KellyBodwin)
        • New features in R 4.1.0
        • Package documentation: What makes a good example?
        • Evolution of a ggplot
        • Entire issue available at rweekly.org/2021-W21
        • Supplemental Resources

          • Full R 4.1.0 changelog
          • Winston Chang's R read-only GitHub Repo mirror of the SVN R code repository for version 4.1.0
          • 16 min
          • Issue 2021-W20 Highlights

            A tidymodels approach to the Introduction to Statistical Learning learning labs, exploring class imbalance on the TidyX video series, and encrypting and hosting a R Markdown report.

            Episode Links

            • This week's curator: Ryo Nakagawara (@R_by_Ryo)
            • ISLR: tidymodels labs: This book aims to be a complement to the 1st version An Introduction to Statistical Learning book with translations of the labs into using the tidymodels set of packages.
            • TidyX Episode 59: MLB Pitch Classification - Class Imbalance and Model Evaluation
            • Encrypt and host a knitted R Markdown file
            • Entire issue available at rweekly.org/2021-W20
            • Supplemental Resources

              • An Introduction to Statistical Learning and The Elements of Statistical Learning official sites with links to download each.
              • TidyX MLB Pitch Classification playlist
              • My appearance on TidyX episode 32
              • {encryptedRmd}: Password protected markdown HTML reports in R using libsodium
              • libsodium encryption library
              • 12 min
              • Issue 2021-W19 Highlights

                Using the trifecta of map, walk, and pivot for data processing, obtaining quotes from the Friends characters in R, and putting the spolight on Shiny user interfaces in the Shiny Dev Series.

                Episode Links

                • This week's curator: Hey, it's me, Eric! (@theRcast)
                • Map, Walk, Pivot
                • Introducing {centralperk}: Get quotes from the main characters of the TV show 'Friends'
                • Shiny Developer Series Episode 20: Outstanding User Interfaces with David Granjon
                • Entire issue available at rweekly.org/2021-W19
                • 11 min
                • Issue 2021-W18 Highlights

                  A call to action for testing R 4.1, a practical guide to unit tests, and a tutorial on creating pizza charts with football data

                  Episode Links

                  • This week's curator: Jonathan Carroll (@carroll_jono)
                  • R Can Use Your Help: Testing R Before Release
                  • Writing unit tests in R
                  • Soccer Percentile Radars/Pizza's Tutorial
                  • Entire issue available at rweekly.org/2021-W18
                  • 9 min
                  • Issue 2021-W17 Highlights

                    Exploring wikidata with the {tidywikidatar} package, accessibility improvements in {knitr}, and the top 40 new CRAN packages for March.

                    Episode Links

                    • This week's curator: Batool Almazrouq (@batool664)
                    • What does Wikidata know about members of the European Parliament?
                    • New in knitr: Improved accessibility with image alt text
                    • March 2021: "Top 40" New CRAN Packages
                    • Entire issue available at rweekly.org/2021-W17
                    • Supplemental Resources

                      https://news.yahoo.com/wikipedia-turns-20-aims-reach-035212015.html

                      https://github.com/yihui/knitr/releases/tag/v1.32
                      https://cran.r-project.org/web/packages/pkglite/index.html
                      https://flujoo.github.io/gm/

                      13 min
                    • Issue 2021-W16 Highlights

                      The latest news from rOpenSci, creating ggplot2 postcards with ggirl, and an introduction to process mining in R

                      Episode Links

                      • This week's curator: Jon Calder (@jonmcalder)
                      • rOpenSci News Digest, April 2021
                      • {ggirl} 1.0.1: An R package that lets you make ggplots in real life
                      • Process Mining in 10 minutes with R
                      • Entire issue available at rweekly.org/2021-W16
                      • Supplemental Resources

                        • rOpenSci Software Peer Review
                        • {dataspice} package peer review GH isssue
                        • {brochure}: Natively multipage Shiny apps
                        • What Process Mining Is, and Why Companies Should Do It
                        • {bupaR}: Business process analysis in R
                        • 11 min
                        • Issue 2021-W15 Highlights

                          reprex 2.0, using Kubernetes and the future package, and SQL in RMarkdown

                          Episode Links

                          • This week's curator: Colin Faye (@_colinFay)
                          • reprex 2.0.0
                          • Using Kubernetes and the Future Package to Easily Parallelize R in the Cloud
                          • sql-in-rmarkdown
                          • Entire issue available at rweekly.org/2021-W15
                          • Supplemental Resources

                            • Jenny Bryan's rstudio::conf 2020 keynote materials: Object of type 'closure' is not subsettable
                            • High Performance and Parallel Computing CRAN task view
                            • Future: Simple Async, Parallel & Distributed Processing in R rstudio::conf 2020 resources
                            • tidyquery: Query R data frames with SQL
                            • 14 min
                            • Issue 2021-W14 Highlights

                              {workflowsets} with tidy models, exploring other {ggplot2} goems, and top 10 R errors

                              Episode Links

                              • This week's curator: Robert Hickman (@robwhickman)
                              • workflowsets 0.0.1
                              • Exploring Other ggplot2 Geoms
                              • The top 10 R errors, the 7th one will surprise you
                              • Entire issue available at rweekly.org/2021-W14
                              • Supplemental Resources

                                • Screening many models chapter from Tidy Modeling with R
                                • Extending ggplot2 vignette
                                • 10 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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