R Weekly Highlights

R Weekly Highlights

By Eric NantzScience
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R Weekly Highlights episodes

  • Issue 2020-45 Highlights

    About this episode

    Single source publishing, rainbow parentheses, and VisiumExperiment

    Episode Links

    • This week's curator: Robert Hickman (@robwhickman)
    • Single-source publishing for R users
    • RStudio 1.4 Preview: Rainbow Parentheses
    • Using VisiumExperiment at spatialLIBD package
    • Entire issue available at rweekly.org/2020-45
    • Supplement Links

      • https://github.com/maelle/bspagedjs
      • https://bookdown.org/
      • 8 min
      • Issue 2020-44 Highlights

        About this episode

        {emphatic} highlighting, analyzing open political data, and helping data-science learners

        Episode Links

        • This week's curator: Tony Elhabr (@TonyElHabr)
        • {emphatic}: Augments the output of data.frames and matrices in R by adding user-defined ANSI highlighting.
        • A guide to accessing & analyzing open source American political data using R
        • Let’s stop doubly-screwing data science learners
        • Entire issue available at rweekly.org/2020-44
        • Supplement Links

          • {pillar} format columns with colour
          • {crayon} R package for colored terminal output
          • ANSI escape codes
          • Jason Timm's blog
          • The {drake} post
          • The {drake} R package user manual
          • 7 min
          • Issue 2020-43 Highlights

            About this episode

            Rolling averages with {slider}, personal art map, and flood mapping

            Episode Links

            • This week's curator: Miles McBain (@MilesMcBain)
            • Rolling Averages with {slider} and Covid Data
            • Personal Art Map with R
            • Flood mapping and rapid impact assessment in Niamey
            • Entire issue available at rweekly.org/2020-43
            • Supplement Links

              • Melt the Clock: Tidy time series analysis by Earo Wang
              • {slider} - Sliding Window Functions
              • https://inequality.media.mit.edu/
              • {sen2r} - Find, download, and process sentinel-2 data
              • 7 min
              • Issue 2020-42 Highlights

                About this episode

                Climate animation, decomposition and smoothing with R and python, and a Raspberry Pi dashboard

                Episode Links

                • This week's curator: Ryo Nakagawara (@R_by_Ryo)
                • Climate animation of maximum temperatures
                • Decomposition and Smoothing with data.table, reticulate, and spatstat
                • Raspberry Pi E-Paper Dashboard with R
                • Entire issue available at rweekly.org/2020-42
                • 7 min
                • Issue 2020-41 Highlights

                  About this episode

                  Topics in package development, contributing to ROpenSci, and shining a light on learnr

                  Episode Links

                  • This week's curator: Eric Nantz (@theRcast)
                  • Picking and researching blog topics about R package development
                  • Hacktober? Any Month is a Good Month to Contribute to rOpenSci
                  • Shiny Developer Series Episode 14 - Shining a Light on {learnr}
                  • Entire issue available at rweekly.org/2020-41
                  • Supplement Links

                    • R Packages 2nd Edition
                    • R-package-devel mailing list
                    • Writing R Extensions
                    • rOpenSci Community Contributing Guide
                    • Maintaining an R Package - Community Call Summary
                    • Exploring missing values in naniar
                    • sortable widget and learnr demonstration
                    • Creating a New RWeekly Issue: Hands-on Demonstration
                    • 9 min
                    • Issue 2020-40 Highlights

                      About this episode

                      Visual markdown editing, stat layers in ggplot2, and learnr tutorials in a package

                      Episode Links

                      • This week's curator: Jonathan Carroll (@carroll_jono)
                      • RStudio v1.4 Preview: Visual Markdown Editing
                      • How to deliver learnr tutorials in a package
                      • Demystifying stat_ layers in {ggplot2}
                      • Entire issue available at rweekly.org/2020-40
                      • Supplement Links

                        • Visual R Markdown documentation
                        • Introducing learnr
                        • Shiny Developer Series Episode 14 - Shining a Light on learnr
                        • Distill for R Markdown - Creating a Blog
                        • 7 min
                        • Issue 2020-39 Highlights

                          About this episode

                          A calendar right in your R console, accessibility tooling for Shiny, and shinydashboardPlus v2.0

                          Episode Links

                          • This week's curator: Maelle Salmon (@ma_salmon)
                          • A Calendar in Your R Console
                          • accessibility (a11y) tooling for shiny
                          • {shinydashboardPlus 2.0.0}: extensions for shinydashboard

                          • Entire issue available at rweekly.org/2020-39

                          • 7 min
                          • Issue 2020-38 Highlights

                            About this episode

                            Making learning to code friendlier with art, ggforce functions, and debugging in VSCode

                            Episode Links

                            • It's a Bird, It's a Plane ... It's a ggforce function
                            • Making Learning to Code Friendlier with Art — An Interview with Dr. Allison Horst
                            • Introduction to debugging R in VSCode
                            • Entire issue available at rweekly.org/2020-38
                            • This week's curator: Jon Calder @jonmcalder
                            • 7 min
                            • Issue 2020-37 Highlights

                              About this episode

                              Guidelines for creating better tables, a controlled vocabulary to name data frame columns, and exploring reactivity in Shiny applications.

                              Episode Links

                              • 10+ Guidelines for Better Tables in R: Make tables people ACTUALLY want to read.
                              • Column Names as Contracts
                              • Episode 12: Barret Schloerke Part 1 (reactlog)
                              • Entire issue available at rweekly.org/2020-37
                              • 7 min
                              • Issue 2020-36 Highlights

                                About this episode

                                A stunning combination of physics and 3-D visualization, behind the curtain of package installation, and an alternative workflow for error handling in functions.

                                Episode Links

                                • Plinko Statistics: Insights from the Bean Machine
                                • State of R packages in your library
                                • Handling errors using purrr's possibly() and safely()
                                • Entire issue available at rweekly.org/2020-36
                                • The R-Weekly Patreon: www.patreon.com/rweekly
                                • 6 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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