Eric Nantz
R Weekly Highlights
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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Episodes
Issue 2020-40 Highlights 05.10.2020 6:52
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...
Issue 2020-39 Highlights 28.09.2020 6:29
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
Issue 2020-38 Highlights 21.09.2020 6:15
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
Issue 2020-37 Highlights 14.09.2020 6:28
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
Issue 2020-36 Highlights 07.09.2020 5:59
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 Pa...
Issue 2020-35 Highlights 31.08.2020 4:30
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
Issue 2020-34 Highlights 24.08.2020 6:02
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
Issue 2020-33 Highlights 17.08.2020 4:17
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...
Introduction 13.08.2020 3:47
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
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