R Weekly 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/

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

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

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

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

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

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

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

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

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