R Weekly Highlights

Targetopia, extracting JSON data, and ggrepel update Episode Links This week's curator: Ryo Nakagawara ( @R_by_Ryo ) The targetopia: An R package ecosystem for democratized reproducible pipelines at scale Extracting JSON data from websites and public APIs with R {ggrepel} : Automatically Position Non-Overlapping Text Labels with ggplot2. Entire issue available at rweekly.org/2020-51 Supplement...

Underrated tidyverse functions, bullet chart variants, and AWS Lambda with R Episode Links This week's curator: Eric Nantz ( @theRcast ) Underrated Tidyverse Functions Bullet Chart Variants in R R on AWS Lambda with containers Entire issue available at rweekly.org/2020-50

Extended ggplot2 tutorial, static code analysis, and a customized visual CV with ggplot2 Episode Links This week's curator: Jonathan Carroll ( @carroll_jono ) An extended version of "A ggplot2 Tutorial for Beautiful Plotting" A brief introduction to the basics of R's static code analysis Creation of a custom visual CV by ggplot hacking Entire issue available at rweekly.org/2020-4...

About this episode Your first R package, magrittr 2.0, and Engineering Shiny use case Episode Links This week's curator: Maelle Salmon ( @ma_salmon ) Your first R package in 1 hour magrittr 2.0 is here! Use case from "Engineering Production-Grade Shiny Apps" - Building an App, from Start to Finish Entire issue available at rweekly.org/2020-48 Supplement Resources Recording of Shannon...

About this episode Testthat utility belt, NHS-R conference, and application of Bayesian networks to sports injury prediction Episode Links This week's curator: Jon Calder ( @jonmcalder ) NHS-R 2020 Week Long Conference -- so much great content, so little time to catch it all... Helper code and files for your testthat tests Bayesian networks and sports injuries with {bnlearn} Entire issue avail...

About this episode Open-access tools to find conronaviruses, developing inside containers, and error handling Episode Links This week's curator: Colin Faye ( @_colinFay ) Using Open-Access Tools (rentrez, taxize) to Find Coronaviruses, Their Genetic Sequences, and Their Hosts How to develop inside a Docker container to ease collaboration? YAPOEH! (Yet another post on error handling) Entire iss...

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.or...

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 sci...

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 {sli...

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/2...

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...

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 Pa...

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

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

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...

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