R Weekly Highlights

R Markdown family updates & table contest results Episode Links This week's curator: Wolfram King Winners of the 2020 RStudio Table Contest Latest News from the R Markdown Family Supplemental Resources Editable DataTables in R Shiny using SQL

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 resources {targets} statement of need {stantargets} {ggrepel} 0.9.0 changelog

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/2020-49

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's workshop on YouTube: youtu.be/xcXzaEmZ-m4

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 available at rweekly.org/2020-47 Supplement Resources https://nhsrcommunity.com/blog/nhs-meets-r/

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 issue available at rweekly.org/2020-46

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