R Weekly Highlights

The latest news from rOpenSci, creating ggplot2 postcards with ggirl, and an introduction to process mining in R Episode Links This week's curator: Jon Calder (@jonmcalder) rOpenSci News Digest, April 2021 {ggirl} 1.0.1: An R package that lets you make ggplots in real life Process Mining in 10 minutes with R Entire issue available at rweekly.org/2021-W16 Supplemental Resources rOpenSci Software Peer Review {dataspice} package peer review GH isssue {brochure}: Natively multipage Shiny apps What Process Mining Is, and Why Companies Should Do It {bupaR}: Business process analysis in R

reprex 2.0, using Kubernetes and the future package, and SQL in RMarkdown Episode Links This week's curator: Colin Faye (@_colinFay) reprex 2.0.0 Using Kubernetes and the Future Package to Easily Parallelize R in the Cloud sql-in-rmarkdown Entire issue available at rweekly.org/2021-W15 Supplemental Resources Jenny Bryan's rstudio::conf 2020 keynote materials: Object of type 'closure' is not subsettable High Performance and Parallel Computing CRAN task view Future: Simple Async, Parallel & Distributed Processing in R rstudio::conf 2020 resources tidyquery: Query R data frames with SQL

{workflowsets} with tidy models, exploring other {ggplot2} goems, and top 10 R errors Episode Links This week's curator: Robert Hickman (@robwhickman) workflowsets 0.0.1 Exploring Other ggplot2 Geoms The top 10 R errors, the 7th one will surprise you Entire issue available at rweekly.org/2021-W14 Supplemental Resources Screening many models chapter from Tidy Modeling with R Extending ggplot2 vignette

The Minard System in R, ggplot2 wizardry, a slackbot created with plumber and googleCouldRunner Episode Links This week's curator: Tony Elhabr (@TonyElHabr) "The Minard System" in R A guide to creating a Slackbot that sends weekly updates via plumber, googleCloudRunner and Cloud Run ggplot2 Wizardry: My Favorite Tricks and secrets for Beautiful Plots in R, Cédric Scherer Entire issue available at rweekly.org/2021-W13 Supplemental Resources DataViz History Series: Edward Tufte, Charles Minard, Napoleon and the Russian Campaign of 1812 - Part 2 and Part 5 {ggplot2} Wizardry recorded talk from UseR Oslo meetup (25 March 2021) Introducing googleCouldRunnner - serverless R on Google Could Platform

{gt} tables cookbook, best weather cities, and mapping over many files Episode Links This week's curator: Miles McBain (@MilesMcBain) The GT Cookbook Cities with Best (and Worst) Weather, 2021 edition How to treat as many files as fit on your hard disk without loops (sorta) nor running out of memory all the while being as lazy as possible Supplemental Resources GT Advanced Cookbook R-Podcast episode 27: Get the {gt} Tables! R-Weekly Highlights Episode 24: {blogdown} v1.0, announcing {pagedreport}, and the rOpenSci Community Contributing Guide R-Weekly Highlights episode 5: Guidelines for creating better tables, a controlled vocabulary to name data frame columns, and exploring reactive in Shiny applications Bruno Rodrigues' YouTube Channel

Time series forecasting with torch, automated scraping of stock metrics with GitHub Actions, and default knitr options and hooks. Episode Links This week's curator: Robert Hickman (@robwhickman) Introductory time series forecasting with torch Daily Stock Gainers Automated Web Scraping in R with Github Actions Default knitr options and hooks Supplemental Resources Introducing Torch for R Automating COVID-19 PDF scraping 1littlecoder YouTube channel Shiny Developer Series

Serverless dashboards, learning tidy evaluation by re-implementing dplyr, and bootstrap confidence intervals with tidy modeling Episode Links This week's curator: Kelly Bodwin (@KellyBodwin) Server(shiny)-less dashboards with R, {htmlwidgets} and {crosstalk} Learning tidy eval by re-implementing dplyr Bootstrap Confidence Intervals for Super Bowl Commercials Supplemental Resources Learning Tidy Evaluation by Reimplementing dplyr (Government & Public Sector R Conference) Programming with dplyr vignette

Random effects, GGanimate intro, and updates to dplyr backends Episode Links This week's curator: Ryo Nakagawara (@R_by_Ryo) Random effects and penalized splines are the same thing GGanimating a geographic introduction dplyr backends: multidplyr 0.1.0, dtplyr 1.1.0, dbplyr 2.1.0 Supplemental Resources https://stats.stackexchange.com/questions/55364/mixed-model-in-simple-english https://towardsdatascience.com/how-linear-mixed-model-works-350950a82911 https://twitter.com/tjmahr/status/1365424619344318466

Multi-page Shiny apps, R package citation, and refactoring the squashinformr package Episode Links This week's curator: Eric Nantz (@theRcast) Multi-page {shiny} Applications with {brochure} Make Your R Package Easier to Cite Refactoring {squashinformr}

Installing packages, {distill} for personal websites, and Shiny app stories Episode Links This week's curator: Jonathan Carroll (@carroll_jono) The Comprehensive Guide to Installing R Packages from CRAN, Bioconductor, GitHub and Co. Distill it down Introducing Shiny App Stories Supplemental Resources 20 Years of R Package management basics (Mozilla Developer Network Web Docs) Sharing on Short Notice: How to Get Your Materials Online with R Markdown Building a {distill} website} Shiny Developer Series Episode 1: Shiny Development Past and Future Shiny Developer Series Episode 5: shinysense and custom javascript visualizations