R Weekly Highlights

Previewing the upcoming rstudio::conf, why you should (or shouldn't) build an API client package, and monitoring Shiny application usage with Hotjar. Episode Links This week's curator: Colin Fay (@_colinFay) rstudio::conf(2022) Conference Schedule Why You Should (or Shouldn't) Build an API Client R Shiny Hotjar – How To Monitor User Behavior in R Shiny Apps Entire issue available at rweekly.org/2022-W25

Many improvements to {gt} version 0.6, and creating flow charts effeciently with {ggplot2}. Episode Links This week's curator: Batool Almarzouq (@batool664) Changes (for the better) in {gt} 0.6.0 Creating flowcharts with {ggplot2} Entire issue available at rweekly.org/2022-W24 Supplement Resources The {gtExtras} is now on CRAN: https://themockup.blog/posts/2022-06-13-gtextras-cran New features in {gt} 0.6: https://www.youtube.com/watch?v=F5TV9uWCJps {gt} table battles - Eurovision: https://www.youtube.com/watch?v=tIB_N0nUfNs {gt} table battles - Digital publications: https://www.youtube.com/watch?v=-c_PUee8Cu0 {gt} table battles: Crosswords: https://www.youtube.com/watch?v=sRxdutTgyDE Nicola's tweet of day 29 chart challenge https://twitter.com/nrennie35/status/1519960428167811074 R-Ladies Nairobi: #30DayChartChallenge https://nrennie.rbind.io/talks/2022-may-rladies-nairobi/ R-Ladies Nairobi Meetup YouTube Recording: https://www.youtube.com/watch?v=dY-fW7HqPP0

Creating user interfaces in R with a vintage toolkit, and a candid take on learning R with the right perspectives in mind. Episode Links This week's curator: Sam Parmar (@parmsam_) {tickle}: a package for creating UIs in base R R will always be arcane to those who do not make a serious effort to learn it... Entire issue available at rweekly.org/2022-W23 Supplement Resources More people use Tcl than know about it (2004) https://www.computerweekly.com/feature/More-people-use-Tcl-than-know-about-it The R Tcl/Tk Interface paper by Peter Dalgaard: https://www.r-project.org/conferences/DSC-2001/Proceedings/Dalgaard.pdf Mike FC's tickle annoucement tweet https://twitter.com/coolbutuseless/status/1532593976422805505 Mike FC's take on why tickle? https://twitter.com/coolbutuseless/status/1533685352451301376 R for data science learning community https://www.rfordatasci.com

Annotated screencasts of David Robinson's Tidy Tuesday analyses, and the second edition of Deep Learning with R is on the way. Episode Links This week's curator: Batool Almarzouq (@batool664) RScreencasts.com: A collection of 80+ hours of time-stamped, annotated TidyTuesday screencasts highlighting the R packages and functions used in each section and what the activity is. Screencasts by David Robinson. Annotation by Alex Cookson and Eric Fletcher. Website by Oscar Baruffa. For more detail, read the launch post. Deep Learning with R, 2nd Edition Entire issue available at rweekly.org/2022-W22 Supplement Resources R DiscoRd community: https://discord.gg/FQp6ZNd David Granjon's preview of Outstanding User Interfaces with Shiny: https://twitter.com/divadnojnarg/status/1530710989574111232 Shiny Developer Series Episode 20: Outstanding User Interfaces with David Granjon https://shinydevseries.com/interview/ep020/

Amazing software development resources for data scientists, community-contributed R markdown tips & tricks to save you time, and combining GitHub gists and Carbon screenshots with gistillery. Episode Links This week's curator: Eric Nantz (@theRcast Software Development Resources for Data Scientists R Markdown Tips and Tricks #3: Time-savers & Trouble-shooters gistillery: Take local code, send it to a Github gist, get a beautiful image from Carbon.now.sh, and make it ready to share! Entire issue available at rweekly.org/2022-W21

A preview of R for Data Science (2nd edition) with missing data, creating topography maps, and (yes) playing the drums directly in R. Episode Links This week's curator: Kelly Bodwin (@KellyBodwin) New r4ds chapter: missing values Making a crisp topography map with R {tr808r}: Play the drums with an R package Entire issue available at rweekly.org/2022-W20 Supplement Resources https://en.wikipedia.org/wiki/Roland_TR-808

A dungeon-crawler for your R console, storytelling in ggplot2 with rounded rectangles, and updates to the tidymodels recipes suite of packages. Episode Links This week's curator: Colin Fay (@_colinFay) Simple procedural dungeons in R Storytelling in ggplot using rounded rectangles Updates for recipes extension packages Entire issue available at rweekly.org/2022-W19 Supplement Resources Binder - Turn a Git repo into a collection of interactive notebooks https://mybinder.org R-Podcast Episode 28 - Tidymodels with Max Kuhn https://r-podcast.org/028-max-kuhn

A brand-new tables gallery powered by the R community, noteworthy items from the Appsilon Shiny conference, and R-Markdown is not going anywhere. Episode Links This week's curator: Eric Nantz (@theRcast) RStudio Community Table Gallery shinytest2, Rhino R Shiny framework top news at Appsilon conference With Quarto coming, is R Markdown going away? No. Entire issue available at rweekly.org/2022-W18 Supplement Resources https://community.rstudio.com/t/expected-goals-xg-shot-timeline-for-soccer-football-with-gt/86449 https://community.rstudio.com/t/conditionally-formatted-state-transition-matrices/120336 https://www.rstudio.com/champion R-Podcast episode 24 (Yihui Xie returns) https://r-podcast.org/024-rstudioconf-yihui-xie

Lessons from teaching R to non-programmers, loading a large and messy CSV file with data.table and command-line tools, Bayesian analyses with the brms package, and getting a better understanding of the tidyeval framework. Episode Links This week's curator: Jonathan Carroll (@carroll_jono) 6 Lessons I learned from teaching R to non-programmers Loading a large, messy csv using data.table fread with cli tools Bayesian analyses made easy: GLMMs in R package brms Not so standard evaluations - Getting a better understanding of the tidyeval framework Entire issue available at rweekly.org/2022-W17 Supplement Resources Data science at the command line Learning Bayesian statistics podcast Bayes Rules! An Introduction to Applied Bayesian Modeling

An important change coming to the R-spatial ecosystem, enhancing function error reporting with chaining, and traveling down the monad rabbit hole. Episode Links This week's curator: Tony ElHabr (@TonyElHabr) R-spatial evolution: retirement of rgdal, rgeos and maptools Error chaining Why you should(n't) care about Monads if you're an R programmer Entire issue available at rweekly.org/2022-W16 Supplement Resources Roger Bivand's announcement of the rgdal, rgeos, and maptools packages retirement Geocomputation with R Progress in the R ecosystem for representing and handling spatial data Rweekly Highlights episode 72 Bruno Rodregues' monads YouTube video "Function Factories" Chapter in Advanced R