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R Weekly Highlights
By Eric NantzScience
R Weekly Highlights episodes
- Issue 2022-W25 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
26 min - Issue 2022-W24 Highlights
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
23 min - Issue 2022-W23 Highlights
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
31 min - Issue 2022-W22 Highlights
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/
22 min - Issue 2022-W21 Highlights
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
36 min - Issue 2022-W20 Highlights
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
29 min - Issue 2022-W19 Highlights
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
27 min - Issue 2022-W18 Highlights
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
31 min - Issue 2022-W17 Highlights
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
33 min - Issue 2022-W16 Highlights
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
30 min
About R Weekly Highlights
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The R Weekly podcast offers a quick description of the latest highlighted stories and other stories from the latest R Weekly issue, as curated by the R Weekly team and R community.
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