R Weekly 2022-W21 Software Dev Resources, R Markdown Tips, and gistillery

23 May 2022

• How to have (my) content shared by R Weekly?

This week’s release was curated by Eric Nantz, with help from the R Weekly team members and contributors.

Highlight

• 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!

• Listen to R-Weekly Highlights Episode 79

Insights

• R Markdown Tips and Tricks #3: Time-savers & Trouble-shooters

• Re-creating this year’s Eurovison scoreboard with ggplot2 code

• Introducting r2u with 2 x 19k CRAN binaries for Ubuntu 22.04 and 20.04

R in Academia

• Marginalia: A guide to figuring out what the heck marginal effects, marginal slopes, average marginal effects, marginal effects at the mean, and what all these other maginal things are.

Resources

• Software Development Resources for Data Scientists

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {chromatographR} 0.4.0: Tools for the reproducible analysis of HPLC-DAD/UV data.

• {SoundShape} 1.2.1: Sound Waves Onto Morphometric Data

• {sits} 1.0.0: Satellite Image Time Series Analysis for Earth Observation Data

• {shinybrowser} 1.0.0: Find Out Information About a User’s Web Browser in ‘Shiny’

• {webshot2} 0.1.0: Take Screenshots of Web Pages

• {ggbraid} 0.2.2: Braid Ribbons in ‘ggplot2’

• {designer} 0.1.0: ‘Shiny’ UI Prototype Builder

• {rdataretriever} 3.1.0: R Interface to the Data Retriever

• {chronicler} 0.2.0: Add Logging to Functions

• {mlr3verse} 0.2.5: Easily Install and Load the ‘mlr3’ Package Family

GitHub or Bitbucket

• gistillery: Take local code, send it to a Github gist, get a beautiful image from Carbon.now.sh, and make it ready to share!

• dcflights21: An R package supplying data on out-bound flights from airports serving Washington, DC in 2021

• ggtips: Adds interactive tooltip boxes to ggplots (standalone or rendered in Shiny)

• flyCSV: Check your data frame as CSV on the fly

Updated Packages

• marginaleffects: Compute and plot adjusted predictions, marginal effects, contrasts, and marginal means for a wide variety of models.

• {opencpu} 2.2.8

• {rtables} 0.5.1

• {piggyback} 0.1.3

• {tidywikidatar} 0.5.2

• {ReviewR} 2.3.8

• {r2rtf} 0.3.5

• {mrgsolve} 1.0.4

• {datawizard} 0.4.1

Videos and Podcasts

• TidyX episode 104: R classes and objects (date and POSIXt)

• 4 ways to use colors more efficiently

• Build a codenames app using {pins} and Shiny

• {gt} and {reactable} packages: Beautiful, user-friendly tables in R

• What makes meta-analysis special? A statistics-light exploration with the Switchboard package

• R-Ladies Freiburg (English) - Shiny Data Dashboards: Eurovision

Shiny Apps

• shinybox: Simplified, self-contained, renv-controlled Shiny apps launched with a one liner and some handy admin tools.

• Hierarchical data visualization with Shiny and D3

Tutorials

• Self-documenting {ggplot}s thanks to the power of monads!

• Create machine learning models with R and tidymodels

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Big Data Belfast: May 25th

• Mapping interactively with R Shiny (R-Ladies Brisbane): May 26th

• Fitting distributions in R (NHS workshop): June 8th

• New York R Conference: June 8th-10th

• UseR! (Online): June 20th-23rd

• Rstudio::Conf: July 25th-28th

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

Jobs

• Ecological data scientist (Nature Metrics)

• Data Analyst (IDH Farmfit)

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

TIL: If you're annoyed by your #rstats github repos being marked as HTML because of the documentation that all your R code produces, add a .gitattributes file with the following:

*.html linguist-detectable=false pic.twitter.com/4LpMaXUrdB

— Lisa DeBruine 🏳️‍🌈 (@LisaDeBruine) May 14, 2022

📢 While playing around with {rtweet} and the Twitter API, I have built an #RStats Twitter bot 🎉

🤖 @rstatspkgbot tweets about random R packages on CRAN!

🔗 Have a look at the GitHub repo to see how I made it:https://t.co/UMFUSnKCtW

— Tim Tiefenbach (@TimTeaFan) May 20, 2022