R Weekly 2021-W50

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Hello and welcome to this new issue!

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

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

Highlight

• 6 simple Shiny things I have learned from creating a somewhat small app

• 9 new books added to Big Book of R - In this release there’s 9 new books which covers the widest range of topics of any release to date.

Insights

• Making accessible presentations at useR! 2021: the story behind the scenes

• Generating Pretty Instagram Quote Images in R

• Top 21 #RStats tweets of 2021

• Interactive Replication Projects? Yes, please!

• The 34th post in the rambunctiously refreshing R recitations

• Rules of thumb for the design of ecological experiments

• Re-licensing packages: a retrospective

• Upcoming Changes in R 4.2 on Windows

R in the Real World

• The rise of R in public health research institutes

• The COVID19 package, an interface to the COVID-19 Data Hub

• A 2nd look at vaccination breakthroughs in Switzerland

R in Organizations

• Successful R-based Test Package Submitted to FDA

• Need to Code a Difficult Pharma Stats Table? The R Tables for Regulatory Submissions (RTRS) Working Group Wants to Know

Resources

• NHH ECS530 2021 course: Spatial data analysis (with R)

• 9 new books added to Big Book of R - In this release there’s 9 new books which covers the widest range of topics of any release to date.

New Packages

???? Go Live for More New Pkgs ????

CRAN

• {jagstargets} 1.0.1: Targets for JAGS Workflows

• {recolorize} 0.1.0: Color-Based Image Segmentation

• {fledge} 0.1.0: Smoother Change Tracking and Versioning for R Packages

• {imageseg} 0.4.0: Deep Learning Models for Image Segmentation

• {qlcal} 0.0.1: calendaring subset of QuantLib

GitHub or Bitbucket

• {MetBrewer} 0.1.0

Updated Packages

• {ichimoku} 1.2.5: Visualization and Tools for Ichimoku Kinko Hyo Strategies

• Rblpapi 0.3.12: Fixes and Updates

• tidyCpp 0.0.6 on CRAN: Package Maintenance

• dtplyr 1.2.0

Videos and Podcasts

• R, an Ecosystem Where Pythonistas Can Thrive by Data Umbrella

• Building R Packages at Work: R-Ladies Philly December 2021

• useR! 2021 Interview with the Accessibility Mention winners

• Tidymodels in TidyX Episode 86 - Julia Silge and Tune Racing

• R Consortium All Member Meeting - 2021

• Introduction to Machine Learning and Image Processing with R by NHS-R

• R-Ladies Freiburg - Level up your ggplot: Adding labels, arrows and other annotations

• Exploratory Data Analysi by Priyanka Gagnejas - RStudio

• Data Science Hangout - Merav Yuravlivker - Data Society

• Episode 25: Colin Fay is back! by Shiny Developer Series

• Why R? 2021 Pearson Session

• Why R? 2021 Jumping Rivers Session

• Max Kuhn - What’s new and upcoming with tidymodels

• Using RStudio on Amazon SageMaker - RStudio

Internationally

• Daniela Garcia & Julieta Nieva - R en la Administración Pública & R Markdown - RStudio

Tutorials

• 6 simple Shiny things I have learned from creating a somewhat small app

• A tutorial to get started with shinytableau – an R package that lets you create Tableau dashboard extensions using R and R Shiny.

• How to Make R Markdown Snow

• Pre-processing layers in keras: What they are and how to use them

• A new function to plot convergence diagnostics from lme4::allFit()

• An Introduction to packager

• Referring to American Presidents

• Introduction to the patchwork add-on package

• Using Keras for Deep Learning with R

• Lex, Parse and Evaluate a Simple S-Expression with {flexo}

• Three Ways to Program in Python With RStudio

• Groups and Paths and Masks in R Graphics

• Exploring design effects of stepped wedge designs with baseline measurements

• Advent of 2021, Day 9 – RDD Operations

• Advent of 2021, Day 11 – Working with packages and spark dataFrames

• Advent of 2021, Day 10 – Working with data frames

R Project Updates

Update from the R Contribution Working Group (RCWG):

• Saranjeet Kaur has been awarded a grant in the The Digital Infrastructure Incubator at Code for Science & Society (https://incubator.codeforscience.org/cohort).
  • Project will build off of the R Development Guide to foster a sustainable community around it, likely through monthly “collaboration campfires” to work through open issues and develop tutorials.
• Still considering planning a bug barbecue, likely in spring or summer 2022, possibly coordinating with useR.
• We are looking for a few volunteers to help administer the R-devel slack and to communicate updates from the group. Contact Heather Turner if interested.

See the minutes for full details on these and other topics we discussed, and the RCWG repo README for information on how to get involved. Our next meeting will be Tuesday, January 18, 2022, 20:00-21:00 UTC.

Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings

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

Call for Participation

Your support will keep R Weekly team moving! ????

Quotes of the Week

The Church of the 95% Confidence Interval #rstats pic.twitter.com/m0gvvu2Dav

— Julien Cloarec (@CloarecJulien) December 5, 2021

how did i not know about the cute little #rstats tibble::lst() function?!

???? list(x, y)
???? lst(x, y)

thank you @pariharmadhur! ???? https://t.co/3pCeVF7kGF pic.twitter.com/LwD904exG5

— Shannon Pileggi (@PipingHotData) December 8, 2021

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