R Weekly 2022-W16 r-spatial, error chaining, monads

17 Apr 2022

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

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

Highlight

• 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

• Listen to the R-Weekly Highlights podcast episode 74

Insights

• R-spatial evolution: retirement of rgdal, rgeos and maptools

• WTF is Kubernetes and Should I Care as R User?

• Why you should(n’t) care about Monads if you’re an R programmer

R in the Real World

• Keeping Those SSH Keys Safe

• How to collect dataviz from Twitter into your note-taking system

• NBA player names in hip hop lyrics

• Predicting Twenty 20 Cricket Result with Tidy Models

R in Organizations

• R-Ladies Cologne joins the family

Resources

• The Power of Internal Packages (BostonR presentation)

• Billionaires and Taxes: Some Visualisation on Taxes by Rich

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {sftime} 0.2.0: Classes and Methods for Simple Feature Objects that Have a Time Column
• {scales} 1.2.0: Graphical scales map data to aesthetics.
• {Matching} 4.10-2: Multivariate and Propensity Score Matching with BalanceOptimization
• {clusterHD} 1.0.0: Tools for Clustering High-Dimensional Data
• {AQEval} 0.4.5: Air Quality Evaluation
• {SoilTesting} 0.1.0: Organic Carbon and Plant Available Nutrient Contents in Soil
• {deforestable} 3.0.0: Classify RGB Images into Forest or Non-Forest
• {valet} 0.9.0: Provide R Client to the Bank of Canada’s Valet API
• {spooky} 1.1.0: Time Feature Extrapolation Using Spectral Analysis and Jack-Knife Resampling
• {MTS} 1.2.1: All-Purpose Toolkit for Analyzing Multivariate Time Series (MTS) and Estimating Multivariate Volatility Models
• {randomGLM} 1.10-1: Random General Linear Model Prediction

GitHub or Bitbucket

• {lterdatasampler 0.1.0}: Educational dataset examples from the Long Term Ecological Research program

Updated Packages

• {brms 2.17.0: Fit Bayesian generalized (non-)linear multivariate multilevel models using ‘Stan’ for full Bayesian inference.
• {nanonext} 0.4.0: NNG (Nanomsg Next Gen) Lightweight Messaging Library.
• {mirai} 0.4.0: Minimalist async evaluation framework for R.
• {ggsvg} 0.1.4: Use SVG images as ggplot points.
• {xgboost} 1.6.0.1
• {bookdown} 0.26: Authoring Books and Technical Documents with R Markdown
• {zoo} 1.8-10: S3 Infrastructure for Regular and Irregular Time Series (Z’s Ordered Observations)
• {skimr} 2.1.4: Compact and Flexible Summaries of Data
• {modelsummary} 0.10.0: Summary Tables and Plots for Statistical Models and Data
• {broom} 0.8.0: Convert Statistical Objects into Tidy Tibbles
• {mapboxapi} 0.3.3: R Interface to ‘Mapbox’ Web Services
• {tidycensus} 1.2: Load US Census Boundary and Attribute Data as ‘tidyverse’ and ‘sf’-Ready Data Frames

Videos and Podcasts

• TidyX Episode 101 - Sampling, Simulation, and Intro to Bayes - Poisson/Gamma
• Using Quarto for revealjs slides - Eric Nantz
• Shiny Developer Series Episode 31 - The Connecticut COVID-19 Test Spotter App (Part 2)

Tutorials

• Customising pkgdown with a version selector

• Error chaining

• A simple introduction to ggplot2 (for plotting your data!)

• Selection bias and observed values

• Propensity Score Matching

• To impute or not: the case of an RCT with baseline and follow-up measurements

• Re-introducing mirai

• Building R packages

R Project Updates

Updates from R Core

Upcoming Events in 3 Months

Events in 3 Months:

• Tidy Survey Analysis in R: Workshop Series: April 15th, April 22nd, April 29th

• Big Data Belfast: May 25th

• 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

• RStudio Community Monthly Events Roundup - April 2022

Grants & Funding

• R Consortium ISC Call for Proposals looking to provide grants for technical projects that will have a significant impact on the R Community. Deadline 2022-05-01

• R Consortium New R User Groups, Conferences, and Training Program. Deadline 2022-09-30

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

Do you see a lot of great #dataviz on Twitter? Like in the #30DayChartChallenge?

And do you want to collect them straight to your Markdown note-taking system for future inspiration?

Here's how you can send the tweet link to yourself via email and let #rstats do the rest. 🧵⬇️ pic.twitter.com/2kXEwK97rm

--- Albert Rapp (@rappa753) April 14, 2022

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

Five quick #rstats tips I've picked up in the plots I've made for the first category of the #30DayChartChallenge 🧵👇

1. Need to plot a million points and ggplot() is taking too long but you want to stay within the tidyverse?

👉 Use 📦{scattermore} with geom_scattermore() 🥳

--- Cara Thompson (@cararthompson) April 6, 2022

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>

Oooooh the latest version (1.2) of {scales} adds support for true minus signs (− instead of -, where the − is the same width as a +)! And it puts the − on the correct side of the dollar sign! You can also automatically add +s if you want. This is so neat! #rstats #ggplot2 pic.twitter.com/28kIQDUCkK

--- Andrew Heiss 🇺🇦 (@andrewheiss) April 14, 2022

<script async src="https://platform.twitter.com/widgets.js" charset="utf-8"></script>