R Weekly 2021-W18 Testing R, Unit Testing, Radar/Pizza Charts

03 May 2021

Release Date: 2021-05-03

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

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

Highlight

• R Can Use Your Help: Testing R Before Release

• Writing unit tests in R

• Soccer Percentile Radars/Pizza’s Tutorial

Insights

• blogdown updates prompted a website overhaul: These are my notes

• One-way random walks

• parallelly 1.25.0

• R tips and tricks – readClipboard

• The Solution to my Viral Coin Tossing Poll

• How to plot XGBoost trees in R

• Prep a CSV from an Otter.AI transcript exported as a plain text file

• Estimate change in #TidyTuesday CEO departures with bootstrap resampling

• R Can Use Your Help: Testing R Before Release

• R Count the Number of Occurrences in a Column using dplyr

• Using SQL for R data.frames with sqldf

• Set Up Your Package to Foster a Community - Community Call Summary

• Writing unit tests in R

• The 2021 USMS ePostal Championship Results, Working Up Data for a Shiny App

• torch for optimization

• The Good, the Bad and the Ugly: how to visualize Machine Learning data

R in the Real World

• Exploring the Star Wars “Prequel Renaissance” Using tidymodels and workflowsets

R in Organizations

• Shipping Application Logs from RStudio Connect

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {juicr} 0.1: Automated and Manual Extraction of Numerical Data from Scientific Images
• {leafdown} 1.0.0: Provides Drill Down Functionality for ‘leaflet’ Choropleths
• {rtern} 0.1.1: A Ternary Conditional Operator for R
• {prenoms} 0.0.1: Names Given to Babies in Quebec Between 1980 and 2020
• {flametree} 0.1.2: Generate Random Tree-Like Images
• {safejoin} 0.1.0: Perform “Safe” Table Joins
• {latexdiffr} 0.1.0: Diff ‘rmarkdown’ Files Using the ‘latexdiff’ Utility

GitHub or Bitbucket

• {job}: Free Your R Console

Updated Packages

• {mcmcensemble} 3.0.0: Ensemble Sampler for Affine-Invariant MCMC. Changes for the 3.0.0 are summarised in the related blog post
• {shinydashboardPlus} 2.0.1: Add More ‘AdminLTE2’ Components to ‘shinydashboard’
• Version 0.11.0 of NIMBLE released
• {covidregionaldata}: An interface to subnational and national level COVID-19 data
• {targets} 0.4.2: Dynamic Function-Oriented ‘Make’-Like Declarative Workflows
• {unitizer} 1.4.14: Interactive R Unit Tests
• {rasterVis} 0.50.2: Visualization Methods for Raster Data
• {phonenumber} 0.2.3: Convert Letters to Numbers and Back as on a Telephone Keypad
• {huxtable} 5.3.0: Easily Create and Style Tables for LaTeX, HTML and Other Formats
• {journalabbr} 0.3.0: Journal Abbreviations for BibTeX Documents
• {dqrng} 0.3.0: Fast Pseudo Random Number Generators
• {V8} 3.4.2: Embedded JavaScript and WebAssembly Engine for R
• {rlang} 0.4.11: Functions for Base Types and Core R and ‘Tidyverse’ Features
• {R.cache} 0.15.0: Fast and Light-Weight Caching (Memoization) of Objects and Results to Speed Up Computations
• {parallelly} 1.25.0: Enhancing the ‘parallel’ Package
• {mongolite} 2.3.1: Fast and Simple ‘MongoDB’ Client for R
• {simplevis} 3.0.0: Make ‘ggplot2’ and ‘leaflet’ Visualisation Easier
• {curl} 4.3.1: A Modern and Flexible Web Client for R
• {webfakes} 1.1.3: Fake Web Apps for HTTP Testing
• {gh} 1.3.0: ‘GitHub’ ‘API’
• {emayili} 0.4.10: Send Email Messages
• {tidyselect} 1.1.1: Select from a Set of Strings
• {ggeffects} 1.1.0: Create Tidy Data Frames of Marginal Effects for ‘ggplot’ from Model Outputs
• {validate} 1.0.4: Data Validation Infrastructure
• {ComplexUpset} 1.2.1: Create Complex UpSet Plots Using ‘ggplot2’ Components
• {vctrs} 0.3.8: Vector Helpers
• {wikifacts} 0.4.2: Get Facts and Data from Wikipedia and Wikidata
• {ellipsis} 0.3.2: Tools for Working with …
• {rJava} 1.0-4: Low-Level R to Java Interface
• {rayshader} 0.24.10: Create Maps and Visualize Data in 2D and 3D
• {keyring} 1.2.0: Access the System Credential Store from R
• {ggVennDiagram} 1.0.7: A ‘ggplot2’ Implement of Venn Diagram
• {torch} 0.3.0: Tensors and Neural Networks with ‘GPU’ Acceleration
• {scholar} 0.2.1: Analyse Citation Data from Google Scholar
• {Visualize.CRAN.Downloads} 1.0.1: Visualize Downloads from ‘CRAN’ Packages
• {arrow} 4.0.0: Integration to ‘Apache’ ‘Arrow’
• {piecepackr} 1.7.2: Board Game Graphics
• {roxut} 0.2.40: Document Unit Tests Roxygen-Style
• {cli} 2.5.0: Helpers for Developing Command Line Interfaces
• {survival} 3.2-11: Survival Analysis

Videos and Podcasts

• Zoom talk on “Version control and git for beginners” from the Grenoble (FR) R user group

• ggplot2: From Bad Pie Charts to Polished Bars & Animation - Step by Step.

Tutorials

• How to Analyze and Visualize Oktoberfest Data Using R and ggplot2 and How to Predict Price Information

• Soccer Percentile Radars/Pizza’s Tutorial

• Effect sizes for experimental trials analyzed with multilevel growth models: Two of two

R Project Updates

Updates from R Core:

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

Introducing {burglr}, copy functions from other packages without adding them as dependencies.#rstats pic.twitter.com/hLJr2YgLOx

— Antoine Fabri (@antoine_fabri) April 29, 2021

I'm excited to announce https://t.co/0fdElQt5Ni

The site lets you:

• Browse the contents and git history of all @Bioconductor software packages
• Search for across all software packages at once, and filter results by file names, types, or packages #rstats

— Mike Smith (@grimbough) April 28, 2021

Mastering Shiny has just gone into production🎉, so now's a great to pre-order if you want a physical copy! https://t.co/r5BnEMiOBd (Or continue to read online for free at https://t.co/aby9kfwmQu) #rstats pic.twitter.com/PKNvsIHFxJ

— Hadley Wickham (@hadleywickham) April 29, 2021