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Hello and welcome to this new issue!

Release Date: 2021-10-11

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

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

Highlight

• Pull Request Flow with usethis

• 2021 New York R Conference Videos

• {ggalignment} 1.0.0: Plots ‘D&D’-Style Alignment Charts

Insights

• Did German Voters Become More Impulsive?

• Data Domains: Fantastic data initiatives and where to find them

R in the Real World

• COVID-19: The Incredible Shrinking Boost of the Booster Shot

R in Organizations

• Teaching a Biomedical Data Science Course Using RStudio Cloud

• R in Pharma works to allow an open inclusive environment

Resources

• The ‘Engineering Production-Grade Shiny Apps’ book is available in print!

• {emayili} Message Precedence

• {emayili} Message Integrity

• satRday Columbus 2021: Speaking python inside of R workflows

• satRday Columbus 2021: Scalable Shapley Explanations in R

• satRday Columbus 2021: Categorical Variables with Catboost

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• validata package is released to CRAN!

• The framecleaner R package provides a tidyverse-friendly interface for modifying data frames with a sequence of piped commands

• {switchboard} 0.1: An Agile Widget Engine for Real-Time, Dynamic Visualizations

• {spm2} 1.1.0: Spatial Predictive Modeling

• {covid19br} 0.1.2: Brazilian COVID-19 Pandemic Data

• {presenter} 0.1.0: Present Data with Style

• {StanMoMo} 1.0.0: Bayesian Mortality Modelling with ‘Stan’

• {ggalignment} 1.0.0: Plots ‘D&D’-Style Alignment Charts

• {easylabel} 0.1.0: Interactive Scatter Plot and Volcano Plot Labels

• {fflr} 1.9.2: Retrieve ESPN Fantasy Football Data

• {insiderTrades} 0.0.1: Tools to Download Insider Transactions and Holdings

• {gsbDesign} 1.0-2: Group Sequential Bayes Design

• {ARTofR} 0.2.3: Who Ever Care About the [Art of R] Scripts?

• {hierbase} 0.0.4: Enabling Hierarchical Multiple Testing

GitHub or Bitbucket

• {rtweettree}: Visualizes twitter interactions as tree graphs.

• {lambdr}: Run R containers on AWS Lambda

• {ActionSquirrel}: A squirrel game in your R console, made with {R6}

Updated Packages

• pins 1.0.0

• testthat 3.1.0

• corels 0.0.3 on CRAN: Update

• RcppGSL 0.3.10: Small Update

• RQuantLib 0.4.14: More Calendars plus Update

• littler 0.3.14: Updates

• {optparse} 1.7.1: Command Line Option Parser

• {duckdb} 0.3.0: DBI Package for the DuckDB Database Management System

• {dataMaid} 1.4.1: A Suite of Checks for Identification of Potential Errors in a Data Frame as Part of the Data Screening Process

• {prompter} 1.1.0: Add Tooltips in ‘Shiny’ Apps with ‘Hint.css’

• {tiledb} 0.9.7: Universal Storage Engine for Sparse and Dense Multidimensional Arrays

• {misc3d} 0.9-1: Miscellaneous 3D Plots

• {luz} 0.2.0: Higher Level ‘API’ for ‘torch’

• {torchdatasets} 0.1.0: Ready to Use Extra Datasets for Torch

• {tidyRSS} 2.0.4: Tidy RSS for R

• {lubridate} 1.8.0: Make Dealing with Dates a Little Easier

• {flextable} 0.6.9: Functions for Tabular Reporting

• {fivethirtyeight} 0.6.2: Data and Code Behind the Stories and Interactives at ‘FiveThirtyEight’

• {Hmisc} 4.6-0: Harrell Miscellaneous

• {googleAnalyticsR} 1.0.1: Google Analytics API into R

• {sketch} 1.1.17: Interactive Sketches

• {rmdformats} 1.0.3: HTML Output Formats and Templates for ‘rmarkdown’ Documents

• {nflfastR} 4.3.0: Functions to Efficiently Access NFL Play by Play Data

• {sendgridr} 0.3.3: Mail Sender Using ‘Sendgrid’ Service

• {robservable} 0.2.1: Import an Observable Notebook as HTML Widget

• {scatterD3} 1.0.1: D3 JavaScript Scatterplot from R

• {MedianaDesigner} 0.4: Efficient Simulation-Based Power and Sample Size Calculations for a Broad Class of Late-Stage Clinical Trials

• {mazing} 1.0.5: Utilities for Making and Plotting Mazes

• {wyz.code.offensiveProgramming} 1.1.23: Wizardry Code Offensive Programming

• {torch} 0.6.0

Videos and Podcasts

• How to Include Data in Your R Package

• TidyX hosts Ellis and Patrick start a journey in Tidymodels, this week looking at linear regressions in base R and Tidymodels

• 2021 New York R Conference Videos

• Prototyping a learning Shiny progression app with {brochure}

• satRday Columbus 2021 Video

Shiny Apps

• {shinycal}: The interactive data science streamRs calendar!

R Internationally

• R Hispano talks about the growth of local groups

Tutorials

• Data Visualization with R-Scatter plots

• Pull Request Flow with usethis

• Working with Fairly Wide Data

• Multiple linear regression made simple

• A step-by-step article for performing MANOVA in R

• Learn how to automate data science processes with GitHub Actions

• Riding tables with {gt} and {gtExtras}

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• November 2-4: R/Pharma Conference 2021

• A list of R conferences and meetings

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

Call for Participation

• Take the tidymodels survey for 2022 priorities

Your support will keep R Weekly team moving! 💡

Quotes of the Week

In 1996, two academics from the University of Auckland, New Zealand, launched a new programming language.

25 years later, this language is one of the most widely used in the world.

Here's the story of R:#rstats pic.twitter.com/eMnNnyauZh

— Yohan Iddawela (@yohaniddawela) October 7, 2021

OK friends, here's a first pass at a Shiny tweetorial! I'm assuming that you have R & RStudio installed and can do some basic data analysis in R - but have little to no experience with Shiny.

This is what we'll build together by the time we hit tweet #20: pic.twitter.com/2aT5Nhwyt6

— Jesse Mostipak (@kierisi) October 7, 2021

I made a purrr pumpkin 🎃 🐈‍⬛ #rstats pic.twitter.com/g5BvjJWjJ7

— Kow (@KoderKow) October 10, 2021