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Hello and welcome to this new issue!

Release Date: 2021-07-26

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

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

Highlight

• Top 3 Coding Best Practices from the Shiny Contest

• {targets} 0.6.0: Dynamic Function-Oriented ‘Make’-Like Declarative Workflows

• Introducing {facetious} - alternate facets for ggplot2

Insights

• Transform Finance – Three Key Event Takeaways

• Impressions from useR! 2021

• Machine learning in a hurry: what I’ve learned from the SLICED ML competition

• Why use Purrr?

• LondonR: July edition

R in the Real World

• Did Residential Racial Segregation in the U.S. Really Increase? An Analysis Accounting for Changes in Racial Diversity

• Packet Maze: Solving a CyberDefenders PCAP Puzzle with R, Zeek, and tshark

• Advice to Aspiring Sports Analytics Professionals

Resources

• YARDS - Yet Again: R + Data Science

• rOpenSci News Digest, July 2021

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• Introducing the incidence2 package which provides functions and classes to compute, handle and visualise incidence from dated events

• {shinyauthr} 1.0.0: Add in-app user authentication to ‘shiny’, allowing you to secure publicly hosted apps and build dynamic user interfaces from user information
• {rstyles} 0.4.0: Generating Simulated Data Mimicking Response Styles to Survey Questions
• {itdr} 1.0: Integral Transformation Methods for SDR in Regression
• {deeptime} 0.1.0: Plotting Tools for Anyone Working in Deep Time
• {connectwidgets} 0.1.1: Organize and Curate Your Content Within ‘RStudio Connect’
• {ISLR2} 1.0: Introduction to Statistical Learning, Second Edition
• {covid19india} 0.1.2: Pulling Clean Data from Covid19india.org
• {boomer} 0.1.0: Debugging Tools to Inspect the Intermediate Steps of a Call
• {ffsimulator} 1.0.0: Simulate Fantasy Football Seasons
• {tidylda} 0.0.1: Latent Dirichlet Allocation Using ‘tidyverse’ Conventions
• {messydates} 0.1.1: A Flexible Class for Messy Dates
• {kinematics} 1.0.0: Studying Sampled Trajectories
• {fedstatAPIr} 0.1: Unofficial API for Fedstat (EMISS) for Automatic and Efficient Data Queries
• {CKMRpop} 0.1.3: Forward-in-Time Simulation and Tallying of Pairwise Relationships

GitHub or Bitbucket

• Introducing {facetious} - alternate facets for ggplot2

Updated Packages

• {leaflegend} 0.4.0: Provides extensions to the ‘leaflet’ package to customize legends with images, text styling, orientation, sizing, and symbology. ( cran.r-project.org )

• {ichimoku} 0.3.0: Visualization and Tools for Ichimoku Kinko Hyo Strategies

• crossvalidation on R-universe, plus a classification example
• RcppSpdlog 0.0.6 on CRAN: New upstream
• pkgKitten 0.2.2 on CRAN: Small Updates
• readr 2.0.0
• {findInFiles} 0.2.0: Find Pattern in Files
• {stacks} 0.2.1: Tidy Model Stacking
• {ggmulti} 1.0.4: High Dimensional Data Visualization
• {nodbi} 0.4.3: ‘NoSQL’ Database Connector
• {fastmatch} 1.1-3: Fast ‘match()’ Function
• {iotools} 0.3-2: I/O Tools for Streaming
• {ggtern} 3.3.5: An Extension to ‘ggplot2’, for the Creation of Ternary Diagrams
• {blob} 1.2.2: A Simple S3 Class for Representing Vectors of Binary Data (‘BLOBS’)
• {leaflegend} 0.4.0: Add Custom Legends to ‘leaflet’ Maps
• {shinyMobile} 0.9.0: Mobile Ready ‘shiny’ Apps with Standalone Capabilities
• {workflowsets} 0.1.0: Create a Collection of ‘tidymodels’ Workflows
• {Rttf2pt1} 1.3.9: ‘ttf2pt1’ Program
• {rgl} 0.107.10: 3D Visualization Using OpenGL
• {garma} 0.9.8: Fitting and Forecasting Gegenbauer ARMA Time Series Models
• {speakr} 3.2.0: A Wrapper for the Phonetic Software ‘Praat’
• {languageserver} 0.3.11: Language Server Protocol
• {elevatr} 0.4.1: Access Elevation Data from Various APIs
• {afex} 1.0-1: Analysis of Factorial Experiments
• {renv} 0.14.0: Project Environments
• {targets} 0.6.0: Dynamic Function-Oriented ‘Make’-Like Declarative Workflows
• {officer} 0.3.19: Manipulation of Microsoft Word and PowerPoint Documents
• {hereR} 0.7.1: ‘sf’-Based Interface to the ‘HERE’ REST APIs
• {tune} 0.1.6: Tidy Tuning Tools
• {moderndive} 0.5.2: Tidyverse-Friendly Introductory Linear Regression
• {parsnip} 0.1.7: A Common API to Modeling and Analysis Functions
• {panelView} 1.1.5: Visualizing Panel Data
• {ggside} 0.1.2: Side Grammar Graphics
• {paletteer} 1.4.0: Comprehensive Collection of Color Palettes
• {jstable} 1.0.5: Create Tables from Different Types of Regression
• {Temporal} 0.3.0: Parametric Time to Event Analysis
• {sivs} 0.2.5: Stable Iterative Variable Selection
• {pkgKitten} 0.2.2: Create Simple Packages Which Do not Upset R Package Checks
• {rscorecard} 0.19.1: A Method to Download Department of Education College Scorecard Data
• {ttdo} 0.0.8: Extend ‘tinytest’ with ‘diffobj’
• {influential} 2.2.3: Identification and Classification of the Most Influential Nodes
• {plotmo} 3.6.1: Plot a Model’s Residuals, Response, and Partial Dependence Plots
• {circletyper} 1.0.1: Curve Text Elements in ‘Shiny’ Using ‘CircleType.js’

Videos and Podcasts

• Webinars: Practical Advice for R in Production

• TidyX Episode 68 : Ellis and Patrick continue their series on data cleaning and discuss sharing your outputs.

• Shiny Developer Series livestream: Custom interactions with {shinycal}

• Rvest scraping in R: a video tutorial on Twitch and code repo

Shiny Apps

• Top 3 Coding Best Practices from the Shiny Contest

• COVID-19 Dashboard

R Internationally

• Latin R talks about the Trials of Starting a Conference in Latin America

• R Ladies Montevideo, Uruguay, Explains How to Create a High Quality Conference in the Southern Hemisphere

• LatinR Explains How to Create a High Quality Conference in the Southern Hemisphere

Tutorials

• Efficient R: Performant data.frame constructors - how and when to use an alternative to as.data.frame

• How to Calculate Root Mean Square Error (RMSE) in R

• How to perform ANCOVA in R

• Revealing research

• Handling Splits with SwimmeR

• Little useless-useful R functions – Drawing calendar

• Automate your workflow startup

• Use text plots to enhance data-ETL log files

• How to run R in Visual Studio Code

• analogsea: Using Arrow, S3 and DigitalOcean for efficient model fitting in RStudio

• Unlocking fast lockfile generation

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Scaling R at GSK - The R Adoption Series

• A list of R conferences and meetings

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

Call for Participation

• Microsoft365R: testers wanted

Your support will keep R Weekly team moving! 💡

Quotes of the Week

#rstats #rshiny debugging tip.
Use {boomer} to log to the console everything that happens inside reactive calls.
Instead of
foo <- reactive({...})
Do
foo <- reactive(boom({...}))
Adjust the print arg if needed, use the clock arg to profile steps. https://t.co/aLvcCz33ci

— Antoine Fabri (@antoine_fabri) July 25, 2021

Sneak peek at an upcoming site for picking color palettes in #rstats

Sort and filter to find the perfect palette for your project pic.twitter.com/tgnZV7FcNY

— Emil Hvitfeldt (@Emil_Hvitfeldt) July 21, 2021

vscode-#rstats v2.1.0 released! R language service integrated, session watcher enabled by default, preview R markdown documents, new data viewer! https://t.co/HKS455PRKJ

— Kun Ren (@renkun_ken) July 20, 2021