R Weekly 2023-W20 ggflowchart, Dockerized Development Environments, Production is like Ultra Running

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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 Sam Parmar, with help from the R Weekly team members and contributors.

Highlight

• Introducing {ggflowchart}

• Why you should consider working on a dockerized development environment

• Colin Fay, Keynote: Production is like ultra running: brutal, ungrateful, but worth every step

Insights

• Shiny on Hugging Face

• Why you should consider working on a dockerized development environment

• Introducing {ggflowchart}

• Pledging My Time VI: scraping and analysis of race results in R

• Group-equivariant neural networks with escnn

• Bootstrap Intervals: Understanding the Gender-based Over-qualified Rates

• Model Misspecification and Linear Sandwiches

• Big changes to making summary rows in {gt} 0.9.0

R in the Real World

• Diffify - the anniversary update!

• {riskassessment} app from the R Validation Hub voted best Shiny app at shinyConf 2023! 🎉

R in Organizations

• SatRdays London 2023: Thanks for coming!

• Driving impact with data science communities

• The State of Pharma: Collaboration and Innovation with Open-Source Tools

R in Academia

• Coloring in Rs blind spot

• Amplification of Lightning in the European Alps 1980-2019

Resources

• 5 new books added to Big Book of R

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {annmatrix} 0.1.1: Annotated Matrix: Matrices with Persistent Row and Column Annotations
• {ggflowchart} 1.0.0: Flowcharts with ‘ggplot2’
• {pressuRe} 0.1.0: Imports, Processes, and Visualizes Biomechanical Pressure Data
• {OHCSpackage} 0.1.5: Prepare Housing Data for Analysis
• {iplookupapi} 0.1.0: Client for the ‘iplookupapi.com’ IP Lookup API
• {ipbase} 0.1.1: Client for the ‘ipbase.com’ IP Geolocation API
• {emailvalidation} 0.1.0: Client for the ‘emailalvalidation.io’ E-Mail Validation API
• {NLPutils} 0.0-5.1: Natural Language Processing Utilities
• {qdap} 2.4.6: Bridging the Gap Between Qualitative Data and Quantitative
• {qdapTools} 1.3.7: Tools for the ‘qdap’ Package Analysis
• {modACDC} 1.0.0: Association of Covariance for Detecting Differential Co-Expression
• {ggtricks} 0.1.0: Create Sector and Other Charts Easily Using Grammar of Graphics
• {ISAR} 0.1.10: Introduction to Sports Analytics using R (ISAR) Data
• {WCluster} 1.1.0: Clustering and PCA with Weights, and Data Nuggets Clustering
• {shiny.exe} 0.1.0: Schedule a Task that Runs a shinyApp then Creates a Shortcut in Current Directory
• {fetch} 0.1.2: Fetch Data from Various Data Sources
• {StockDistFit} 1.0.0: Fit Stock Price Distributions
• {ggplot2.utils} 0.2.1: Selected Utilities Extending ‘ggplot2’
• {tutorial.helpers} 0.2.3: Helper Functions for Creating Tutorials
• {ggrounded} 0.0.3: Rounded Bar Plots
• {covid19br} 0.1.5: Brazilian COVID-19 Pandemic Data
• {tidytlg} 0.1.1: Create TLGs using the ‘tidyverse’
• {SSplots} 0.1.1: Stock Status Plots (SSPs)
• {shiny.telemetry} 0.1.0: ‘Shiny’ App Usage Telemetry
• {rfars} 0.3.0: Download and Analyze Fatal Crash Data
• {survstan} 0.0.1: Fitting Survival Regression Models via ‘Stan’

Updated Packages

🔍 Search on R-universe 🔍

• {nanonext} 0.8.3: R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ.
• {fairml} 0.8: Fair Models in Machine Learning - diffify
• {ggdist} 3.3.0: Visualizations of Distributions and Uncertainty - diffify
• {pROC} 1.18.2: Display and Analyze ROC Curves - diffify
• {colorblindcheck} 1.0.2: Check Color Palettes for Problems with Color Vision Deficiency - diffify
• {stringstatic} 0.1.1: Dependency-Free String Operations - diffify
• {VeryLargeIntegers} 0.2.1: Store and Operate with Arbitrarily Large Integers - diffify
• {MCMCvis} 0.16.0: Tools to Visualize, Manipulate, and Summarize MCMC Output - diffify
• {softbib} 0.0.2: Software Bibliographies for R Projects - diffify
• {reporter} 1.4.1: Creates Statistical Reports - diffify
• {rhino} 1.3.1: A Framework for Enterprise Shiny Applications - diffify
• {confintr} 1.0.1: Confidence Intervals - diffify
• {tuneR} 1.4.4: Analysis of Music and Speech - diffify
• {rviewgraph} 1.4.2: Animated Graph Layout Viewer - diffify
• {AirMonitor} 0.3.11: Air Quality Data Analysis - diffify
• {parquetize} 0.5.6.1: Convert Files to Parquet Format - diffify
• {daterangepicker} 0.2.0: Create a Shiny Date-Range Input - diffify
• {nonmemica} 1.0.1: Create and Evaluate NONMEM Models in a Project Context - diffify
• {contingencytables} 2.0.0: Statistical Analysis of Contingency Tables - diffify
• {flashlight} 0.9.0: Shed Light on Black Box Machine Learning Models - diffify
• {finalsize} 0.2.0: Calculate the Final Size of an Epidemic - diffify
• {bookdown} 0.34: Authoring Books and Technical Documents with R Markdown - diffify
• {simplevis} 7.1.0: Wrappers to Simplify ‘leaflet’ Visualisation - diffify
• {waldo} 0.5.1: Find Differences Between R Objects - diffify
• {httr} 1.4.6: Tools for Working with URLs and HTTP - diffify
• {data.validator} 0.2.0: Automatic Data Validation and Reporting - diffify
• {VedicDateTime} 0.1.4: Vedic Calendar System - diffify
• {ShinyItemAnalysis} 1.5.0: Test and Item Analysis via Shiny - diffify
• {ctrdata} 1.13.1: Retrieve and Analyze Clinical Trials in Public Registers - diffify
• {IncidencePrevalence} 0.3.0: Estimate Incidence and Prevalence using the OMOP Common Data Model - diffify
• {RNewsflow} 1.2.7: Tools for Comparing Text Messages Across Time and Media - diffify
• {parabar} 1.1.0: Progress Bar for Parallel Tasks - diffify
• {reproducible} 2.0.2: Enhance Reproducibility of R Code - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Colin Fay, Keynote: Production is like ultra running: brutal, ungrateful, but worth every step

• Get started with Quarto - Mine Çetinkaya-Rundel

• Nicola Rennie: Finding #RStats resources with Shiny and GitHub Actions

• Tan Ho: DIY Pest Control: Effectively Debugging Shiny Apps

Shiny Apps

• R Shiny Examples in Pharma and Biotech

• How R Shiny Helps Protect Coral Reefs in Micronesia

• Systematic Literature Review and R Shiny: App for Marine Conservation and Climate Change Mitigation

• Introducing the Weighted pickerInput Module for Shiny

R Internationally

• Teaching and Translating R Resources in Nepal

Tutorials

• Making POST requests with R

• Creating a cracked egg plot using {ggplot2} in R

• Tune an xgboost model with early stopping and #TidyTuesday childcare costs

• Deploy a model on AWS SageMaker with vetiver

R Project Updates

Updates from R Core:

R Contributor Office Hours, Thursday May 11: Europe/Middle East/Asia-Pacific Hour or Americas Hour

Join an online Office Hour at the time that suits you to:

• discuss how to get started contributing to R
• get help/feedback on contributions you are working on
• look at open bugs/work on translations together

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

• Weekly R Workshops for Ukraine

• The 15th Annual R/Finance Conference 2023

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

A population density map of the Pearl River Delta. Couldn't decide which one I like better so here's both. The left one includes Hong Kong; the one on the right doesn't and is bound to the shape of the actual delta. Which one do you prefer?#rayshader adventures, an #rstats tale pic.twitter.com/xbfV2ZXIU7

— terence t (@researchremora) May 12, 2023

🔍 Explore the hidden secrets of urban layouts with #rstats! Analysing street orientation the #rspatial way includes just a few lines of code to come up with this plot for every city on earth.

💾 gist: https://t.co/JASpUSBSkf… #gischat pic.twitter.com/3o0B9Ks6pg

— Marco Sciaini (@shinysci) May 10, 2023

Monochrome Trigonometry 709

Done in #rstats with #ggplot2#Rtistry #generativeart #creativecoding pic.twitter.com/hEEtnGeYbU

— aRtfulBot (@aRtfulBot) May 14, 2023

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