R Weekly 2022-W39 Actions, Collaborations, and Logging

26 Sep 2022

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

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

Highlight

• Deploy Flexdashboard on Github Pages with Github Actions and Docker

• GitHub - The Perks of Collaboration and Version Control

• API as a package: Logging

Insights

• GitHub - The Perks of Collaboration and Version Control

• Presenting results for multinomial logistic regression: a marginal approach using propensity scores

• API as a package: Logging

• 101st TokyoR Meetup Roundup: Palmer penguins, fractal analysis, and more!

• Predict the status of #TidyTuesday Bigfoot sightings

• Announcing the 2022 Table Contest

• rOpenSci News Digest, September 2022

• Announcing the rOpenSci Champions Program!

• Cover Up

• Dealing with the Second Hardest Thing in Computer Science

• Introducing {gtreg}

• Interactive pixel art in R with {pixeltrix}

• A note on Shiny reactivity

• explore: simplified exploratory data analysis (EDA) in R

• Optimizing my search for Data scientist jobs by scraping Indeed with R

• Waffle charts with svg images

R Users

• R Users Group Gainesville: Experimenting with New Event Formats

• From Biology to Healthcare Analytics: My Data Science Journey

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {renderthis} 0.2.0: Render Slides to Different Formats
• {verbaliseR} 0.1: Make your Text Mighty Fine
• {REDCapTidieR} 0.1.2: Extract ‘REDCap’ Databases into Tidy ‘Tibble’s
• {CytobankAPI} 2.1.0: Cytobank API Wrapper for R
• {neuRosim} 0.2-13: Simulate fMRI Data
• {usincometaxes} 0.5.2: Calculate Federal and State Income Taxes in the United States
• {rocbc} 0.1.0: Statistical Inference for Box-Cox Based Receiver Operating Characteristic Curves
• {defineR} 0.0.4: Creates Define XML Documents
• {grandR} 0.2.0: Comprehensive Analysis of Nucleotide Conversion Sequencing Data
• {rGV} 0.0.2: Analysis of Continuous Glucose Monitor Data
• {snappier} 0.2.0: Compress and Decompress ‘Snappy’ Encoded Data
• {TSCI} 1.0.0: Tools for Causal Inference with Possibly Invalid Instrumental Variables
• {attachment} 0.3.0: Deal with Dependencies
• {NetPreProc} 1.2: Network Pre-Processing and Normalization
• {refdb} 0.1.1: A DNA Reference Library Manager
• {Qindex} 0.1.0: Quantile-Based Predictors for Survival Outcome
• {hockeystick} 0.6.3: Download and Visualize Essential Climate Change Data
• {blscrapeR} 3.2.2: An API Wrapper for the Bureau of Labor Statistics (BLS)

Updated Packages

🔍 Search on R-universe 🔍

• {pins} 1.0.3: Pin, Discover and Share Resources
• {ssh} 0.8.1: Secure Shell (SSH) Client for R
• {clickR} 0.8.3: Semi-Automatic Preprocessing of Messy Data with Change Tracking for Dataset Cleaning
• {sportyR} 2.0.1: Plot Scaled ‘ggplot’ Representations of Sports Playing Surfaces
• {rlang} 1.0.6: Functions for Base Types and Core R and ‘Tidyverse’ Features
• {blogdown} 1.13: Create Blogs and Websites with R Markdown
• {mixture} 2.0.5: Mixture Models for Clustering and Classification
• {tokenizers} 0.2.3: Fast, Consistent Tokenization of Natural Language Text
• {tidytable} 0.9.0: Tidy Interface to ‘data.table’
• {memoiR} 1.2-2: R Markdown and Bookdown Templates to Publish Documents
• {volcano3D} 2.0.8: 3D Volcano Plots and Polar Plots for Three-Class Data
• {tidyterra} 0.2.1: ‘tidyverse’ Methods and ‘ggplot2’ Utils for ‘terra’ Objects
• {this.path} 1.0.1: Get Executing Script’s Path, from ‘RStudio’, ‘Rgui’, ‘VSCode’, ‘Rscript’ (Shells Including Windows Command-Line / Unix Terminal), and ‘source’
• {Require} 0.1.2: Installing and Loading R Packages for Reproducible Workflows
• {h2o} 3.38.0.1: R Interface for the ‘H2O’ Scalable Machine Learning Platform
• {DatabaseConnector} 5.1.0: Connecting to Various Database Platforms
• {cli} 3.4.1: Helpers for Developing Command Line Interfaces
• {umbridge} 1.0: Integration for the UM-Bridge Protocol
• {anndata} 0.7.5.5: ‘anndata’ for R
• {envir} 0.2.2: Manage R Environments Better
• {survivoR} 2.0: Data from all Seasons of Survivor (US) TV Series in Tidy Format
• {geoknife} 1.6.8: Web-Processing of Large Gridded Datasets
• {toolbox} 0.1.1: List, String, and Meta Programming Utility Functions
• {Rlabkey} 2.9.0: Data Exchange Between R and ‘LabKey’ Server
• {alakazam} 1.2.1: Immunoglobulin Clonal Lineage and Diversity Analysis
• {admiral} 0.8.1: ADaM in R Asset Library
• {SeuratObject} 4.1.2: Data Structures for Single Cell Data
• {duckdb} 0.5.1: DBI Package for the DuckDB Database Management System
• {brms} 2.18.0: Bayesian Regression Models using ‘Stan’
• {flextable} 0.8.1: Functions for Tabular Reporting
• {leafdown} 1.2.0: Provides Drill Down Functionality for ‘leaflet’ Choropleths
• {hdf5r} 1.3.6: Interface to the ‘HDF5’ Binary Data Format
• {hockeyR} 1.2.0: Collect and Clean Hockey Stats
• {common} 1.0.4: Solutions for Common Problems in Base R
• {ngramr} 1.8.2: Retrieve and Plot Google n-Gram Data

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast
• TidyX Episode 116
• explore: simplified exploratory data analysis (EDA) in R

R Internationally

• ¡Anunciamos el programa de Campeones y Campeonas de rOpenSci! (🇪🇸)

Tutorials

• Deploy Flexdashboard on Github Pages with Github Actions and Docker

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

• October 6-7: Shiny in Production conference from Jumping Rivers

• November 23-25: I Congreso & XII Jornadas de Usuarios de R

Grants & Funding

• R Consortium ISC Call for Proposals - Infrastructure Steering Committee (ISC) grants for low-to-medium risk projects with a focused scope and likely to have a broad impact on the R Community. Deadline 2022-10-01.

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

• Come work with us in Developer Relations

rtistry

• Weave

• Ellipses

• Fractured Orbits

• Mathart

Quotes of the Week

Do you have a dataset with some missing values, and another form with the missing values completed? Yesterday I was reminded about the rows_update() #rstats function! pic.twitter.com/1VOE8SPTiB

— Crystal Lewis (@Cghlewis) July 15, 2022

Image of Melbourne, Australia created in #rstats using data from #OpenStreetMap. pic.twitter.com/wnwsqutqg8

— R City Views (@rcityviews) September 24, 2022

How cool is that? 🤯 🥳
Favorite new Shiny trick: Toggling hidden parts in the UI with {shinyjs}. Such a smoooooth animation. 🌊

Stick around for the code and a short explainer 🧵 #rstats pic.twitter.com/8fS0Df4jh6

— Albert Rapp (@rappa753) September 23, 2022

Flight attendant: Is there a doctor on the plane?

Me: That's me, but I'm not that kind of --

FA: Someone needs to make a complicated yet clear figure in ggplot and they only have ten minutes

Me: My time has come

— Andrew Perfors (@AndyPerfors) September 23, 2022