R Weekly 2022-W49 dplyr, wrapped, JavaScript

05 Dec 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

• dplyr 1.1.0 is coming soon

• How to make your own #RStats Wrapped!

• How to enhance your Shiny apps with JavaScript (JS) without knowing much JS

Insights

• Some notes about improving base R code
• Handling larger than memory data with {arrow} and {duckdb}
• How to make your own #RStats Wrapped!
• October 2022: “Top 40” New CRAN Packages
• dplyr 1.1.0 is coming soon
• Infinite Scrolling in R Shiny
• How to make a plot with two different y-axis in R with ggplot2? (a secret ggplot2 hack)

• Navigating folders in RStudio: a beginner’s guide
• Functional programming explains why containerization is needed for reproducibility
• How Stable is China?
• Our First Peer-Reviewed Statistical R Packages!

• Model Calibration

• Wind data in R, part I: more than one way to peel a potato

R in the Real World

• Pharmaverse: Packages for clinical reporting workflows

R Users

• Spreading a Passion for R with the Münster Community in Germany

• A Community Gathering in Oxford for Learning about R and Networking Opportunities

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• postdoc 1.0: minimal and uncluttered HTML package manuals
• {EDCimport} 0.2.1: Import Data from EDC Software
• {ddplot} 0.0.1: Create D3 Based SVG Graphics
• {dataset} 0.1.9: Create Data Frames that are Easier to Exchange and Reuse
• {rasterList} 0.5.14: A Raster Where Cells are Generic Objects
• {messy.cats} 1.0: Employs String Distance Tools to Help Clean Categorical Data
• {CRMetrics} 0.2.2: Cell Ranger Output Filtering and Metrics Visualization
• {guiplot} 0.3.0: User-Friendly GUI Plotting Tools
• {ggsector} 1.6.1: Draw Sectors
• {funkyheatmap} 0.1.0: Generating Funky Heatmaps for Data Frames
• {wav} 0.1.0: Read and Write WAV Files
• {postdoc} 1.0.0: Minimal and Uncluttered Package Documentation
• {ggpcp} 0.2.0: Parallel Coordinate Plots in the ‘ggplot2’ Framework
• {boxfilter} 0.1: Filter Noisy Data
• {json2aRgs} 0.3.0: Parse Parameters Inside a Docker Container
• {scAnnotate} 0.1.1: An Automated Cell Type Annotation Tool for Single-Cell RNA-Sequencing Data
• {Require} 0.2.5: Installing and Loading R Packages for Reproducible Workflows
• {tidyclust} 0.1.0: A Common API to Clustering

GitHub or Bitbucket

• parquetize - convert databases of different formats (csv, SAS, SPSS, Stata, rds, duckdb, SQLite, JSON, ndJSON) to parquet format in a same function

Updated Packages

🔍 Search on R-universe 🔍

• Version 0.13.0 of NIMBLE released
• {rtoot} 0.2.0: Collecting and Analyzing Mastodon Data - diffify
• {SmartEDA} 0.3.9: Summarize and Explore the Data - diffify
• {ggiraph} 0.8.5: Make ‘ggplot2’ Graphics Interactive - diffify
• {optimizeR} 0.2.0: Unified Framework for Numerical Optimizer - diffify
• {unifir} 0.2.3: A Unifying API for Calling the ‘Unity’ ‘3D’ Video Game Engine - diffify
• {terra} 1.6-47: Spatial Data Analysis - diffify
• {stringr} 1.5.0: Simple, Consistent Wrappers for Common String Operations - diffify
• {lemon} 0.4.6: Freshing Up your ‘ggplot2’ Plots - diffify
• {tiledb} 0.17.0: Universal Storage Engine for Sparse and Dense Multidimensional Arrays - diffify
• {infer} 1.0.4: Tidy Statistical Inference - diffify
• {moderndive} 0.5.5: Tidyverse-Friendly Introductory Linear Regression - diffify
• {rintcal} 0.5.2: Radiocarbon Calibration Curves - diffify
• {VeryLargeIntegers} 0.1.9: Store and Operate with Arbitrarily Large Integers - diffify
• {ROpenCVLite} 4.60.3: Helper Package for Installing OpenCV with R - diffify
• {paws.common} 0.5.2: Paws Low-Level Amazon Web Services API - diffify
• {this.path} 1.1.0: Get Executing Script’s Path, from ‘RStudio’, ‘Rgui’, ‘VSCode’, ‘Rscript’ (Shells Including Windows Command-Line / / Unix Terminal), and ‘source’ - diffify
• {admiraldev} 0.2.0: Development Tools for the Admiral Package Family - diffify
• {mschart} 0.4.0: Chart Generation for ‘Microsoft Word’ and ‘Microsoft PowerPoint’ Documents - diffify
• {cookies} 0.2.0: Use Browser Cookies with ‘shiny’ - diffify
• {shinylight} 1.1.2: Web Interface to ‘R’ Functions - diffify
• {rhino} 1.2.1: A Framework for Enterprise Shiny Applications - diffify
• {text2vec} 0.6.3: Modern Text Mining Framework for R - diffify
• {proj4} 1.0-12: A simple interface to the PROJ.4 cartographic projections library - diffify
• {carat} 2.1.0: Covariate-Adaptive Randomization for Clinical Trials - diffify
• {bonsai} 0.2.1: Model Wrappers for Tree-Based Models - diffify
• {tarchetypes} 0.7.3: Archetypes for Targets - diffify
• {sendmailR} 1.3-1: Send Email Using R - diffify
• {targets} 0.14.1: Dynamic Function-Oriented ‘Make’-Like Declarative Workflows - diffify
• {png} 0.1-8: Read and write PNG images - diffify
• {jpeg} 0.1-10: Read and write JPEG images - diffify
• {sassy} 1.1.0: Makes ‘R’ Easier for Everyone - diffify
• {hellorust} 1.0.1: Minimal Examples of Using Rust Code in R - diffify
• {log4r} 0.4.3: A Fast and Lightweight Logging System for R, Based on ‘log4j’ - diffify
• {katex} 1.4.1: Rendering Math to HTML, ‘MathML’, or R-Documentation Format - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

Tutorials

• How to enhance your Shiny apps with JavaScript (JS) without knowing much JS

• How to include sf data in R packages

• New Features and Serious Upgrades in {gt} 0.8.0

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

• Weekly R Workshops for Ukraine

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

• Dispyr

Good morning. This is a cubescape made with #Rstats using #ggplot2 and #SimpleFeatures #Rtistry #GenerativeArt #CreativeCoding #MastoArt

The code to create cubescapes is in this repo:https://t.co/YY14lox0LV pic.twitter.com/4V7RtpDLhA

— @[email protected] (@paezha) November 30, 2022

Heads Will Roll 01. Created in R with GGPLOT2. I've been iterating on this collection for nine months now. One million grid points, more than 3,000 shapes, and one burned out Mac laptop. #genartiveart #genartclub #wip #Rstats #rtistry #nft #creativecoding pic.twitter.com/S8eBu73kLQ

— Jeff Sheremata (@J2_GEN) November 24, 2022

Quotes of the Week

#RStats dplyr 1.1.0: Temporary grouping with .by pic.twitter.com/LjR37zoFNw

— Tokhir Dadaev (@zx8754) November 29, 2022

First public release of R Crash Course for Biologists. Link to (free) PDF or EPUB and (paid) Kindle, hard cover (colour) or paperback (B & W). Feedback is appreciated on anything from typos to full critiques. #Rstats #Biology #Bioinformaticshttps://t.co/9dUWnTY6Vf pic.twitter.com/iRba2UTli5

— Colautti Lab (@ColauttiLab) December 2, 2022

I know many folks are concerned about how verbose dplyr is for some simple problems. So please welcome minby to the tidyverse: https://t.co/0ckneFRn62 !

Now it's as easy as mtcars |> min_by(mpg, cyl), or save even more time and typing with
minby::min_mpg_by_cyl #rstats https://t.co/PNSBiNi6FM

— Hadley Wickham (@hadleywickham) December 2, 2022

dplyr 1.1.0 is coming soon!! 🎉🎉

We are so excited to introduce you to the new features we've been working on, including:
- Temporary inline grouping with `.by`
- Non-equi joins
- Faster `arrange()`

And SO much more! #rstatshttps://t.co/xk52IsibeQ

— Davis Vaughan (@dvaughan32) November 28, 2022