R Weekly 2024-W06 - Teaching, renv, parquet vs. RDS

05 Feb 2024

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

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

Highlight

• Teaching you - teaching me
• Things that can go wrong when using renv
• Parquet vs the RDS Format

Insights

• Reproducible data science with Nix, part 9 – rix is looking for testers!
• Things that can go wrong when using renv
• 2024 RUGS Program Progress: Reviewing Grants and Empowering R Communities
• The source of the cake dataset
• Teaching you - teaching me
• rOpenSci News Digest, January 2024
• New release and governance documents for {data.table}

R in the Real World

• R for the Real World: Counting those Business Days like a Pro!
• WhatsR – An R-Package for processing exported WhatsApp Chat Logs

R in Organizations

• Webinar for R and Databases!  How Oracle Machine Learning for R Helps with ML and Massive Datasets
• Natalia Andriychuk on RUGs, Pfizer R Center of Excellence, and Open Source Projects: Fostering R Communities Inside and Out

Resources

• How to create some of the exotic types? - StackOverFlow

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {secretbase} 0.2.0: Cryptographic Hash and Extendable-Output Functions
• {ggfacto} 0.2.3: Graphs for Correspondence Analysis
• {CodelistGenerator} 2.2.0: Identify Relevant Clinical Codes and Evaluate Their Use
• {unigd} 0.1.0: Universal Graphics Device
• {SNVLFDR} 1.0.1: Empirical Bayes Single Nucleotide Variant Calling
• {CDCPLACES} 1.1.4: Access the ‘CDC PLACES’ API
• {lightparser} 0.1.0: From ‘Rmarkdown’ and ‘Quarto’ Files to Tibble and Back
• {dtComb} 1.0.2: Statistical Combination of Diagnostic Tests
• {causalBatch} 1.0: Causal Batch Effects
• {texPreview} 2.1.0: Compile and Preview Snippets of ‘LaTeX’
• {bSi} 1.0.0: Modeling and Computing Biogenic Silica (‘bSi’) from Inland and Pelagic Sediments
• {nn2poly} 0.1.1: Neural Network Weights Transformation into Polynomial Coefficients
• {kisopenapi} 0.0.2: Korea Investment & Securities (KIS) Open Trading API
• {goweragreement} 1.0: Bayesian Gower Agreement for Categorical Data
• {ggfields} 0.0.3: Add Vector Field Layers to Ggplots

Updated Packages

• {data.table} 1.15.0: Extension of ‘data.frame’ - diffify
• {DiagrammeR} 1.0.11: Graph/Network Visualization - diffify
• {ympes} 1.0.0: Collection of Helper Functions - diffify
• {qcpm} 0.3: Quantile Composite Path Modeling - diffify
• {freesurferformats} 0.1.18: Read and Write ‘FreeSurfer’ Neuroimaging File Formats - diffify
• {rllama} 0.4.4: Access and Analyze Data from ‘DeFiLlama’ - diffify
• {pkgfilecache} 0.1.5: Download and Manage Optional Package Data - diffify
• {gasmodel} 0.6.0: Generalized Autoregressive Score Models - diffify
• {devEMF} 4.4-2: EMF Graphics Output Device - diffify
• {aws} 2.5-4: Adaptive Weights Smoothing - diffify
• {greta} 0.4.4: Simple and Scalable Statistical Modelling in R - diffify
• {CVXR} 1.0-12: Disciplined Convex Optimization - diffify
• {RQuantLib} 0.4.21: R Interface to the ‘QuantLib’ Library - diffify
• {rapsimng} 0.4.4: APSIM Next Generation - diffify
• {fGarch} 4032.91: Rmetrics - Autoregressive Conditional Heteroskedastic Modelling - diffify
• {dittoViz} 1.0.1: User Friendly Data Visualization - diffify
• {tidygraph} 1.3.1: A Tidy API for Graph Manipulation - diffify
• {repana} 2.1.0: Repeatable Analysis in R - diffify
• {unrtf} 1.4.5: Extract Text from Rich Text Format (RTF) Documents - diffify
• {commonmark} 1.9.1: High Performance CommonMark and Github Markdown Rendering in R - diffify

🔍 Search on R-universe 🔍

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast
• How to Avoid These Common Mistakes with {ggplot2} - A Step-by-Step Tutorial
• How to Use Dropdown Menus in Tables With R - Step-By-Step Tutorial
• How to Create Maps With Patterns in ggplot2 - A Step-By-Step Tutorial

Tutorials

• Combining maps and patterns with {ggplot2}
• Interactive filters in tables with reactable
• 6 Common ggplot2 Mistakes
• Piping with {data.table}
• Parquet vs the RDS Format
• Remove Specific Row in R: How to & Examples with dplyr
• Playing with webr
• Extract raster values to points with bilinear interpolation
• Binary logistic regression in R
• Time Flies? Time Travels! Adding Days to Dates in R (Like a Pro)
• You tidyr::complete() me
• Combining multiple species distributions on one map with hexagons and points

R Project Updates

Updates from R Core:

R Contributor Office Hours, Thursday February 8: 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:

• February 8th, 2024: “High-productivity data frame operations with data.table” by Jan Gorecki at SevillaR (online registration)

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

• Events at Jumping Rivers 2024

• (February 13th, 2024) Training Ground Guru: R Masterclass with Harsh Krishna

• (February 21, 2024) Forecasting with Generalised Additive Models (GAMs) in R

Grants & Funding

• Apply for the {data.table} ambassador travel grant

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Mount Fuji.#rayshader #plotter adventures, an #rstats tale pic.twitter.com/Mg49pKUtY1

— tterence on bsky (@researchremora) January 24, 2024

Inspired and made possible by @nrennie35, here's a typewriter elevation map of Japan. The characters to indicate increasing elevation are: 地, 低, 中, 高, and 峰.#ggplot2 adventures, an #rstats tale pic.twitter.com/fHFw1H8g2z

— tterence on bsky (@researchremora) January 26, 2024

Quotes of the Week

One of my favorite #rstats interactive mapping tricks: using the `|` operator in mapview to create a swipe map.

Here - showing the results of the `erase_water()` function in the Seattle area! pic.twitter.com/sBf0ktZEx4

— Kyle Walker (@kyle_e_walker) January 25, 2024

Restructuring your longitudinal data from long to wide OR wide to long format is a fairly painless process in #rstats, especially when you consistently name your variables using controlled vocabulary. 🌟
Full script here: https://t.co/aQBGKBmzI7 pic.twitter.com/IzU202FL7M

— Crystal Lewis (@Cghlewis) February 1, 2024

Say want you want about the #tidyverse, nothing beats its expressiveness! #RStats pic.twitter.com/nUA8fUV6wj

— Bruno Rodrigues (@[email protected]) (@brodriguesco) January 31, 2024