R Weekly 2024-W17 volcano plots, box, duckplyr

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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 Jonathan Carroll, with help from the RWeekly team members and contributors.

Highlight

• Interactive volcano plots with the ggiraph R package

• Modular R code for analytical projects with {box}

• Kicking tyres

Insights

• Querying JSON files with AWS Athena and the noctua R package
• Interactive volcano plots with the ggiraph R package

• Navigating the Data Pipes: An R Programming Journey with Mario Bros.
• PowerQuery Puzzle solved with R
• Jack polynomials with symbolic parameter
• 3MW (Hosting HTML files)
• Modular R code for analytical projects with {box}
• KNN vs. XGBoost Rivalry: Women Employment in Management
• Simulation to understand two kinds of measurement error in regression
• Asset Allocation
• Parameter Constraints & Significance
• Risk/Reward Tradeoff
• Model Validation
• Parameter Significance & Parsimonious Models
• Leverage Effect
• Skewed Returns
• What is a GARCH Model?
• A Guide to Removing Multiple Rows in R Using Base R
• Mastering Rows: Selecting by Index in R
• Estimating Chi-Square Distribution Parameters Using R
• Selecting Rows with Specific Values: Exploring Options in R
• A Guide to Selecting Rows with NA Values in R Using Base R
• Extracting the Last N’th Row in R Data Frames
• Checking Row Existence Across Data Frames in R
• Masterclass: Data Cleaning with R
• R Highcharts Drilldown - How to Create Animated and Interactive Drilldown Charts in R

• Why Attending ShinyConf 2024 Can Be a Game Changer for Your Career
• Kicking tyres

R Users

• Navigating R’s Impact in Vienna: Insights from the Finance and Pharmaceutical Sectors
• Building Data Highways: Kirill Müller’s Journey in Enhancing R’s Database

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {sqltargets} - targets extension for standalone SQL files.
• {bagyo} 0.1.1: Philippine Tropical Cyclones Data (post)
• {RbyExample} 0.0.100: Data for the Book “R by Example”
• {login} 0.9.3: ‘shiny’ Login Module
• {geonode4R} 0.1: Interface to ‘GeoNode’ REST API
• {xlcharts} 0.0.1: Create Native ‘Excel’ Charts and Work with Microsoft ‘Excel’ Files
• {future.mirai} 0.2.0: A ‘Future’ API for Parallel Processing using ‘mirai’
• {ipeaplot} 0.3.1: Add Ipea Editorial Standards to ‘ggplot2’ Graphics
• {sentopics} 0.7.3: Tools for Joint Sentiment and Topic Analysis of Textual Data
• {filters} 0.3.1: A “Snake_case” Filter System for R
• {DataPackageR} 0.15.9: Construct Reproducible Analytic Data Sets as R Packages
• {Paris2024Colours} 0.1.2: Color Palettes Inspired by Paris 2024 Olympic and Paralympic Games
• {cardinalR} 0.1.1: Collection of Data Structures
• {mapmisc} 2.1.0: Utilities for Producing Maps
• {reproducible} 2.0.12: Enhance Reproducibility of R Code
• {zendown} 0.0.2: Access Files from ‘Zenodo’ Deposits
• {ElevDistr} 1.0.8: Calculate the Distance to the Nearest Local Treeline
• {relcircle} 1.0: Draw Regulatory Relationships Between Genes
• {heck} 0.1.0: Highly Performant String Case Converter
• {smplot2} 0.2.0: Creating and Annotating a Composite Plot in ‘ggplot2’
• {WayFindR} 0.1.2: Computing Graph Structures on WikiPathways

GitHub or Bitbucket

• {rrr}

Updated Packages

🔍 Search on R-universe 🔍

• gssr is now two packages: gssr and gssrdoc
• {RcppArmadillo} 0.12.8.2.1: ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library - diffify (post)
• {tune} 1.2.1: Tidy Tuning Tools - diffify (post)
• {savvy} 0.6.0
• {tidypolars} 0.7.0
• {Factoshiny} 2.6: Perform Factorial Analysis from ‘FactoMineR’ with a Shiny Application - diffify
• {FactoMineR} 2.10: Multivariate Exploratory Data Analysis and Data Mining - diffify
• {dbparser} 2.0.3: Drugs Databases Parser - diffify
• {keras} 2.15.0: R Interface to ‘Keras’ - diffify
• {protr} 1.7-1: Generating Various Numerical Representation Schemes for Protein Sequences - diffify
• {tourr} 1.2.0: Tour Methods for Multivariate Data Visualisation - diffify
• {tfruns} 1.5.3: Training Run Tools for ‘TensorFlow’ - diffify
• {redcapAPI} 2.9.0: Interface to ‘REDCap’ - diffify
• {neuralGAM} 1.1.1: Interpretable Neural Network Based on Generalized Additive Models - diffify
• {censored} 0.3.1: ‘parsnip’ Engines for Survival Models - diffify
• {listarrays} 0.4.0: A Toolbox for Working with R Arrays in a Functional Programming Style - diffify
• {envir} 0.3.0: Manage R Environments Better - diffify
• {commafree} 0.2.0: Call Functions Without Commas Between Arguments - diffify
• {hdf5r.Extra} 0.0.6: Extensions for ‘HDF5’ R Interfaces - diffify
• {pkgdown} 2.0.9: Make Static HTML Documentation for a Package - diffify
• {felp} 0.5.0: Functional Help for Functions, Objects, and Packages - diffify
• {keras3} 0.2.0: R Interface to ‘Keras’ - diffify+ {explainer} 1.0.1: Machine Learning Model Explainer - diffify
• {adbcsqlite} 0.11.0.1: ‘Arrow’ Database Connectivity (‘ADBC’) ‘SQLite’ Driver - diffify
• {targets} 1.7.0: Dynamic Function-Oriented ‘Make’-Like Declarative Pipelines - diffify
• {tarchetypes} 0.9.0: Archetypes for Targets - diffify
• {shinyWidgets} 0.8.5: Custom Inputs Widgets for Shiny - diffify
• {tern} 0.9.4: Create Common TLGs Used in Clinical Trials - diffify
• {ggfortify} 0.4.17: Data Visualization Tools for Statistical Analysis Results - diffify
• {sassy} 1.2.4: Makes ‘R’ Easier for Everyone - diffify
• {optparse} 1.7.5: Command Line Option Parser - diffify
• {tuneR} 1.4.7: Analysis of Music and Speech - diffify
• {lme4} 1.1-35.3: Linear Mixed-Effects Models using ‘Eigen’ and S4 - diffify
• {tiledb} 0.26.0: Modern Database Engine for Complex Data Based on Multi-Dimensional Arrays - diffify
• {tensorflow} 2.16.0: R Interface to ‘TensorFlow’ - diffify
• {explore} 1.3.0: Simplifies Exploratory Data Analysis - diffify
• {bookdown} 0.39: Authoring Books and Technical Documents with R Markdown - diffify
• {Rd2roxygen} 1.16: Convert Rd to ‘Roxygen’ Documentation - diffify
• {rtables} 0.6.7: Reporting Tables - diffify
• {rlistings} 0.2.8: Clinical Trial Style Data Readout Listings - diffify
• {ggeffects} 1.5.2: Create Tidy Data Frames of Marginal Effects for ‘ggplot’ from Model Outputs - diffify
• {tidyfst} 1.7.8: Tidy Verbs for Fast Data Manipulation - diffify
• {reticulate} 1.36.0: Interface to ‘Python’ - diffify
• {testthat} 3.2.1.1: Unit Testing for R - diffify
• {fanyi} 0.0.7: Translate Words or Sentences via Online Translators - diffify
• {collapse} 2.0.13: Advanced and Fast Data Transformation - diffify
• {marginaleffects} 0.19.0: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

R Internationally

• Repräsentativität, Stichprobe und Grundgesamtheit 🇩🇪

Tutorials

• simstudy enhancement: specifying idiosyncratic follow-up times for longitudinal data

R Project Updates

Updates from R Core:

Call for Participation

• R Package Logo Design Contest

• Announcing the 2024 Table Contest

Upcoming Events in 3 Months

Events in 3 Months:

• Decade of Data: Celebrating 10 Years of Innovation at the New York R Conference

• Optimal policy learning based on causal machine learning in R workshop

• Unlocking Financial Insights: Join Us at the R Finance Conference

• R/Medicine Coming June 10-14, 2024 – Call for Abstracts Open – Keynotes Announced

• Workshops at posit::conf(2024)

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

• SatRdays London 2024: Registration Closing Soon

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

Quotes of the Week

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