R Weekly 2024-W04 - Babledown, Six base R functions, and Making dashboard interactive
This week’s release was curated by Sam Parmar, with help from the R Weekly team members and contributors.
Highlight
Insights
- The new function on the block with tidyAML extract_regression_residuals()
- Exploring the Enhanced Features of tidyAML’s internal_make_wflw_predictions()
- Using .drop_na in Fast Classification and Regression
- Exploring the Power of tidyAML 0.0.4: Unleashing New Features and Enhancements
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TidyDensity Powers Up with Data.table: Speedier Distributions for Your Data Exploration
- Pseudo-apps in the browser with WebR and Quarto?
R in the Real World
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rsi is now on CRAN: Your one-stop shop for spatial ML data retrieval and pre-processing.
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Satellite Data with R: Unveiling Earth’s Surface Using the ICESat2R Package
R in Organizations
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From Vision to Action: Pfizer’s R Adoption Odyssey – Join the Webinar on February 8, 2024
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Revolutionizing Patient Data Analysis: Boston Medical Center’s Journey with Machine Learning
New Packages
CRAN
- {rworkflows} 1.0.1: Test, Document, Containerise, and Deploy R Packages
- {yyjsonr} 0.1.16: Fast JSON Parser and Generator
- {dfmirroR} 2.0.0: Simulate a Data Frame Mirroring an Input and Produce Shareable Simulation Code
- {scientific} 2024.0: Elegant Scientific Themed Reporting for ‘Markdown’
- {r2fireworks} 0.1.0: Enhance Your ‘Rmarkdown’ and ‘shiny’ Apps with Dazzling Fireworks Celebrations
- {parcr} 0.5.0: Construct Parsers for Structured Text Files
- {baseballr} 1.6.0: Acquiring and Analyzing Baseball Data
- {oaii} 0.1.9: ‘OpenAI’ API R Interface
- {bscui} 0.1.2: Build SVG Custom User Interface
- {tidyplate} 1.0.0: Transform Microplate Data into Tidy Dataframes
- {tidyMC} 1.0.0: Monte Carlo Simulations Made Easy and Tidy Outcome
- {rsi} 0.1.1: Efficiently Retrieve and Process Satellite Imagery
- {drugdevelopR} 1.0.1: Utility-Based Optimal Phase II/III Drug Development Planning Validation
Updated Packages
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port4me 0.7.0: Get the Same, Personal, Free TCP Port over and over
- RcppSpdlog 0.0.16 on CRAN: New Upstream
- {procs} 1.0.5: Recreates Some ‘SAS®’ Procedures in ‘R’ - diffify
- {usmap} 0.7.0: US Maps Including Alaska and Hawaii - diffify
- {blavaan} 0.5-3: Bayesian Latent Variable Analysis - diffify
- {yardstick} 1.3.0: Tidy Characterizations of Model Performance - diffify
- {pathfindR} 2.3.1: Enrichment Analysis Utilizing Active Subnetworks - diffify
- {arkhe} 1.5.0: Tools for Cleaning Rectangular Data - diffify
- {crandep} 0.3.5: Network Analysis of Dependencies of CRAN Packages - diffify
- {rgho} 3.0.2: Access WHO Global Health Observatory Data from R - diffify
- {unrtf} 1.4.4: Extract Text from Rich Text Format (RTF) Documents - diffify
- {antiword} 1.3.2: Extract Text from Microsoft Word Documents - diffify
- {googletraffic} 0.1.5: Google Traffic - diffify
- {GenAI} 0.1.15: Generative Artificial Intelligence - diffify
- {asciicast} 2.3.1: Create ‘Ascii’ Screen Casts from R Scripts - diffify
- {gt} 0.10.1: Easily Create Presentation-Ready Display Tables - diffify
- {excel.link} 0.9.12: Convenient Data Exchange with Microsoft Excel - diffify
- {hexFinder} 0.8.2: Find Hex Logos for CRAN Packages - diffify
- {shiny.semantic} 0.5.0: Semantic UI Support for Shiny - diffify
- {parsermd} 0.1.3: Formal Parser and Related Tools for R Markdown Documents - diffify
- {withr} 3.0.0: Run Code ‘With’ Temporarily Modified Global State - diffify
- {fabricatr} 1.0.2: Imagine Your Data Before You Collect It - diffify
- {pkgload} 1.3.4: Simulate Package Installation and Attach - diffify
- {optparse} 1.7.4: Command Line Option Parser - diffify
- {ggquickeda} 0.3.1: Quickly Explore Your Data Using ‘ggplot2’ and ‘table1’ Summary Tables - diffify
Call for Participation
Videos and Podcasts
R Internationally
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Rebooting the Warsaw R Community in 2024: Insights from Kamil Sijko’s Journey and Future Aspirations
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Announcing shiny.semantic 0.5.0: Enhanced Features for Your Shiny Applications
Tutorials
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
Jobs
💼 Explore Jobs & Gigs Board on RStudio Community 💼
rtistry
Population density of Switzerland revisited. Worth doing this for other countries? Or am I all tapped out? Feels like I am. Maybe it's the cold dulling my mind and mood. Maybe I've hit my limits. #rayshader adventures, an #rstats tale pic.twitter.com/pV4KUQEWG0
— tterence on bsky (@researchremora) January 19, 2024
The making of last week's #TidyTuesday plots - recorded using {camcorder} in #RStats! 📹📹 https://t.co/KSTNWFpzt7 pic.twitter.com/eOnle8qxfl
— Nicola Rennie | @[email protected] (@nrennie35) January 17, 2024
Quotes of the Week
✨ Sneak Peek Alert ✨ The next version of the {quarto-webr} extension ushers in a revamp of non-interactive areas to improve on-device data science tasks! 📊https://t.co/5083JqdUu0#quarto #webr #rstats pic.twitter.com/1WknBtw2u5
— James Balamuta (@axiomsofxyz) January 18, 2024