R Weekly 2025-W01 Bluesky, colours in R and Azure OpenAI
Happy New Year! Welcome to our first issue of 2025. This week’s content was curated by Batool Almarzouq, with support from our amazing R Weekly team members and contributors. Happy reading!
Highlight
Insights
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Bluesky conversation analysis with local and frontier LLMs with R/Tidyverse.
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Strategic Investment Analysis: Key Questions Generated by DoTadda’s Knowledge Platform
R in the Real World
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Infodemiology & Health Insights: Analyzing Trends in Back Pain using R & Google Trends data
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What region is Pittsburgh in? Unsupervised learning with spatially constrained clustering.
R in Academia
Resources
New Packages
📦 Keep up to date wtih CRANberries 📦
CRAN
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{CMHSU} 0.0.6.9: Mental Health Status, Substance Use Status and their Concurrent Status in North American Healthcare Administrative Databases
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{BerkeleyForestsAnalytics} 2.0.4: Compute and Summarize Core Forest Metrics from Field Data
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{S4DM} 0.0.1: Small Sample Size Species Distribution Modeling
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{linevis} 1.0.0: Interactive Time Series Visualizations
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{geneviewer} 0.1.10: Gene Cluster Visualizations
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{jetty} 0.1.0: Execute R in a ‘Docker’ Context
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{ColombiAPI} 0.1.0: Access Colombia’s Public Data via ‘API-Colombia’
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{collett} 0.1.0: Datasets from “Modelling Survival Data in Medical Research” by Collett
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{pacta.multi.loanbook} 0.1.1: Run ‘PACTA’ on Multiple Loan Books Easily
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{ellmer} 0.1.0: Chat with Large Language Models
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{drone} 1.0.0: Data for Data Visualisation Geometries Encyclopedia
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{tidyprompt} 0.0.1: Prompt Large Language Models and Enhance Their Functionality
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{epiparameter} 0.4.0: Classes and Helper Functions for Working with Epidemiological Parameters
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{Certara.RsNLME.ModelExecutor} 3.0.1: Execute Pharmacometric Models Using ‘shiny’
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{ritalic} 0.10.1: Interface to the ITALIC Database of Lichen Biodiversity
GitHub or Bitbucket
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{th2analytics} 0.0.1 thaink² analytics SDK forecasting as a service
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{mapmetadata} 3.0.0: Mapping from variables to concepts
Updated Packages
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Another season, another release. {survivoR} v2.3.5 now on CRAN
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{makepipe} 0.2.2: Pipeline Tools Inspired by ‘GNU Make’ - NEWS, - diffify
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{ggiraph} 0.8.12: Make ‘ggplot2’ Graphics Interactive - diffify
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{BioVizSeq} 1.0.1: Visualizing the Elements Within Bio-Sequences - diffify
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{cnum} 0.1.4: Chinese Numerals Processing - diffify
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{tabula} 3.2.0: Analysis and Visualization of Archaeological Count Data - diffify
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{DEPONS2R} 1.2.5: Read, Plot and Analyse Output from the DEPONS Model - diffify
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{syllogi} 1.0.4: Collection of Data Sets for Teaching Purposes - diffify
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{rgoogleads} 0.12.0: Loading Data from ‘Google Ads API’ - diffify
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{onemap} 3.2.0: Construction of Genetic Maps in Experimental Crosses - diffify
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{khroma} 1.15.0: Colour Schemes for Scientific Data Visualization - diffify
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{forestly} 0.1.2: Interactive Forest Plot - diffify
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{ruminate} 0.3.1: A Pharmacometrics Data Transformation and Analysis Tool - diffify
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{BiodiversityR} 2.17-1: Package for Community Ecology and Suitability Analysis - diffify
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{datawizard} 1.0.0: Easy Data Wrangling and Statistical Transformations - diffify
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{rix} 0.14.3: Reproducible Data Science Environments with ‘Nix’ - diffify
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{rtables} 0.6.11: Reporting Tables - diffify
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{collapse} 2.0.19: Advanced and Fast Data Transformation - diffify
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{plotthis} 0.5.0: High-Level Plotting Built Upon ‘ggplot2’ and Other Plotting Packages - diffify
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{colourvision} 2.1.0: Colour Vision Models - diffify
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{dpkg} 0.6.1: Create, Stow, and Read Data Packages - diffify
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{plotmm} 0.1.2: Tidy Tools for Visualizing Mixture Models - diffify
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{ggspectra} 0.3.15: Extensions to ‘ggplot2’ for Radiation Spectra - diffify
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{jsmodule} 1.6.1: ‘RStudio’ Addins and ‘Shiny’ Modules for Medical Research - diffify
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{jskm} 0.5.8: Kaplan-Meier Plot with ‘ggplot2’ - diffify
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{tidyterra} 0.6.2: ‘tidyverse’ Methods and ‘ggplot2’ Helpers for ‘terra’ Objects - diffify
- {ggbreak} 0.1.3: Set Axis Break for ‘ggplot2’ - diffify
Videos and Podcasts
R Internationally
Tutorials
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Setting values in R6 classes, and testing with shiny::MockShinySession
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Setting values in R6 classes, and testing with shiny::MockShinySession
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How to Create an Empty Data Frame in R: A Comprehensive Guide with Examples
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How to Remove Rows with Any Zeros in R: A Complete Guide with Examples
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How to Transpose Data Frames in R: Complete Guide with Examples
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Reflecting on the Past Year: A LinkedIn Year in Review (2024)
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Comprehensive Guide to Arcsine Transformation in R with Examples
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
Connect
Join the Data Science Learning Community
rtistry
Day 6 of #genuary, Make a landscape using only primitive shapes#Rstats code: https://t.co/gXP1HZ8hOW#genuary6 #genart pic.twitter.com/b5esNUjoXv
— Georgios Karamanis (@geokaramanis) January 7, 2025
Today's artwork generated with #rstats and #ggplot2: pic.twitter.com/yFney62N6L
— aRtsy package (@aRtsy_package) January 13, 2025
Quotes of the Week
Please, if you have an idea for a package, just write it and publish it on CRAN. The availability of high quality packages are one of #RStats greatest strengths, just package stuff please pic.twitter.com/dY3JhKdDUr
— Bruno Rodrigues (@[email protected]) (@brodriguesco) January 10, 2025
12 years. RIP my darling boy. pic.twitter.com/RFLpiwPqLP
— Susan Swartz (@beadmomsw) January 11, 2025
08.01.2025 📅
— Hanwool Park (@hanwoolpark2426) January 8, 2025
Today’s Quote:
“It always seems impossible until it's done.” — Nelson Mandela pic.twitter.com/UMS6Q3yCPE