R Weekly 2024-W37, chart axes, custom roxygen2 tag, FAIR
This week’s release was curated by Batool Almarzouq, with help from the R Weekly team members and contributors.
Highlight
Insights
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R-Ladies Bariloche in Argentina: Fostering a Different Approach to Leadership
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Gender and sexuality in Australian surveys and census by @ellis2013nz
R in Academia
New Packages
📦 Keep up to date wtih CRANberries 📦
CRAN
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{rplanes} 0.1.0: Plausibility Analysis of Epidemiological Signals
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{mmints} 0.1.0: Workflows for Building Web Applications
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{hdar} 1.0.0: ‘REST’ API Client for Accessing Data on ‘WEkEO HDA V2’
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{ggvolcano} 0.1.3: Publication-Ready Volcano Plots
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{geoidep} 0.1.0: Download Geographic Data on Various Topics Provided and Managed by the Spatial Data Infrastructure of Peru
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{flowmapblue} 0.0.2: Flow Map Rendering
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{easybio} 1.0: Comprehensive Single-Cell Annotation and Transcriptomic Analysis Toolkit
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{SuperCell} 1.0: Simplification of scRNA-Seq Data by Merging Together Similar Cells
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{pandemics} 0.1.0: Monitoring a Developing Pandemic with Available Data
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{mlmc} 2.0.2: Multi-Level Monte Carlo
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{GeRnika} 1.0.0: Simulation, Visualization and Comparison of Tumor Evolution Data
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{fastpng} 0.1.5: Read and Write PNG Files with Configurable Decoder/Encoder Options
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{g3viz} 1.2.0: Interactively Visualize Genetic Mutation Data using a Lollipop-Diagram
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{rPDBapi} 2.1: A Comprehensive Interface for Accessing the Protein Data Bank
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{wget} 0.0.2: Setting Download Method to ‘wget’
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{AOboot} 0.1.0: Bootstrapping in Different One-Way and Two-Way ANOVA
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{pooledpeaks} 1.0.5: Genetic Analysis of Pooled Samples
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{ropenmeteo} 0.1: Wrappers for ‘Open-Meteo’ API
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{rice} 0.1.1: Radiocarbon Calibration Equations
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{QuICSeedR} 0.1.2: Analyze Data for Fluorophore-Assisted Seed Amplification Assays
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{pakret} 0.1.0: Cite ‘R’ Packages on the Fly in ‘R Markdown’ and ‘Quarto’
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{GeoThinneR} 1.0.0: Simple Spatial Thinning for Ecological and Spatial Analysis Coding Skills
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{wintime} 0.1.0: Win Time Methods for Time-to-Event Data in Clinical Trials
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{TWW} 0.0.1: Growth Models Hazards Model
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{cbbinom} 0.1.0: Continuous Analog of a Beta-Binomial Distribution
Updated Packages
{corporaexplorer} 0.9.0: A ‘Shiny’ App for Exploration of Text Collections - diffify
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{blme} 1.0-6: Bayesian Linear Mixed-Effects Models - diffify
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{kit} 0.0.19: Data Manipulation Functions Implemented in C - diffify
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{pbdZMQ} 0.3-12: Programming with Big Data – Interface to ‘ZeroMQ’ - diffify
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{salso} 0.3.41: Search Algorithms and Loss Functions for Bayesian Clustering - diffify
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{treesitter.r} 1.1.0: ‘R’ Grammar for ‘Tree-Sitter’ - diffify
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{sf} 1.0-17: Simple Features for R - diffify
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{maxstablePCA} 0.1.1: Apply a PCA Like Procedure Suited for Multivariate Extreme Value Distributions - diffify
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{MacBehaviour} 1.2.7: Behavioural Studies of Large Language Models - diffify
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{geobr} 1.9.1: Download Official Spatial Data Sets of Brazil - diffify
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{adehabitatMA} 0.3.17: Tools to Deal with Raster Maps - diffify
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{adehabitatLT} 0.3.28: Analysis of Animal Movements - diffify
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{SHELF} 1.11.0: Tools to Support the Sheffield Elicitation Framework - diffify
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{pedFamilias} 0.2.4: Import and Export ‘Familias’ Files - diffify
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{emoa} 0.5-3: Evolutionary Multiobjective Optimization Algorithms - diffify
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{caviarpd} 0.3.13: Cluster Analysis via Random Partition Distributions - diffify
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{bigsparser} 0.7.3: Sparse Matrix Format with Data on Disk - diffify
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{AFR} 0.3.6: Toolkit for Regression Analysis of Kazakhstan Banking Sector Data - diffify
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{vivainsights} 0.5.4: Analyze and Visualize Data from ‘Microsoft Viva Insights’ - diffify
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{spatialwarnings} 3.1.0: Spatial Early Warning Signals of Ecosystem Degradation - diffify
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{polle} 1.5: Policy Learning - diffify
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{outliertree} 1.10.0: Explainable Outlier Detection Through Decision Tree Conditioning - diffify
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{NNS} 10.9.2: Nonlinear Nonparametric Statistics - diffify
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{netropy} 0.2.0: Statistical Entropy Analysis of Network Data - diffify
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{NADA2} 1.1.8: Data Analysis for Censored Environmental Data - diffify
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{DrugUtilisation} 0.7.1: Summarise Patient-Level Drug Utilisation in Data Mapped to the OMOP Common Data Model - diffify
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{rPDBapi} 2.1: A Comprehensive Interface for Accessing the Protein Data Bank - diffify
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{rgplates} 0.5.0: R Interface for the GPlates Web Service and Desktop Application - diffify
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{rts2} 0.7.6: Real-Time Disease Surveillance - diffify
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{lfproQC} 0.2.0: Quality Control for Label-Free Proteomics Expression Data - diffify
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{genekitr} 1.2.8: Gene Analysis Toolkit - diffify
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{flowmapper} 0.1.2: Draw Flows (Migration, Goods, Money, Information) on ‘ggplot2’ Plots - diffify
Videos and Podcasts
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TidyX episode 186 : Gapminder camcorder - be kind and rewind
Tutorials
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Use Posit tools with data in DuckDB, Databricks, and Snowflake
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Harness the Full Potential of Case-Insensitive Searches with grep() in R
R Project Updates
Updates from R Core:
Upcoming Events in 3 Months
Events in 3 Months:
Connect
Join the Data Science Learning Community
artistry
Happy #FathersDay! 🧍🏡
— Atlas of Living Aust (@atlaslivingaust) August 31, 2024
We plotted emu occurrence data to celebrate the animal worlds’ great dads & dad figures... & stumbled on some egg-ceptional looking patterns… 🪺🗺️ #Rtistry
Male emus' both incubate & rear those little stripey babies we all know & love... all alone! 🐣 pic.twitter.com/vrde1CNyme