R Weekly 2024-W34 Git Merge, Community, Quarto Templates
This week’s release was curated by Eric Nantz, with help from the R Weekly team members and contributors.
Highlight
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Please let me merge before I start crying and other things I’ve said at the Git terminal
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A New R Community in Ahmedabad, India, focused on Clinical Research and Pharmaceutical Industries
Insights
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Creating a sustainable open-source ecosystem: Lessons from an NSF Grant and the
#rstats
hashtag -
From idea to code to image: Creative data visualizations in R
R in the Real World
R in Academia
Resources
New Packages
📦 Keep up to date wtih CRANberries 📦
CRAN
CRAN submission will be offline from Aug 1, 2024 to Aug 16, 2024 (CRAN team vacation and maintenance work)
Updated Packages
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{VeccTMVN} 1.0.0: Multivariate Normal Probabilities using Vecchia Approximation - diffify
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{tm.plugin.mail} 0.3-0: Text Mining E-Mail Plug-in - diffify
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{overtureR} 0.2.1: Load ‘Overture’ Datasets as ‘dbplyr’ and ‘sf’-Ready Data Frames - diffify
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{metajam} 0.3.1: Easily Download Data and Metadata from ‘DataONE’ - diffify
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{icosa} 0.11.1: Global Triangular and Penta-Hexagonal Grids Based on Tessellated Icosahedra - diffify
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{cba} 0.2-25: Clustering for Business Analytics - diffify
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{bimets} 4.0.2: Time Series and Econometric Modeling - diffify
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{survobj} 3.1.1: Objects to Simulate Survival Times - diffify
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{qualtRics} 3.2.1: Download ‘Qualtrics’ Survey Data - diffify
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{solvebio} 2.15.0: The Official SolveBio API Client - diffify
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{regressinator} 0.2.0: Simulate and Diagnose (Generalized) Linear Models - diffify
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{nestedcv} 0.7.10: Nested Cross-Validation with ‘glmnet’ and ‘caret’ - diffify
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{lingtypology} 1.1.18: Linguistic Typology and Mapping - diffify
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{unittest} 1.7-0: TAP-Compliant Unit Testing - diffify
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{StepReg} 1.5.2: Stepwise Regression Analysis - diffify
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{serpstatr} 0.3.0: ‘Serpstat’ API Wrapper - diffify
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{fluidsynth} 1.0.1: Read and Play Digital Music (MIDI) - diffify
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{convevol} 2.2.1: Analysis of Convergent Evolution - diffify
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{fastDummies} 1.7.4: Fast Creation of Dummy (Binary) Columns and Rows from Categorical Variables - diffify
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{SISIR} 0.2.3: Select Intervals Suited for Functional Regression - diffify
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{MethEvolSIM} 0.1.5: Simulate DNA Methylation Dynamics on Different Genomic Structures along Genealogies - diffify
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{jqr} 1.3.4: Client for ‘jq’, a ‘JSON’ Processor - diffify
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{V8} 5.0.0: Embedded JavaScript and WebAssembly Engine for R - diffify
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{proteomicsCV} 0.3.0: Calculates the Percentage CV for Mass Spectrometry-Based Proteomics Data - diffify
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{gpindex} 0.6.2: Generalized Price and Quantity Indexes - diffify
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{ghapps} 1.1.0: Authenticate as a ‘GitHub’ App - diffify
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{ecoreg} 0.2.5: Ecological Regression using Aggregate and Individual Data - diffify
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{poweRbal} 0.0.1.1: Phylogenetic Tree Models and the Power of Tree Shape Statistics - diffify
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{klassR} 0.2.4: Classifications and Codelists for Statistics Norway - diffify
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{insight} 0.20.3: Easy Access to Model Information for Various Model Objects - diffify
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{av} 0.9.1: Working with Audio and Video in R - diffify
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{PriceIndices} 0.2.0: Calculating Bilateral and Multilateral Price Indexes - diffify
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{incubate} 1.3.0: Parametric Time-to-Event Analysis with Variable Incubation Phases - diffify
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{AATtools} 0.0.3: Reliability and Scoring Routines for the Approach-Avoidance Task - diffify
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{rapidsplithalf} 0.3: A Fast Split-Half Reliability Algorithm - diffify
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{gasfluxes} 0.7: Greenhouse Gas Flux Calculation from Chamber Measurements - diffify
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{RcppEigen} 0.3.4.0.1: ‘Rcpp’ Integration for the ‘Eigen’ Templated Linear Algebra Library - diffify
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{nlme} 3.1-166: Linear and Nonlinear Mixed Effects Models - diffify
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{topicmodels} 0.2-17: Topic Models - diffify
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{kernlab} 0.9-33: Kernel-Based Machine Learning Lab - diffify
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{tm} 0.7-14: Text Mining Package - diffify
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{tseries} 0.10-57: Time Series Analysis and Computational Finance - diffify
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{Rpoppler} 0.1-3: PDF Tools Based on Poppler - diffify
Videos and Podcasts
Shiny Apps
R Internationally
Tutorials
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Report Design in R: Small tweaks that make a big difference
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Mastering Matrix Concatenation in R: A Guide to rbind() and cbind()
R Project Updates
Updates from R Core:
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