R Weekly 2023-W33 install.packages(), C code in R, refugees

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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 Ryo Nakagawara, with help from the R Weekly team members and contributors.

Highlight

• She issued install.packages() – you won’t believe what happened next!

• Wrapping C Code in an R Package

• How to use UNHCR’s {refugees} R package

Insights

• A long digression about the word ‘vector’

• She issued install.packages() – you won’t believe what happened next!

• New Executive Director Position Created at R Consortium

R in the Real World

• readODS 2.0.0

• Model life tables

R in Organizations

• How to use UNHCR’s {refugees} R package

R in Academia

• Enrollments open: An Introduction to R for Policy Analysis

• Multi-step Estimators and Shrinkage Effect in Time Series Models

• ggcoverage: an R package to visualize and annotate genome coverage for various NGS data

Resources

• Telling Stories with Data

• R for Ecology: Online courses and resources on learning R for ecology

• Tutorials for Tidy Modeling with R

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {regressinator} 0.1.2: Simulate and Diagnose (Generalized) Linear Models
• {ecoregime} 0.1.2: Analysis of Ecological Dynamic Regimes
• {HealthCal} 0.1.0: Health Calculator
• {chatAI4R} 0.0.11: Chat-Based Interactive Artificial Intelligence for R
• {CFtime} 1.0.0: Using CF-Compliant Calendars with Climate Projection Data
• {instantiate} 0.0.2: Pre-Compiled ‘CmdStan’ Models in R Packages
• {DRquality} 0.2.0: Quality Measurements for Dimensionality Reduction
• {binomCI} 1.0: Confidence Intervals for a Binomial Proportion
• {ineptR} 0.1.0: Wrapper for Statistics Portugal API
• {windows.pls} 0.1.0: Segmentation Approaches in Chemometrics
• {duckdbfs} 0.0.1: High Performance Remote File System Access Using ‘duckdb’
• {rprofile} 0.2.0: Load Both User-Global and Project-Specific R Profile Configurations
• {s3} 1.0.0: Download Files from ‘AWS S3’
• {suggests} 0.1.0: Declare when Suggested Packages are Needed

GitHub or Bitbucket

• {duckdbfs} 0.0.1: Simple wrappers for duckdb to open local and remote filesystems.
• {geocausal} 0.1.0: Causal inference with spatio-temporal data in R.

Updated Packages

🔍 Search on R-universe 🔍

• {nanonext} 0.9.2: NNG (Nanomsg Next Gen) Lightweight Messaging Library
• {mirai.promises} 0.1.2: Make ‘Mirai’ ‘Promises’
• {ichimoku} 1.4.7: Visualization and Tools for Ichimoku Kinko Hyo Strategies
• {GFM} 1.2.1: Generalized Factor Model - diffify
• {stars} 0.6-3: Spatiotemporal Arrays, Raster and Vector Data Cubes - diffify
• {options} 0.0.2: Simple mechanisms for defining and interpreting package options. Provides helpers for interpreting environment variables, global options, defining default values and more. - diffify
• {recipes} 1.0.7: Preprocessing and Feature Engineering Steps for Modeling - diffify
• {osmextract} 0.5.0: Download and Import Open Street Map Data Extracts - diffify
• {htmltools} 0.5.6: Tools for HTML - diffify
• {progressr} 0.14.0: An Inclusive, Unifying API for Progress Updates - diffify
• {targets} 1.2.2: Dynamic Function-Oriented ‘Make’-Like Declarative Pipelines - diffify
• {renv} 1.0.1: Project Environments - diffify
• {promises} 1.2.1: Abstractions for Promise-Based Asynchronous Programming - diffify
• {reticulate} 1.31: Interface to ‘Python’ - diffify
• {readODS} 2.0.0: Read and Write ODS Files - diffify
• {RcppArmadillo} 0.12.6.1.0: ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library - diffify
• {purrr} 1.0.2: Functional Programming Tools - diffify
• {igraph} 1.5.1: Network Analysis and Visualization - diffify
• {gmapsdistance} 4.0.4: Distance and Travel Time Between Two Points from Google Maps - diffify
• {glmnetr} 0.3-1: Nested Cross Validation for the Relaxed Lasso and Other Machine Learning Models - diffify
• {jskm} 0.5.2: Kaplan-Meier Plot with ‘ggplot2’ - diffify
• {HistData} 0.9-1: Data Sets from the History of Statistics and Data Visualization - diffify
• {ggplotify} 0.1.2: Convert Plot to ‘grob’ or ‘ggplot’ Object - diffify
• {ggfun} 0.1.2: Miscellaneous Functions for ‘ggplot2’ - diffify
• {finnts} 0.3.0: Microsoft Finance Time Series Forecasting Framework - diffify
• {dfoliatR} 0.3.0: Detection and Analysis of Insect Defoliation Signals in Tree Rings - diffify
• {bayesPop} 10.0-1: Probabilistic Population Projection - diffify
• {aplot} 0.2.0: Decorate a ‘ggplot’ with Associated Information - diffify
• {tinytex} 0.46: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents - diffify
• {bookdown} 0.35: Authoring Books and Technical Documents with R Markdown - diffify
• {canvasXpress} 1.45.4: Visualization Package for CanvasXpress in R - diffify
• {bruceR} 2023.8: Broadly Useful Convenient and Efficient R Functions - diffify
• {av} 0.8.4: Working with Audio and Video in R - diffify
• {yahoofinancer} 0.2.0: Fetch Data from Yahoo Finance API - diffify
• {text} 1.0: Analyses of Text using Transformers Models from HuggingFace, Natural Language Processing and Machine Learning - diffify
• {nlme} 3.1-163: Linear and Nonlinear Mixed Effects Models - diffify
• {modeldata} 1.2.0: Data Sets Useful for Modeling Examples - diffify
• {rsleep} 1.0.8: Analysis of Sleep Data - diffify
• {h2o} 3.42.0.2: R Interface for the ‘H2O’ Scalable Machine Learning Platform - diffify
• {pkgndep} 1.99.2: Analyze Dependency Heaviness of R Packages - diffify
• {scorecard} 0.4.3: Credit Risk Scorecard - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Reproducible R development environments with Nix

• How to Create Your Own Table Theme with the gt Package

• How to automatically crop images using R (“autocrop” / “smart crop” tutorial)

Tutorials

• Land to water surface ratios in U.S. states

• What Happens If Our Model Adjustment Includes A Collider?

• Drawing a tennis ball

• Mastering Data Visualization: A Guide to Harnessing the Power of R’s par() Function

• Calculating the prediction interval coverage probability (PICP)

• Black hole word numbers in multiple languages

• Flipbookr for Quarto

• Wrapping C Code in an R Package

• If Else Statement in R (4 Examples)

• Using r2u in Codespaces

• The ultimate practical guide to multilevel multinomial conjoint analysis with R

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

• Multilingual Publishing

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

• Senior Software Sustainability Engineer - Data.Org

rtistry

data driven #generativeart #wesanderson colors
"titled : Babinga Interlude". #rtistry pic.twitter.com/JegTKwwJRu

— Abiyu Giday (@abiyugiday) August 12, 2023

Quotes of the Week

(Using R on mobile phone, demo)

「俺のスマホはRが動くんだぜ！」という遊び pic.twitter.com/iTCcpoimNb

— あきる (@paithiov909) August 5, 2023

lol at these names #rstats pic.twitter.com/8tClBdTdLr

— Andrew Heiss (🐘 @[email protected]) (@andrewheiss) August 7, 2023

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