R Weekly 2023-W18 Code Review, JavaScript, Error handling

02 May 2023

• How to have (my) content shared by R Weekly?

This week’s release was curated by Colin Fay, with help from the R Weekly team members and contributors.

Highlight

• Pull Requests, Code Review, and The Art of Requesting Changes

• Sketch Package looks to add JavaScript to R packages

• Error Handling in R and Python

Insights

• rOpenSci Champions Program Teams: Meet Bilikisu Wunmi Olatunji and Christina Maimone

• Pull Requests, Code Review, and The Art of Requesting Changes

• Rounding in R: Common Data Wrangling Frustrations and Workarounds in R, Julia, and Python

• Sketch Package looks to add JavaScript to R packages

• Error Handling in R and Python

• Seeking a New Maintainer for the Popular R Package install

• Shiny User Adoption Fails: 9 Reasons Why Nobody Uses Your App

R in the Real World

• Building Mastodon Bots and Promoting the Community - Part 1

• R Applied to Epidemiology and Infectious Disease in Glasgow

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {activatr} 0.1.1: Utilities for Parsing and Plotting Activities
• {gps} 1.1: General P-Splines
• {MatTransMix} 0.1.16: Clustering with Matrix Gaussian and Matrix Transformation Mixture Models
• {ManlyMix} 0.1.15: Manly Mixture Modeling and Model-Based Clustering
• {withdots} 0.1.1: Put … in a Function’s Argument List
• {transformer} 0.1.0: Implementation of Transformer Deep Neural Network with Vignettes
• {imbalanceDatRel} 0.1.5: Relocated Data Oversampling for Imbalanced Data Classification
• {somspace} 1.2.4: Spatial Analysis with Self-Organizing Maps
• {rpaleoclim} 1.0.0: Download Paleoclimate Data from ‘PaleoClim’
• {MixSemiRob} 1.0.0: Mixture Models: Parametric, Semiparametric, and Robust
• {doctest} 0.2.0: Generate Tests from Examples Using ‘roxygen’ and ‘testthat’
• {D3mirt} 1.0.1: Descriptive 3D Multidimensional Item Response Theory Modeling
• {mixedBayes} 0.1.0: Bayesian Longitudinal Regularized Quantile Mixed Model
• {CRE} 0.2.3: Interpretable Subgroups Identification Through Ensemble Learning of Causal Rules
• {fractalRegression} 1.1: Performs Fractal Analysis and Fractal Regression
• {predRupdate} 0.1.0: Prediction Model Validation and Updating
• {EpiNow2} 1.3.5: Estimate Real-Time Case Counts and Time-Varying Epidemiological Parameters
• {tidier} 0.0.1: Enhanced ‘mutate’
• {TheOpenAIR} 0.1.0: Integrate ‘OpenAI’ Large Language Models into Your ‘R’ Workflows
• {SQL} 0.1.0: Executes ‘SQL’ Statements
• {RefBasedMI} 0.1.0: Reference-Based Imputation for Longitudinal Clinical Trials with Protocol Deviation
• {nbconv} 1.0.0: Evaluate Arbitrary Negative Binomial Convolutions
• {deflist} 0.2.0: Deferred List - A Read-Only List-Like Object with Deferred Access
• {mgee2} 0.4: Marginal Analysis of Misclassified Longitudinal Ordinal Data
• {mizer} 2.4.1: Dynamic Multi-Species Size Spectrum Modelling
• {r.proxy} 0.1.2: Set Proxy in R Console
• {stockR} 1.0.76: Identifying Stocks in Genetic Data
• {ciCalibrate} 0.42.2: Calibration of Confidence Intervals to Support Intervals
• {alpha.correction.bh} 0.0.1: Benjamini-Hochberg Alpha Correction
• {simpr} 0.2.6: Flexible ‘Tidyverse’-Friendly Simulations
• {mlmpower} 1.0.0: Power Analysis and Data Simulation for Multilevel Models
• {OmicSense} 0.1.1: Biosensor Development using Omics Data
• {kronos} 1.0.0: Microbiome Oriented Circadian Rhythm Analysis Toolkit
• {jmBIG} 0.1.0: Joint Longitudinal and Survival Model for Big Data
• {htetree} 0.1.16: Causal Inference with Tree-Based Machine Learning Algorithms
• {mlr3batchmark} 0.1.0: Batch Experiments for ‘mlr3’
• {EWSmethods} 1.1.2: Forecasting Tipping Points at the Community Level
• {crew.cluster} 0.0.2: Crew Launcher Plugins for Traditional High-Performance Computing Clusters
• {hydroMOPSO} 0.1-3: Multi-Objective Calibration of Hydrological Models using MOPSO
• {gtranslate} 0.0.1: Translate Between Different Languages
• {forecastLSW} 1.0: Forecasting Routines for Locally Stationary Wavelet Processes
• {dataverifyr} 0.1.4: A Lightweight, Flexible, and Fast Data Validation Package that Can Handle All Sizes of Data
• {DAISIEprep} 0.3.2: Extracts Phylogenetic Island Community Data from Phylogenetic Trees
• {clarabel} 0.4.1: Interior Point Conic Optimization Solver
• {censo2017} 0.6.2: Base de Datos de Facil Acceso del Censo 2017 de Chile (2017 Chilean Census Easy Access Database)
• {cemco} 0.2: Fit ‘CemCO’ Algorithm
• {jdenticon} 0.1.1: A Wrapper for the Node.js ‘Jdenticon’ Library
• {convertbonds} 0.1.0: Use the Given Parameters to Calculate the European Option Value
• {tinyarray} 2.3.0: Expression Data Analysis and Visualization
• {Mapinguari} 2.0.0: Process-Based Biogeographical Analysis
• {hierarchicalSets} 1.0.4: Set Data Visualization Using Hierarchies
• {depigner} 0.9.1: A Utility Package to Help you Deal with “Pignas”
• {btergm} 1.10.10: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood
• {SpPOP} 0.1.0: Generation of Spatial Population under Different Levels of Relationships among Variables
• {rcccd} 0.3.2: Class Cover Catch Digraph Classification
• {MHD} 0.1.1: Metric Halfspace Depth
• {markovmix} 0.1.1: Mixture of Markov Chains with Support of Higher Orders and Multiple Sequences
• {grateful} 0.2.0: Facilitate Citation of R Packages
• {fxl} 1.6.3: ‘fxl’ Single Case Design Charting Package

GitHub or Bitbucket

• {ggmagnify}: create a magnified inset of part of a ggplot

• Supreme Annotations Plot Redux & An OJS Plot↔ggplot2 Rosetta Stone

Updated Packages

🔍 Search on R-universe 🔍

• Q1 2023 tidymodels digest

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

Tutorials

• Exploring Distributions with {shiny}, {TidyDensity} and {plotly} Part 5

• Building models with {shiny} and {tidyAML} Part 1

• Building models with {shiny} and {tidyAML} Part 2

• Building models with {shiny} and {tidyAML} Part 3

• Building models with {shiny} and {tidyAML} Part 4

• RObservations #47 : Knitting .Rmd Files to Google Docs with knit2docs

• shiny.emptystate – How To Add an Empty State Component to R Shiny

• How to create a clickable world cloud with wordcloud2 and Shiny

• Making Middle Earth maps with R: Explore Tolkien’s Middle Earth with R-based GIS tools, including {ggplot2}, {sf}, and {leaflet}

• How to R code faster with ChatGPT

• The Perfect Setup for Ubuntu and R (and how to install/update RStudio with apt install rstudio/apt update)

• Supervised Learning in R: How to fit a line?

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• 🇫🇷 Rencontres R 2023

• A list of R conferences and meetings

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

+Weekly R Workshops for Ukraine

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

Quotes of the Week

My book is done. I need to write a conclusion to the last chapter and will likely rewrite some paragraphs, but I won't make major changes anymore. So if you're interested in building reproducible analytical pipelines with #RStats, take a look it's free: https://t.co/Vx8LGpddwR pic.twitter.com/PKFb2P4pJK

— Bruno Rodrigues (@[email protected]) (@brodriguesco) April 23, 2023