R Weekly 2023-W07 Maintain, Resample, Manipulate

This article is originally published at

Hello and welcome to this new issue!

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

This week’s release was curated by Jonathan Carroll, with help from the RWeekly team members and contributors.

Highlight

• What Does It Mean to Maintain a Package?

• Resampling to understand gender in #TidyTuesday art history data

• Manipulate SVG Plots with JavaScript in R Markdown

Insights

• Top 10 errors in R and how to fix them

• Manipulate SVG Plots with JavaScript in R Markdown

• Shiny App without Shiny: a JavaScript Exercise in R Markdown

• You Should Rarely Need eval(parse())

• Deprecating xfun::isFALSE()

• What Does It Mean to Maintain a Package?

• Resampling to understand gender in #TidyTuesday art history data

• Extending R with C++ and Fortran

• From Bits to Words: A Tale Computing and Communication Languages

• Fixing my broken VSCode setup for R

• Population growth

• Putting the top 100 R packages into a GIF

• Should I learn Stan?

• New preferred repo name for r-universe registries

• Cricket Weighted Batting Average in R

R in the Real World

• World Cup 2022 results

R Users

• R-Ladies Vitória: Use of R for Public Policy Decisions on Maternal and Child Health in Brazil

• Grupo de Usuarios de R de Madrid Collaborates with the National R Congress in Spain

Resources

• Tricks to use Quarto for publishing

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• RInside 0.2.18 on CRAN: Maintenance

• {bodsr} 0.1.0: Call the Bus Open Data Service (‘BODS’) API Through R
• {volcanoPlot} 1.0.0: Volcano Plot for Clinical Trial Adverse Events
• {metalite} 0.1.1: ADaM Metadata Structure
• {CoronaNetR} 0.3.0: API Access to ‘CoronaNet’ Data
• {mmstat4} 0.1.2: Access to Teaching Materials from a ZIP File or GitHub
• {deFit} 0.1.0: Fitting Differential Equations to Time Series Data
• {simulator} 0.2.5: An Engine for Running Simulations
• {mateable} 0.3.2: Assess Mating Potential in Space and Time
• {whitewater} 0.1.2: Parallel Processing Options for Package ‘dataRetrieval’
• {formatBibtex} 0.1.0: Format BibTeX Entries and Files
• {eselect} 1.1: Adaptive Clinical Trial Designs with Endpoint Selection and Sample Size Reassessment
• {roads} 1.1.0: Road Network Projection
• {cols4all} 0.6: Colors for all
• {OlympicRshiny} 1.0.0: ‘Shiny’ Application for Olympic Data
• {MetChem} 0.2: Chemical Structural Similarity Analysis
• {connectapi} 0.1.3.1: Utilities for Interacting with the ‘Posit Connect’ Server API

Updated Packages

🔍 Search on R-universe 🔍

• dplyr 1.1.0: pick(), reframe(), and arrange()

• {naniar} 1.0.0

• {tidydice} 1.0.0 Simulates Dice Rolls and Coin Flips

• {rfishbase} 4.0.0: R Interface to ‘FishBase’ - diffify
• {dm} 1.0.4: Relational Data Models - diffify
• {RcppColors} 0.2.0: ‘C++’ Header Files for Color Conversion and Color Mappings - diffify
• {gasper} 1.1.3: Graph Signal Processing - diffify
• {polished} 0.8.1: Authentication and Hosting for ‘shiny’ Apps - diffify
• {RcppAlgos} 2.7.2: High Performance Tools for Combinatorics and Computational Mathematics - diffify
• {rconfig} 0.2.0: Manage R Configuration at the Command Line - diffify
• {pool} 1.0.0: Object Pooling - diffify
• {FAIRmaterials} 0.3.0: Make Materials Data FAIR - diffify
• {RhpcBLASctl} 0.23-42: Control the Number of Threads on ‘BLAS’ - diffify
• {ggpubr} 0.6.0: ‘ggplot2’ Based Publication Ready Plots - diffify
• {verbalisr} 0.5.0: Describe Pedigree Relationships in Words - diffify
• {vcfR} 1.14.0: Manipulate and Visualize VCF Data - diffify
• {queryup} 1.0.2: Query the ‘UniProtKB’ REST API - diffify
• {hockeystick} 0.7.1: Download and Visualize Essential Climate Change Data - diffify
• {datefixR} 1.4.1: Standardize Dates in Different Formats or with Missing Data - diffify
• {sherlock} 0.6.0: Graphical Displays to Aid Structured Problem Solving and Diagnosis - diffify
• {ggplot2} 3.4.1: Create Elegant Data Visualisations Using the Grammar of Graphics - diffify
• {toprdata} 1.0.2: Gene and Exon Data from Ensembl - diffify
• {spatgraphs} 3.4: Graph Edge Computations for Spatial Point Patterns - diffify
• {ispdata} 1.1: Access Data from the Public Security Institute of the State of Rio De Janeiro - diffify
• {USA.state.boundaries} 1.0.1: WGS84 Datum Map of the USA, Including Puerto Rico and the U.S. Virgin Islands - diffify
• {ip2proxy} 1.2.0: Lookup for IP Address Proxy Information - diffify
• {RPostgreSQL} 0.7-5: R Interface to the ‘PostgreSQL’ Database System - diffify
• {readr} 2.1.4: Read Rectangular Text Data - diffify
• {microeco} 0.14.0: Microbial Community Ecology Data Analysis - diffify
• {jsTreeR} 2.3.0: A Wrapper of the JavaScript Library ‘jsTree’ - diffify
• {igraph} 1.4.0: Network Analysis and Visualization - diffify
• {RcppArmadillo} 0.11.4.4.0: ‘Rcpp’ Integration for the ‘Armadillo’ Templated Linear Algebra Library - diffify
• {datetimeoffset} 0.2.1: Datetimes with Optional UTC Offsets and/or Heterogeneous Time Zones - diffify
• {lubridate} 1.9.2: Make Dealing with Dates a Little Easier - diffify
• {ggdensity} 1.0.0: Interpretable Bivariate Density Visualization with ‘ggplot2’ - diffify
• {doconv} 0.3.2: Document Conversion to ‘PDF’ or ‘PNG’ - diffify
• {pointblank} 0.11.3: Data Validation and Organization of Metadata for Local and Remote Tables - diffify
• {tikzDevice} 0.12.4: R Graphics Output in LaTeX Format - diffify
• {coda4microbiome} 0.1.4: Compositional Data Analysis for Microbiome Studies - diffify
• {filehash} 2.4-5: Simple Key-Value Database - diffify
• {agua} 0.1.1: ‘tidymodels’ Integration with ‘h2o’ - diffify
• {TOC} 0.0-6: Total Operating Characteristic Curve and ROC Curve - diffify
• {broom.helpers} 1.12.0: Helpers for Model Coefficients Tibbles - diffify
• {rms} 6.5-0: Regression Modeling Strategies - diffify
• {racademyocean} 0.3.2: Client for ‘AcademyOcean API’ - diffify
• {paws} 0.2.0: Amazon Web Services Software Development Kit - diffify
• {openairmaps} 0.7.0: Create Maps of Air Pollution Data - diffify
• {glmmrBase} 0.2.4: Specification of Generalised Linear Mixed Models - diffify
• {exact2x2} 1.6.8: Exact Tests and Confidence Intervals for 2x2 Tables - diffify
• {osmdata} 0.2.0: Import ‘OpenStreetMap’ Data as Simple Features or Spatial Objects - diffify
• {gittargets} 0.0.6: Data Version Control for the Targets Package - diffify
• {bspm} 0.4.2: Bridge to System Package Manager - diffify
• {PRISMA2020} 1.1.1: Make Interactive ‘PRISMA’ Flow Diagrams - diffify
• {paws.database} 0.2.0: ‘Amazon Web Services’ Database Services - diffify
• {readxl} 1.4.2: Read Excel Files - diffify
• {Hmisc} 4.8-0: Harrell Miscellaneous - diffify
• {readrba} 0.1.4: Download and Tidy Data from the Reserve Bank of Australia - diffify
• {memo} 1.1: In-Memory Caching of Repeated Computations (Memoization) - diffify
• {caretEnsemble} 2.0.2: Ensembles of Caret Models - diffify
• {nlsr} 2023.2.8: Functions for Nonlinear Least Squares Solutions - Updated 2022 - diffify
• {SAMtool} 1.5.1: Stock Assessment Methods Toolkit - diffify
• {forestploter} 1.0.0: Create Flexible Forest Plot - diffify
• {webfakes} 1.1.7: Fake Web Apps for HTTP Testing - diffify
• {paws.storage} 0.2.0: ‘Amazon Web Services’ Storage Services - diffify
• {paws.security.identity} 0.2.0: ‘Amazon Web Services’ Security, Identity, & Compliance Services - diffify
• {paws.networking} 0.2.0: ‘Amazon Web Services’ Networking & Content Delivery Services - diffify
• {paws.management} 0.2.0: ‘Amazon Web Services’ Management & Governance Services - diffify
• {paws.machine.learning} 0.2.0: ‘Amazon Web Services’ Machine Learning Services - diffify
• {hydroroute} 0.1.2: Trace Longitudinal Hydropeaking Waves - diffify
• {paws.end.user.computing} 0.2.0: ‘Amazon Web Services’ End User Computing Services - diffify
• {paws.developer.tools} 0.2.0: ‘Amazon Web Services’ Developer Tools Services - diffify
• {paws.customer.engagement} 0.2.0: ‘Amazon Web Services’ Customer Engagement Services - diffify
• {paws.cost.management} 0.2.0: ‘Amazon Web Services’ Cost Management Services - diffify
• {paws.compute} 0.2.0: ‘Amazon Web Services’ Compute Services - diffify
• {paws.analytics} 0.2.0: ‘Amazon Web Services’ Analytics Services - diffify
• {FFTrees} 1.9.0: Generate, Visualise, and Evaluate Fast-and-Frugal Decision Trees - diffify
• {paws.application.integration} 0.2.0: ‘Amazon Web Services’ Application Integration Services - diffify
• {wCorr} 1.9.6: Weighted Correlations - diffify
• {torchaudio} 0.3.1: R Interface to ‘pytorch’’s ‘torchaudio’ - diffify
• {modeltime} 1.2.5: The Tidymodels Extension for Time Series Modeling - diffify
• {pdftools} 3.3.3: Text Extraction, Rendering and Converting of PDF Documents - diffify
• {brolgar} 1.0.0: Browse Over Longitudinal Data Graphically and Analytically in R - diffify
• {colourvalues} 0.3.8: Assigns Colours to Values - diffify
• {rlemon} 0.2.1: R Access to LEMON Graph Algorithms - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

Tutorials

• Let’s Roll Dice!

• Prediction Intervals for Linear Mixed Effects Models in {lme4}

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• February Training Update

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

• Feb 23: Making Beautiful And Effective Maps In R

• March 15-17: ShinyConf 2023

• SatRdays London 2023

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

When your code doesn't work out as intended, but you try to make the best of it anyway 🤷🏾‍♀️ #rtistry #rstats #genart pic.twitter.com/n8hI0nUHe9

— Meghan Harris (@meghansharris) February 9, 2023

The Intersection#rstats #generativeart #rtistry #creativecoding pic.twitter.com/bZSPq3F919

— chris (@dickie_roper) February 6, 2023

#RStats #GenArtClub #GenerativeArt pic.twitter.com/2NNNFEhfDn

— Nicola Rennie | @[email protected] (@nrennie35) February 9, 2023

Quotes of the Week

I made a new Quarto extension to bring the Spotlight Reveal.js plugin to Quarto.
It's a very useful plugin that allows you to highlight a specific part of your presentation.https://t.co/xVLzNfkbVI#QuartoPub #AwesomeQuarto #RevealJS pic.twitter.com/ts1aUPgVs6

— Mickaël CANOUIL (@[email protected]) (@MickaelCanouil) February 10, 2023

Do you want feedback on your #rstats code but are too 🙈 shy 🙈 to ask?

🤖 gpttools 📦 can now suggest code improvements and explains what it did 🤯! #ChatGPT

It's almost like a modern-day rubber 🦆 that talks backhttps://t.co/9f54V4oiMs pic.twitter.com/LFi76aexWh

— James Wade (@JamesHWade) January 11, 2023

📣📣📣 We're thrilled to announce the full list of #ShinyConf2023 speakers rocking the world of #datascience and #RShiny every day!

Check the list and register for the conference now for free 👉 https://t.co/EffAiHTq97#rstats #shiny #r pic.twitter.com/gBiP5GXywb

— ShinyConf (@ShinyConf) February 8, 2023

Thanks for visiting r-craft.org
This article is originally published at
Please visit source website for post related comments.