R Weekly 2023-W07 Maintain, Resample, Manipulate

13 Feb 2023

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

Highlight

Insights

R in the Real World

World Cup 2022 results

R Users

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

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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

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