R Weekly 2023-W17 R 4.3.0, tidy tools, indentation

24 Apr 2023

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

Highlight

• What’s new in R 4.3.0?

• Writing performant code with tidy tools

• On Indentation in R

Insights

• What’s new in R 4.3.0?

• 11 tricks to level up your rmarkdown documents

• On Indentation in R

• Using R to Develop Solutions for Industrial Problems

R in the Real World

• Removing absences from GBIF datasets

• Multistate Models for Medical Applications

• Global Fishing Watch Helps Protect Critical Marine Ecosystems Through Open Data and Innovative Technology

R in Organizations

• Generating variable cluster sizes to assess power in cluster randomize trials

R in Academia

• Model selection, AIC and Tweedie regression

• Getting Started with Analysis of Covariance

Resources

• Data Cloning - Hierarchical Models Made Easy Workshop Materials

• Deep R Programming

• rOpenSci News Digest, April 2023

• Tuning hyperparameters with tidymodels is a delight

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {gghist} 0.1.0: Plot the Histogram of a Numeric Vector

• {fakir}

• {phylocomr} 0.3.4: Interface to ‘Phylocom’

• {rpm} 0.7-1: Modeling of Revealed Preferences Matchings

• {KaradaColor} 0.1.5: Color Palettes Inspired by Japanese Landscape and Culture

• {bgms} 0.1.0: Bayesian Variable Selection for Networks of Binary and/or Ordinal Variables

• {survivalSL} 0.9: Super Learner for Survival Prediction from Censored Data

• {myCRAN} 1.0: Graph of Daily and Cumulative Downloads of your Packages

• {GPUmatrix} 0.1.0: Basic Linear Algebra with GPU

• {ggragged} 0.1.0: Ragged Grids for ‘ggplot2’

• {GLMMselect} 1.0.0: Bayesian Model Selection for Generalized Linear Mixed Models

• {faux} 1.2.1: Simulation for Factorial Designs

• {fqacalc} 1.0.0: Calculate Floristic Quality Assessment Metrics

• {zctaCrosswalk} 2.0.0: Crosswalk Between 2020 Census ZIP Code Tabulation Areas (ZCTAs), States and Counties

• {woodendesc} 0.1.0: Find Packages and Their Dependencies in Any ‘R’ Repository

• {PlotTools} 0.1.0: Add Continuous Legends to Plots

• {nndiagram} 1.0.0: Generator of ‘LaTeX’ Code for Drawing Neural Network Diagrams with ‘TikZ’

• {lmerPerm} 0.1.9: Perform Permutation Test on General Linear and Mixed Linear Regression

• {DateTimeRangePicker} 1.0.0: A Datetime Range Picker Widget for Usage in ‘Shiny’ Applications

• {knitxl} 0.1.0: Generates a Spreadsheet Report from an ‘rmarkdown’ File

• {healthyverse} 1.0.4: Easily Install and Load the ‘healthyverse’

• {TukeyRegion} 0.1.6.3: Tukey Region and Median

• {fqadata} 1.0.0: Contains Regional Floristic Quality Assessment Databases

• {swaprinc} 1.0.1: Swap Principal Components into Regression Models

• {intmap} 1.0.0: Ordered Containers with Integer Keys

• {rb3} 0.0.10: Download and Parse Public Data Released by B3 Exchange

• {bayesplay} 0.9.3: The Bayes Factor Playground

• {CRediTas} 0.2.0: Generate CRediT Author Statements

• {predictNMB} 0.1.0: Evaluate Clinical Prediction Models by Net Monetary Benefit

• {npclust} 0.1.0: Nonparametric Tests for Incomplete Clustered Data

• {EIAapi} 0.1.0: Query Data from the ‘EIA’ API

• {fdicdata} 0.1.0: Accessing FDIC Bank Data

• {gibasa} 0.9.3: An Alternative ‘Rcpp’ Wrapper of ‘MeCab’

• {betaNB} 1.0.1: Bootstrap for Regression Effect Sizes

GitHub or Bitbucket

• {forgot} - R package to search for that one function you need in that one package

• {shinidraw} - Bringing Excalidraw to your R console, with built-in project management.

Updated Packages

🔍 Search on R-universe 🔍

• {nanonext} 0.8.2: Lightweight Messaging Library. R binding for NNG (Nanomsg Next Gen), a successor to ZeroMQ.

• {mirai} 0.8.3: Minimalist Async Evaluation Framework for R. Lightweight parallel code execution and distributed computing.

• qlcal 0.0.5 on CRAN: Updates from QuantLib 1.3.0

• censored 0.2.0

• luz 0.4.0

• {ceramic} 0.8.0: Download Online Imagery Tiles - diffify

• {openxlsx2} 0.6.1: Read, Write and Edit ‘xlsx’ Files - diffify

• {idarps} 0.0.3: Datasets and Functions for the Class “Modelling and Data Analysis for Pharmaceutical Sciences” - diffify

• {yardstick} 1.2.0: Tidy Characterizations of Model Performance - diffify

• {FielDHub} 1.3.1: A Shiny App for Design of Experiments in Life Sciences - diffify

• {ROI} 1.0-1: R Optimization Infrastructure - diffify

• {matrixTests} 0.2.1: Fast Statistical Hypothesis Tests on Rows and Columns of Matrices - diffify

• {bigrquery} 1.4.2: An Interface to Google’s ‘BigQuery’ ‘API’ - diffify

• {batchtools} 0.9.17: Tools for Computation on Batch Systems - diffify

• {xfun} 0.39: Supporting Functions for Packages Maintained by ‘Yihui Xie’ - diffify

• {rfacebookstat} 2.9.2: Load Data from Facebook API Marketing - diffify

• {qrng} 0.0-9: (Randomized) Quasi-Random Number Generators - diffify

• {leaflet.extras2} 1.2.1: Extra Functionality for ‘leaflet’ Package - diffify

• {analogsea} 1.0.7.2: Interface to ‘DigitalOcean’ - diffify

• {lfc} 0.2.3: Log Fold Change Distribution Tools for Working with Ratios of Counts - diffify

• {parameters} 0.21.0: Processing of Model Parameters - diffify

• {pkgdepends} 0.5.0: Package Dependency Resolution and Downloads - diffify

• {voice} 0.4.21: Tools for Voice Analysis, Speaker Recognition and Mood Inference - diffify

• {finetune} 1.1.0: Additional Functions for Model Tuning - diffify

• {stminsights} 0.4.2: A ‘Shiny’ Application for Inspecting Structural Topic Models - diffify

• {ps} 1.7.5: List, Query, Manipulate System Processes - diffify

• {tinytex} 0.45: Helper Functions to Install and Maintain TeX Live, and Compile LaTeX Documents - diffify

• {pkgcache} 2.1.0: Cache ‘CRAN’-Like Metadata and R Packages - diffify

• {rgoogleads} 0.9.2: Loading Data from ‘Google Ads API’ - diffify

• {shiny.router} 0.3.1: Basic Routing for Shiny Web Applications - diffify

• {fastmatrix} 0.5: Fast Computation of some Matrices Useful in Statistics - diffify

• {newsmd} 0.5.1: Creation of NEWS.md File - diffify

• {tableHTML} 2.1.2: A Tool to Create HTML Tables - diffify

• {ppseq} 0.2.2: Design Clinical Trials using Sequential Predictive Probability Monitoring - diffify

• {khroma} 1.10.0: Colour Schemes for Scientific Data Visualization - diffify

• {CRE} 0.2.2: Interpretable Subgroups Identification Through Ensemble Learning of Causal Rules - diffify

• {vcdExtra} 0.8-4: ‘vcd’ Extensions and Additions - diffify

• {innsight} 0.2.0: Get the Insights of your Neural Network - diffify

• {USgas} 0.1.2: The Demand for Natural Gas in the US - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Barrett Schloerke - Lessons learned from testing 2500+ Shiny Apps

• Shiny Developer Series Live at Shiny Conf 2023

• Peter Solymos - moosecounter: A Shiny desktop application for adaptive moose surveys in the Yukon Territory, Canada

• TidyX Episode 142: Data from your lists 4 ways

R Internationally

• Where and when (not) to eat in France ?

Tutorials

• Compressing PNG Output for R Packages with pngquant and ragg

• Differences between the base R and magrittr pipes

• Writing performant code with tidy tools

• How-To Connect to 7 Different Databases in R

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Working with Big Data with Hadoop and Spark workshop

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

• Regression Modeling Strategies Course

• Regression Modeling Strategies Pre-Course

Grants & Funding

• The 2023 RUGS Program is awarding grants for 2023!

Datasets

• {NYgrid} - New York Independent System Operator Hourly Demand by Sub-Region

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Quotes of the Week