R Weekly 2023-W12 Good Practices, Modding Rome Total War, R-based AWS Lambda!

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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 Batool Almarzouq, with help from the R Weekly team members and contributors.

Highlight

• Some good practices for research with R

• Modding Rome Total War (Avatar, The Last Airbender mod) using R!

• How to set up an R-based AWS Lambda to write to AWS S3 on a schedule

Insights

• Seeking community endorsement for an upgrade to Big Book of R

• Polycrisis: When Will the World End? Professor Gott’s Equation Gives an Answer! (Also as a Video!)

• GooglyPlusPlus: Computing T20 player’s Win Probability Contribution

• Seven Common Errors in Decision Curve Analysis

• Getting Started with Simple Slopes Analysis

R in the Real World

• An analysis of 10-0 scoring runs in college basketball, using ggplot2 and gt to create graphs and tables

• Food Inflation: Comparing with Interactive Chart of {ggiraph}

R in Organizations

• rOpenSci News Digest, March 2023

• Kaizen Project for R Package Documentation

• Use of R for Marketing and CRM in Tunisia

R in Academia

• Some good practices for research with R

Resources

• chrome-rselenium: Use Google Chrome from your R scripts using WebDriver for navigating to web pages, user input, JavaScript execution, and more.

• Managing Large R Codebases webinar (summary and slides)

• Regression Modeling Strategies Course

• Regression Modeling Strategies Pre-Course

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {reappraised} 0.1.0: Statistical Tools for Assessing Publication Integrity of Groups of Trials

• {bonn} 1.0.2: Access INKAR Database

• {SQMtools} 1.6.2: Analyze Results Generated by the ‘SqueezeMeta’ Pipeline

• {Rapp} 0.1.0: Easily Build Command Line Applications

• {inlcolor} 1.0.5: Color Schemes for the USGS Idaho National Laboratory Project Office

• {gsDesign2} 1.0.7: Group Sequential Design with Non-Constant Effect

• {gptstudio} 0.1.0: Use Large Language Models Directly in your Development Environment

• {Multiaovbay} 0.1.0: Classic, Nonparametric and Bayesian Two-Way Analysis of Variance Panel

• {kgen} 0.2.1: A Tool for Calculating Stoichiometric Equilibrium Constants (Ks) for Seawater

• {evolMap} 1.2.33: Dynamic and Interactive Maps

• {visxhclust} 1.1.0: A Shiny App for Visual Exploration of Hierarchical Clustering

• {TrafficBDE} 0.1.2: Traffic Predictions Using Neural Networks

• {MBNMAtime} 0.2.3: Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models

• {VedicDateTime} 0.1.2: Vedic Calendar System

• {PlotBivInvGaus} 0.1.0: Density Contour Plot for Bivariate Inverse Gaussian Distribution

• {gsdensity} 0.1.2: Density-Based Gene Set Specificity Evaluation

• {FACT} 0.1.0: Feature Attributions for ClusTering

• {DNAmixturesLite} 0.0-1: Statistical Inference for Mixed Traces of DNA (Lite-Version)

• {checker} 0.1.2: Checks ‘R’ Configuration Set Up Correctly Before Class

• {text2sdgData} 0.1.1: Contains the Trained ‘text2sdg’ Ensemble Model Data

• {SomaDataIO} 6.0.0: Input/Output ‘SomaScan’ Data

• {shiny.blueprint} 0.2.0: Palantir’s ‘Blueprint’ for ‘Shiny’ Apps

• {pharmaverse} 0.0.2: Navigate ‘Pharmaverse’

• {dataclass} 0.1.8: Easily Create Structured Lists or Data Frames with Input Validation

• {admiralophtha} 0.1.0: ADaM in R Asset Library - Ophthalmology

• {folders} 0.0.8: Standardized Folder Names

• {RmdConcord} 0.1.6: Concordances for ‘R Markdown’

• {mlbplotR} 1.0.1: Create ‘ggplot2’ and ‘gt’ Visuals with Major League Baseball Logos

• {coconots} 1.1: Convolution-Closed Models for Count Time Series

• {plspm} 0.5.0: Partial Least Squares Path Modeling (PLS-PM)

• {plsdepot} 0.2.0: Partial Least Squares (PLS) Data Analysis Methods

• {metatools} 0.1.5: Enable the Use of ‘metacore’ to Help Create and Check Dataset

• {medfate} 2.9.3: Mediterranean Forest Simulation

• {CPE} 1.6.3: Concordance Probability Estimates in Survival Analysis

• {nichevol} 0.1.20: Tools for Ecological Niche Evolution Assessment Considering Uncertainty

• {Wats} 1.0.1: Wrap Around Time Series Graphics

• {metapro} 1.5.11: Robust P-Value Combination Methods

• {tramvs} 0.0-4: Optimal Subset Selection for Transformation Models

• {cellKey} 1.0.1: Consistent Perturbation of Statistical Frequency- And Magnitude Tables

• {eventPred} 0.0.1: Event Prediction

• {ABM} 0.2: Agent Based Model Simulation Framework

• {sr} 0.1.0: Smooth Regression - The Gamma Test and Tools

• {saeHB.ME.beta} 0.1.0: SAE with Measurement Error using HB under Beta Distribution

• {openmeteo} 0.1.1: Retrieve Weather Data from the Open-Meteo API

• {nanoarrow} 0.1.0.1: Interface to the ‘nanoarrow’ ‘C’ Library

• {evilDice} 1.0: Test Dice Sets for Intransitive Properties

Bioconductor

GitHub or Bitbucket

• {oranguru}: Pokémon damage calculator for R.

Updated Packages

• {metathis} 1.1.3: tags and social media cards for R-made web things.

🔍 Search on R-universe 🔍

• {mirai} 0.8.0: Minimalist async evaluation framework for R - lightweight parallel code execution, local or distributed across the network.

• future 1.32.0: future: Unified Parallel and Distributed Processing in R for Everyone - diffify

• {keras} 2.11.1: R Interface to ‘Keras’ - diffify

• {AICcmodavg} 2.3-2: Model Selection and Multimodel Inference Based on (Q)AIC(c) - diffify

• {NMF} 0.26: Algorithms and Framework for Nonnegative Matrix Factorization (NMF) - diffify

• {gmwmx} 1.0.3: Estimate Functional and Stochastic Parameters of Linear Models with Correlated Residuals - diffify

• {rcheology} 4.2.3.0: Data on Base Packages for Current and Previous Versions of R - diffify

• {FNN} 1.1.3.2: Fast Nearest Neighbor Search Algorithms and Applications - diffify

• {spant} 2.10.0: MR Spectroscopy Analysis Tools - diffify

• {Rogue} 2.1.5: Identify Rogue Taxa in Sets of Phylogenetic Trees - diffify

• {tibble} 3.2.1: Simple Data Frames - diffify

• {ggfortify} 0.4.16: Data Visualization Tools for Statistical Analysis Results - diffify

• {sf} 1.0-12: Simple Features for R - diffify

• {survHE} 2.0.1: Survival Analysis in Health Economic Evaluation - diffify

• {mvp} 1.0-14: Fast Symbolic Multivariate Polynomials - diffify

• {glmmTMB} 1.1.6: Generalized Linear Mixed Models using Template Model Builder - diffify

• {metafor} 4.0-0: Meta-Analysis Package for R - diffify

• {fungible} 2.3: Psychometric Functions from the Waller Lab - diffify

• {jskm} 0.5: Kaplan-Meier Plot with ‘ggplot2’ - diffify

• {servr} 0.26: A Simple HTTP Server to Serve Static Files or Dynamic Documents - diffify

• {glossr} 0.7.0: Use Interlinear Glosses in R Markdown - diffify
• {movecost} 1.9: Calculation of Slope-Dependant Accumulated Cost Surface, Least-Cost Paths, Least-Cost Corridors, Least-Cost Networks

Related to Human Movement Across the Landscape - diffify

• {fitPS} 0.2-5: Fit Zeta Distributions to Forensic Data - diffify

• {Rmpi} 0.7-1: Interface (Wrapper) to MPI (Message-Passing Interface) - diffify

• {moderate.mediation} 0.0.2: Causal Moderated Mediation Analysis - diffify

• {rainette} 0.3.1: The Reinert Method for Textual Data Clustering - diffify

• {psych} 2.3.3: Procedures for Psychological, Psychometric, and Personality Research - diffify

• {watson} 0.3: Fitting and Simulating Mixtures of Watson Distributions - diffify

• {gtable} 0.3.2: Arrange ‘Grobs’ in Tables - diffify

• {greeks} 1.1.0: Sensitivities of Prices of Financial Options and Implied Volatilites - diffify

• {grates} 1.0.0: Grouped Date Classes - diffify

• {ggiraph} 0.8.7: Make ‘ggplot2’ Graphics Interactive - diffify

• {conStruct} 1.0.5: Models Spatially Continuous and Discrete Population Genetic Structure - diffify

• {blob} 1.2.4: A Simple S3 Class for Representing Vectors of Binary Data (‘BLOBS’) - diffify

• {ckanr} 0.7.0: Client for the Comprehensive Knowledge Archive Network (‘CKAN’) API - diffify

• {rxode2ll} 2.0.11: Log-Likelihood Functions for ‘rxode2’ - diffify

• {ggsurvfit} 0.3.0: Flexible Time-to-Event Figures - diffify

• {RedditExtractoR} 3.0.9: Reddit Data Extraction Toolkit - diffify

• {qpdf} 1.3.2: Split, Combine and Compress PDF Files - diffify

• {learnr} 0.11.3: Interactive Tutorials for R - diffify

• {genBaRcode} 1.2.6: Analysis and Visualization Tools for Genetic Barcode Data - diffify

• {DGCA} 1.0.3: Differential Gene Correlation Analysis - diffify

• {DatabaseConnector} 6.1.0: Connecting to Various Database Platforms - diffify

• {Require} 0.3.0: Installing and Loading R Packages for Reproducible Workflows - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

Tutorials

• Modding Rome Total War (Avatar, The Last Airbender mod) using R!

• How to set up an R-based AWS Lambda to write to AWS S3 on a schedule

• Almost Bare Bones WebR Starter App

• webR with Quarto HTML Standalone Document Proof of Concept

• Automating checks of handcrafted Word tables with {docxtractr}

• Probit Regression in R: Interpretation & Examples

• How to customise the style of your {shinydashboard} Shiny app

• Modding Rome Total War (Avatar, The Last Airbender mod) using R!

• How to Win a Game (or More) of Super Six

• Introduction to data analysis with {Statgarten}.

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

• Announcing R/Medicine 2023!

• April 20: Dataviz with R and ggplot: Using colour and annotations for effective story telling workshop

• April 13: Generalized Additive Models in R Workshop

• April 22: SatRdays London 2023

Grants & Funding

• R Consortium ISC Call for Proposals - Infrastructure Steering Committee (ISC) grants for low-to-medium risk projects with a focused scope and likely to have a broad impact on the R Community. Deadline 2023-04-01.

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

I love #ggplot because this is all the same data with like a few character's worth of transformations, plus these were all "accidents" #rtistry in #rstats pic.twitter.com/LYd8H9QsSg

— Meghan Harris (@meghansharris) March 9, 2023

Monochrome Trigonometry 654

Done in #rstats with #ggplot2#Rtistry #generativeart #creativecoding pic.twitter.com/5rcKmPhOaE

— aRtfulBot (@aRtfulBot) March 20, 2023

Quotes of the Week

In my first #rstats class, students loved the dinosaur from the dataSaurus package.

One student even asked for more dinosaurs in class, and I couldn't resist! 🤪

I searched for dinosaur images, extracted coordinates and started plotting.

So, here are more ggplot dinosaurs 🦕🦖 pic.twitter.com/wxKSrjDPlS

— Albert Rapp (@rappa753) March 18, 2023

Using gpt-3.5-turbo inside RStudio as a coding helper. The package is experimental (https://t.co/RQYXml5faX). #RStats #rstudio pic.twitter.com/457cV78L5V

— Sam Terfa (@SamTerfa) March 19, 2023

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