R Weekly 2023-W08 rtweet future, statistical correctness, Shiny maze

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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 Eric Nantz, with help from the R Weekly team members and contributors.

Highlight

• rtweet future

• Ensuring & Showcasing the Statistical Correctness of your R Package

• Shiny Monster Maze

Insights

• RObservations #45: Making Beautiful Star Maps With The starBliss Package

• Making Pretty PDFs with Quarto

R in the Real World

• rtweet future

R in Organizations

• Work smarter; not harder: COVID-19 processing for the WHO/Europe

• rOpenSci News Digest, February 2023

R in Academia

• Expanding Tidy Data Principles to Facilitate Missing Data Exploration, Visualization and Assessment of Imputations

Resources

• Flexible correlation generation: an update to genCorMat in simstudy

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {mistat} 2.0.4: Data Sets, Functions and Examples from the Book: “Modern Industrial Statistics” by Kenett, Zacks and Amberti

• {tidyformula} 0.1.0: Build Formulas Using Tidy Selection Helpers

• {practicalSigni} 0.1.0: Practical Significance Ranking of Regressors

• {bubbleHeatmap} 0.1.0: Produces ‘bubbleHeatmap’ Plots for Visualising Metabolomics Data

• {birdscanR} 0.1.2: Migration Traffic Rate Calculation Package for ‘Birdscan MR1’ Radars

• {aniSNA} 1.0: Statistical Network Analysis of Animal Social Networks

• {SelectionBias} 1.0.0: Calculates Bounds for the Selection Bias for Binary Treatment and Outcome Variables

• {rang} 0.1.0: Reconstructing Reproducible R Computational Environments with Ease

• {locaR} 0.1.2: A Set of Tools for Sound Localization

• {dndR} 1.0.0: Dungeons & Dragons Functions for Players and Dungeon Masters

• {apportion} 0.0.1: Apportion Seats

• {tidyAML} 0.0.1: Automatic Machine Learning with ‘tidymodels’

• {exdqlm} 0.1.3: Extended Dynamic Quantile Linear Models

• {Statamarkdown} 0.7.2: ‘Stata’ Markdown

• {gitr} 0.0.1: A Lightweight API for ‘Git’

• {tfevents} 0.0.1: Write Events for ‘TensorBoard’

• {s3fs} 0.1.2: ‘Amazon Web Service S3’ File System

• {hexfont} 0.3.1: ‘GNU Unifont’ Hex Fonts

• {ggrain} 0.0.2: A Rainclouds Geom for ‘ggplot2’

• {Durga} 1.0.0: Effect Size Estimation and Visualisation

• {homnormal} 0.1: Tests of Homogeneity of Variances

• {clickb} 0.1: Web Data Analysis by Bayesian Mixture of Markov Models

• {dhis2r} 0.1.1: Client for the ‘DHIS2’ Web API

• {hidecan} 1.1.0: Create HIDECAN Plots for Visualising Genome-Wide Association Studies and Differential Expression Results

GitHub or Bitbucket

• trapinch - Get data from the PokeAPI service

Updated Packages

🔍 Search on R-universe 🔍

• {ffsimulator} 1.2.3: Simulate Fantasy Football Seasons

• {ffscrapr} 1.4.8: API Client for Fantasy Football League Platforms

• {DataFakeR} 0.1.3: Generate Fake Data for Relational Databases

• {gpboost} 0.8.2: Combining Tree-Boosting with Gaussian Process and Mixed Effects Models - diffify

• {data.table} 1.14.8: Extension of data.frame - diffify

• {RSQLite} 2.3.0: SQLite Interface for R - diffify

• {cropcircles} 0.2.1: Crops an Image to a Circle - diffify

• {Rfast} 2.0.7: A Collection of Efficient and Extremely Fast R Functions - diffify

• {gameR} 0.0.4: Color Palettes Inspired by Video Games - diffify

• {float} 0.3-1: 32-Bit Floats - diffify

• {readxlsb} 0.1.6: Read ‘Excel’ Binary (.xlsb) Workbooks - diffify

• {mixgb} 1.0.2: Multiple Imputation Through ‘XGBoost’ - diffify

• {neo2R} 2.4.1: Neo4j to R - diffify

• {ClickHouseHTTP} 0.3.0: A Simple HTTP Database Interface to ‘ClickHouse’ - diffify

• {MASSExtra} 1.2.2: Some ‘MASS’ Enhancements - diffify

• {gglm} 1.0.1: Grammar of Graphics for Linear Model Diagnostic Plots - diffify

• {ggstatsplot} 0.11.0: ‘ggplot2’ Based Plots with Statistical Details - diffify

• {callsync} 0.0.6: Recording Synchronisation, Call Detection and Assignment, Audio Analysis - diffify

• {shinyStorePlus} 0.9: Secure in-Browser Storage for ‘Shiny’ Inputs and Variables - diffify

• {shinyglide} 0.1.4: Glide Component for Shiny Applications - diffify

• {cities} 0.1.1: Clinical Trials with Intercurrent Events Simulator - diffify

• {packageRank} 0.8.0: Computation and Visualization of Package Download Counts and Percentiles - diffify

• {PCICt} 0.5-4.4: Implementation of POSIXct Work-Alike for 365 and 360 Day Calendars - diffify

• {nplyr} 0.2.0: A Grammar of Nested Data Manipulation - diffify

• {rpact} 3.3.4: Confirmatory Adaptive Clinical Trial Design and Analysis - diffify

• {httpuv} 1.6.9: HTTP and WebSocket Server Library - diffify

• {vivid} 0.2.5: Variable Importance and Variable Interaction Displays - diffify

• {coronavirus} 0.4.0: The 2019 Novel Coronavirus COVID-19 (2019-nCoV) Dataset - diffify

• {bittermelon} 1.1.1: Monochrome Bitmap Font Tools - diffify

• {survival} 3.5-3: Survival Analysis - diffify

• {lessR} 4.2.6: Less Code, More Results - diffify

• {arrow} 11.0.0.2: Integration to ‘Apache’ ‘Arrow’ - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

• Three strategies to tackle Big Data in R and Python

• Love Data Week Keynote Address: The Value of Compassion in Learning Data Science

• TidyX Episode 135 - GitHub Cron Jobs

Shiny Apps

• DECD Assistance Analyzer

• Shiny Monster Maze and blog post

R Internationally

• Bonnes pratiques pour les projets statistiques

Tutorials

• Pitfalls of R dplyr::select or how (not) to spend a Friday afternoon

• Selecting the Number of Factors in Exploratory Factor Analysis via out-of-sample Prediction Errors

• Improving the C++ Code Quality of an Rcpp Package

• Ensuring & Showcasing the Statistical Correctness of your R Package

• How to do a Kruskal-Wallis Test in R

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

• March 15-June 7: R in 3 Months

Jobs

💼 Explore Jobs & Gigs Board on RStudio Community 💼

rtistry

Digged out my old "Flower Power" code (2021) and tweaked it a lil bit 🙂

Base Code: https://t.co/k0nYNMrXLL#rstats #ggplot2 #generative (#rtistry) pic.twitter.com/LrKYMaM5Lt

— Christoph von Matt (@chvonmatt) February 15, 2023

Quotes of the Week

Happy Valentines Day ♥️

Good time to let you know that {cropcircles} also has a function heart_crop() 🙂#rstats #ggplot pic.twitter.com/OIzEdlyARW

— Dan Oehm 🌲⛰️ (@danoehm) February 14, 2023

My #Rstats consultant is better than yours. pic.twitter.com/v5dfdnpt5f

— TJ Shaw (@TJSPsychology) February 15, 2023

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