R Weekly 2024-W45 Talk recordings from posit::conf(2024), GitHub actions, Parameterized plots

This article is originally published at https://rweekly.org/

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

• Talk recordings and workshop materials from posit::conf(2024)

• 3MW (Automate Anything With R & GitHub Actions)

• Parameterized plots and reports with R and Quarto

Insights

• August 2024: Top 40 New CRAN Packages

R in the Real World

• Shiny Gatherings x Pharmaverse: Building Clinical Data Analysis Apps with {teal}

• SpendDash: a free online dashboard that allows you to keep track of your spending habits over time

R in Academia

• Comparison of spatial patterns in categorical raster data for overlapping regions using R

Resources

• Talk recordings and workshop materials from posit::conf(2024)

• 10 New Books added to Big Book of R + R community on BlueSky

• Ordinal State Transition Models as a Unifying Risk Prediction Framework

New Packages

📦 Keep up to date wtih CRANberries 📦

CRAN

• Rcpp 1.0.13-1 on CRAN: Hot Fix

• gcbd 0.2.7 on CRAN: More Mere Maintenance

• Tapyr 0.2 Update: Package Management with uv and Shiny for Python Testing API

• {favawesome} 0.1.1: Use Font Awesome Icons as Shiny favicons

• {surveydown} 0.4.0: Markdown-Based Surveys Using ‘Quarto’ and ‘shiny’

• {rcollectadhd} 0.8: Collection of Data Sets Containing ADHD Related Data

• {legendry} 0.1.0: Extended Legends and Axes for ‘ggplot2’

• {CADF} 0.1: Customer Analytics Data Formatting

• {vchartr} 0.1.3: Interactive Charts with the ‘JavaScript’ ‘VChart’ Library

• {mapindiatools} 1.0.1: Mapping Data for ‘mapindia’ Package

• {dsTidyverseClient} 1.0.0: ‘DataSHIELD’ ‘Tidyverse’ Clientside Package

• {picohdr} 0.1.1: Read, Write and Manipulate High Dynamic Range Images

• {ggpca} 0.1.2: Publication-Ready PCA, t-SNE, and UMAP Plots

• {BSTZINB} 1.0.1: Association Among Disease Counts and Socio-Environmental Factors

• {redatamx} 1.0.0: R Interface to ‘Redatam’ Library

• {TMTI} 1.0.3: Too Many, Too Improbable (TMTI) Test Procedures

• {tapLock} 0.2.0: Seamless Single Sign-on for ‘shiny’

• {ShinyWizard} 1.1.3.11: An Interactive Wizard to Design, Build, and Deploy R Packages Demo Presentation

Updated Packages

🔍 Search on R-universe 🔍

• {spatstat.utils} 3.1-1: Utility Functions for ‘spatstat’ - diffify

• {ggeasy} 0.1.5: Easy Access to ‘ggplot2’ Commands - diffify

• {EIEntropy} 0.0.1.2: Ecological Inference Applying Entropy - diffify

• {dataCompare} 1.0.1: A ‘shiny’ App to Compare Two Data Frames - diffify

• {RaceID} 0.3.7: Identification of Cell Types, Inference of Lineage Trees, and Prediction of Noise Dynamics from Single-Cell RNA-Seq Data - diffify

• {iimi} 1.2.1: Identifying Infection with Machine Intelligence - diffify

• {basemaps} 0.0.8: Accessing Spatial Basemaps in R - diffify

• {mapgl} 0.1.4: Interactive Maps with ‘Mapbox GL JS’ and ‘MapLibre GL JS’ - diffify

• {priorsense} 1.0.4: Prior Diagnostics and Sensitivity Analysis - diffify

• {gitignore} 0.1.8: Create Useful .gitignore Files for your Project - diffify

• {ggstatsplot} 0.12.5: ‘ggplot2’ Based Plots with Statistical Details - diffify

• {flexlsx} 0.3.0: Exporting ‘flextable’ to ‘xlsx’ Files - diffify

• {iForecast} 1.0.9: Machine Learning Time Series Forecasting - diffify

• {dunlin} 0.1.8: Preprocessing Tools for Clinical Trial Data - diffify

• {statsExpressions} 1.6.1: Tidy Dataframes and Expressions with Statistical Details - diffify

• {proffer} 0.2.1: Profile R Code and Visualize with ‘Pprof’ - diffify

• {DescToolsAddIns} 1.12: Interactive Functions to be Used as Shortcuts in ‘RStudio’ - diffify

• {bio3d} 2.4-5: Biological Structure Analysis - diffify

• {manynet} 1.3.1: Many Ways to Make, Modify, Map, Mark, and Measure Myriad Networks - diffify

• {ggseqplot} 0.8.5: Render Sequence Plots using ‘ggplot2’ - diffify

• {RcmdrPlugin.DoE} 0.12-6: R Commander Plugin for (Industrial) Design of Experiments - diffify

• {rspm} 0.6.1: ‘RStudio’ Package Manager - diffify

• {progressr} 0.15.0: An Inclusive, Unifying API for Progress Updates - diffify

• {pdp} 0.8.2: Partial Dependence Plots - diffify

• {rgl} 1.3.12: 3D Visualization Using OpenGL - diffify

• {liver} 1.17: “Eating the Liver of Data Science” - diffify

• {circumplex} 1.0.0: Analysis and Visualization of Circular Data - diffify

Videos and Podcasts

• Listen to the R-Weekly Highlights Podcast

Tutorials

• Vetiver: Monitoring Models in Production

• Predictive scenarios simulation in R, Python and Excel using Techtonique API

• Delimiting the modelling background for scattered uneven occurrence data

• Street names: Day 2 of 30DayMapChallenge. Trying to find the genders in Lyon street names

• Lidar: Day 1 of 30DayMapChallenge. Playing with points

• Parameterized plots and reports with R and Quarto

• How to Use ‘OR’ Operator in R: A Comprehensive Guide for Beginners

• The Ultimate Guide to Creating Lists in R: From Basics to Advanced Examples

• How to Iterate Over Rows of Data Frame in R: A Complete Guide for Beginners

• Reading in multiple files without loops

• 3MW (Automate Anything With R & GitHub Actions)

• Connecting R to Postgres: From Database Creation to Data Manipulation and Charts

R Project Updates

Updates from R Core:

Updates from the R Contribution Working Group (RCWG):

• Announcing R Dev Day @ LatinR 2024: online, Monday 18 and Tuesday 19 November, 5:30pm - 8pm (UTC-3). Join us to work on contributions to the code, documentation and translations in base R. Free and open registration, deadline Saturday 16 Nov.

Call for Participation

Upcoming Events in 3 Months

Events in 3 Months:

• R/Pharma APAC track

• A list of R conferences and meetings

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

• Weekly R Workshops for Ukraine

Connect

Join the Data Science Learning Community

artistry

Today's artwork generated with #rstats and #ggplot2: pic.twitter.com/9UMkxbcpnA

— aRtsy package (@aRtsy_package) November 5, 2024

Image of Mexicali, Mexico created in #rstats using data from #OpenStreetMap. pic.twitter.com/7epnCkTPlp

— R City Views (@rcityviews) November 3, 2024

Quotes of the Week

Post by @[email protected]

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