Eric Nantz

R Weekly Highlights

Science EN ↓ 245 Folgen

The R Weekly podcast offers a quick description of the latest highlighted stories and other stories from the latest R Weekly issue, as curated by the R Weekly team and R community.

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Autor

Eric Nantz

Kategorie

Science

Podcast-Website

serve.podhome.fm

Neueste Folge

9. Okt 2026

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Issue 2021-W24 Highlights 15.06.2021

Using Animal Crossing data with the Google Vision API and machine learning, the latest Shiny developer series with Nick Strayer, and ensuring robust database transactions in Shiny Episode Links This week's curator: Tony Elhabr ([@TonyElHabr] Everybody Loves Raymond: Running Animal Crossing Villagers through the Google Vision API Shiny Developer Series Episode 21 : RStudio software engineer Nic...

Issue 2021-W23 Highlights 08.06.2021

Reusing knitr chunk options, the combo of VS-Code and R in 2021, and say hello to gggrid Episode Links This week's curator: Miles McBain ( @MilesMcBain ) Reusing Code Chunks and Chunk Options with knitr R in 2021 with VSCode 'gggrid' it's g-g-great! Accessing 'grid' from 'ggplot2' Entire issue available at rweekly.org/2021-W23

Issue 2021-W22 Highlights 01.06.2021

Extracting and analyzing Apple health data, and the top 40 CRAN packages for April Episode Links This week's curator: Wolfram Qin Changes in Apple Health Export April 2021: "Top 40" New CRAN Packages Entire issue available at rweekly.org/2021-W22 Supplemental Resources https://www.healthcareitnews.com/news/timeline-how-apple-piecing-together-its-secret-healthcare-plan https://github....

Issue 2021-W21 Highlights 26.05.2021

The big new features in R 4.1.0, what makes a great function example, and evolution of a ggplot Episode Links This week's curator: Kelly Bodwin ( @KellyBodwin ) New features in R 4.1.0 Package documentation: What makes a good example? Evolution of a ggplot Entire issue available at rweekly.org/2021-W21 Supplemental Resources Full R 4.1.0 changelog Winston Chang's R read-only GitHub Repo mi...

Issue 2021-W20 Highlights 18.05.2021

A tidymodels approach to the Introduction to Statistical Learning learning labs, exploring class imbalance on the TidyX video series, and encrypting and hosting a R Markdown report. Episode Links This week's curator: Ryo Nakagawara ( @R_by_Ryo ) ISLR: tidymodels labs : This book aims to be a complement to the 1st version An Introduction to Statistical Learning book with translations of the lab...

Issue 2021-W19 Highlights 11.05.2021

Using the trifecta of map, walk, and pivot for data processing, obtaining quotes from the Friends characters in R, and putting the spolight on Shiny user interfaces in the Shiny Dev Series. Episode Links This week's curator: Hey, it's me, Eric! ( @theRcast ) Map, Walk, Pivot Introducing {centralperk}: Get quotes from the main characters of the TV show 'Friends' Shiny Developer Seri...

Issue 2021-W18 Highlights 04.05.2021

A call to action for testing R 4.1, a practical guide to unit tests, and a tutorial on creating pizza charts with football data Episode Links This week's curator: Jonathan Carroll ( @carroll_jono ) R Can Use Your Help: Testing R Before Release Writing unit tests in R Soccer Percentile Radars/Pizza's Tutorial Entire issue available at rweekly.org/2021-W18

Issue 2021-W17 Highlights 27.04.2021

Exploring wikidata with the {tidywikidatar} package, accessibility improvements in {knitr}, and the top 40 new CRAN packages for March. Episode Links This week's curator: Batool Almazrouq (@batool664) What does Wikidata know about members of the European Parliament? New in knitr: Improved accessibility with image alt text March 2021: "Top 40" New CRAN Packages Entire issue available...

Issue 2021-W16 Highlights 20.04.2021

The latest news from rOpenSci, creating ggplot2 postcards with ggirl, and an introduction to process mining in R Episode Links This week's curator: Jon Calder ( @jonmcalder ) rOpenSci News Digest, April 2021 {ggirl} 1.0.1 : An R package that lets you make ggplots in real life Process Mining in 10 minutes with R Entire issue available at rweekly.org/2021-W16 Supplemental Resources rOpenSci Soft...

Issue 2021-W15 Highlights 13.04.2021

reprex 2.0, using Kubernetes and the future package, and SQL in RMarkdown Episode Links This week's curator: Colin Faye ( @_colinFay ) reprex 2.0.0 Using Kubernetes and the Future Package to Easily Parallelize R in the Cloud sql-in-rmarkdown Entire issue available at rweekly.org/2021-W15 Supplemental Resources Jenny Bryan's rstudio::conf 2020 keynote materials : Object of type 'closure...

Issue 2021-W14 Highlights 05.04.2021

{workflowsets} with tidy models, exploring other {ggplot2} goems, and top 10 R errors Episode Links This week's curator: Robert Hickman ( @robwhickman ) workflowsets 0.0.1 Exploring Other ggplot2 Geoms The top 10 R errors, the 7th one will surprise you Entire issue available at rweekly.org/2021-W14 Supplemental Resources Screening many models chapter from Tidy Modeling with R Extending ggplot2...

Issue 2021-W13 Highlights 30.03.2021

The Minard System in R, ggplot2 wizardry, a slackbot created with plumber and googleCouldRunner Episode Links This week's curator: Tony Elhabr ( @TonyElHabr ) "The Minard System" in R A guide to creating a Slackbot that sends weekly updates via plumber, googleCloudRunner and Cloud Run ggplot2 Wizardry: My Favorite Tricks and secrets for Beautiful Plots in R, Cédric Scherer Entire iss...

Issue 2021-W12 Highlights 23.03.2021

{gt} tables cookbook, best weather cities, and mapping over many files Episode Links This week's curator: Miles McBain ( @MilesMcBain ) The GT Cookbook Cities with Best (and Worst) Weather, 2021 edition How to treat as many files as fit on your hard disk without loops (sorta) nor running out of memory all the while being as lazy as possible Supplemental Resources GT Advanced Cookbook R-Podcast...

Issue 2021-W11 Highlights 16.03.2021

Time series forecasting with torch, automated scraping of stock metrics with GitHub Actions, and default knitr options and hooks. Episode Links This week's curator: Robert Hickman ( @robwhickman ) Introductory time series forecasting with torch Daily Stock Gainers Automated Web Scraping in R with Github Actions Default knitr options and hooks Supplemental Resources Introducing Torch for R Auto...

Issue 2021-W10 Highlights 09.03.2021

Serverless dashboards, learning tidy evaluation by re-implementing dplyr, and bootstrap confidence intervals with tidy modeling Episode Links This week's curator: Kelly Bodwin ( @KellyBodwin ) Server(shiny)-less dashboards with R, {htmlwidgets} and {crosstalk} Learning tidy eval by re-implementing dplyr Bootstrap Confidence Intervals for Super Bowl Commercials Supplemental Resources Learning T...

Issue 2021-W09 Highlights 02.03.2021

Random effects, GGanimate intro, and updates to dplyr backends Episode Links This week's curator: Ryo Nakagawara ( @R_by_Ryo ) Random effects and penalized splines are the same thing GGanimating a geographic introduction dplyr backends: multidplyr 0.1.0, dtplyr 1.1.0, dbplyr 2.1.0 Supplemental Resources https://stats.stackexchange.com/questions/55364/mixed-model-in-simple-english https://towar...

Issue 2021-W08 Highlights 23.02.2021

Multi-page Shiny apps, R package citation, and refactoring the squashinformr package Episode Links This week's curator: Eric Nantz ( @theRcast ) Multi-page {shiny} Applications with {brochure} Make Your R Package Easier to Cite Refactoring {squashinformr}

Issue 2021-W07 Highlights 16.02.2021

Installing packages, {distill} for personal websites, and Shiny app stories Episode Links This week's curator: Jonathan Carroll ( @carroll_jono ) The Comprehensive Guide to Installing R Packages from CRAN, Bioconductor, GitHub and Co. Distill it down Introducing Shiny App Stories Supplemental Resources 20 Years of R Package management basics (Mozilla Developer Network Web Docs) Sharing on Shor...

Issue 2021-W06 Highlights 09.02.2021

Episode Links This week's curator: Tony Elhabr ( @TonyElHabr ) Shiny 1.6: Theming, Caching, Accessibility Remote Pair Programming in R Using Visual Studio Code and Live Share Lists are my secret weapon for reporting stats with knitr Supplemental Resources Custom theming in Shiny & R Markdown with {bslib} & {thematic} (rstudio::global 2021) Making Shiny apps faster with caching (rstudio...

Issue 2021-W05 Highlights 02.02.2021

rstudio::global 2021 and UseR! 2021 call for abstracts Episode Links This week's curator: Jon Calder ( @jonmcalder ) rstudio::global 2021 talks rstudio::global(2021) %>% summarise() 15th Mar: useR2021 Call for Abstracts Supplemental Resources Lifelong Learning with R Weekly (rstudio::global 2021) Your Public Garden - rstudio::global(2021) Keynote by Vicki Boykis

Issue 2021-W04 Highlights 26.01.2021

{blogdown} v1.0, announcing {pagedreport}, and the rOpenSci Community Contributing Guide Episode Links This week's curator: Colin Faye ( @_colinFay ) Announcing blogdown v1.0 Announcing pagedreport Introducing the rOpenSci Community Contributing Guide Supplemental Resources Up & running with blogdown in 2021 Yihui's perspective on early development of {blogdown} from episode 24 of The...

Issue 2021-W03 Highlights 18.01.2021

Data Science as an atomic habit, Japan soccer league season review, Fantasy football scheduling, and UseR! 2021 call for tutorials Episode Links This week's curator: Wolfram King Data science as an atomic habit J.League Soccer 2020 Season Review with R! Fantasy Football and the Classical Scheduling Problem UseR! 2021: Call for Tutorials Supplemental Resources Book Review: Atomic Habits ffsched...

Issue 2021-W02 Highlights 11.01.2021

Plots with GitHub Actions, and major updates to {renv} and {fastai} Episode Links This week's curator: Batool Almazrouq Automatic Rendering of a Plot with GitHub Actions {renv} 0.12.5 : Project Environments {fastai} 2.0.2 : Interface to fastai Supplemental Resources GitHub Actions: built by you, run by us R-Podcast Episode 32: RStudio's Big Move and Kevin Ushey Fully containerized R dev en...

Issue 2021-W01 Highlights 05.01.2021

Data Science course in a box, up and running with blogdown, and voting visualization in Switzerland Episode Links This week's curator: Wolfram King Data Science Course in a Box - The core content of the course focuses on data acquisition and wrangling, exploratory data analysis, data visualization, inference, modelling, and effective communication of results. Up & running with blogdown in...

Issue 2020-52 Highlights 28.12.2020

R Markdown family updates & table contest results Episode Links This week's curator: Wolfram King Winners of the 2020 RStudio Table Contest Latest News from the R Markdown Family Supplemental Resources Editable DataTables in R Shiny using SQL

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