R Weekly Highlights

By Eric Nantz

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.... more

· Science

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FAQs about R Weekly Highlights:

How many episodes does R Weekly Highlights have?

The podcast currently has 209 episodes available.

R Weekly Highlights episodes:

May 04, 2021Issue 2021-W18 Highlights
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
...more
9min
April 27, 2021Issue 2021-W17 Highlights
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 at rweekly.org/2021-W17
Supplemental Resources
https://news.yahoo.com/wikipedia-turns-20-aims-reach-035212015.html
https://github.com/yihui/knitr/releases/tag/v1.32
https://cran.r-project.org/web/packages/pkglite/index.html
https://flujoo.github.io/gm/
...more
13min
April 20, 2021Issue 2021-W16 Highlights
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 Software Peer Review
{dataspice} package peer review GH isssue
{brochure}: Natively multipage Shiny apps
What Process Mining Is, and Why Companies Should Do It
{bupaR}: Business process analysis in R
...more
11min
April 13, 2021Issue 2021-W15 Highlights
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' is not subsettable
High Performance and Parallel Computing CRAN task view
Future: Simple Async, Parallel & Distributed Processing in R rstudio::conf 2020 resources
tidyquery: Query R data frames with SQL
...more
14min
April 05, 2021Issue 2021-W14 Highlights
{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 vignette
...more
10min
March 30, 2021Issue 2021-W13 Highlights
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 issue available at rweekly.org/2021-W13
Supplemental Resources
DataViz History Series: Edward Tufte, Charles Minard, Napoleon and the Russian Campaign of 1812 - Part 2 and Part 5
{ggplot2} Wizardry recorded talk from UseR Oslo meetup (25 March 2021)
Introducing googleCouldRunnner - serverless R on Google Could Platform
...more
11min
March 23, 2021Issue 2021-W12 Highlights
{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 episode 27: Get the {gt} Tables!
R-Weekly Highlights Episode 24: {blogdown} v1.0, announcing {pagedreport}, and the rOpenSci Community Contributing Guide
R-Weekly Highlights episode 5: Guidelines for creating better tables, a controlled vocabulary to name data frame columns, and exploring reactive in Shiny applications
Bruno Rodrigues' YouTube Channel
...more
13min
March 16, 2021Issue 2021-W11 Highlights
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
Automating COVID-19 PDF scraping
1littlecoder YouTube channel
Shiny Developer Series
...more
12min
March 09, 2021Issue 2021-W10 Highlights
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 Tidy Evaluation by Reimplementing dplyr (Government & Public Sector R Conference)
Programming with dplyr vignette
...more
11min
March 02, 2021Issue 2021-W09 Highlights
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://towardsdatascience.com/how-linear-mixed-model-works-350950a82911
https://twitter.com/tjmahr/status/1365424619344318466
...more
11min

FAQs about R Weekly Highlights:

How many episodes does R Weekly Highlights have?

The podcast currently has 209 episodes available.

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