I did another post on use with() and within() from Base R, simply because it bears repeating. I don't think it gets enough eyeballs.

Post: https://www.spsanderson.com/steveondata/posts/2025-07-14/index.html

Ever wonder how the #tidyverse came to be? #TheTestSet 's first episode features @hadleywickham on his accidental empire of #RStats packages, bear encounters, and more!

Stream "Spreadsheets, bikes, and the accidental empire of R packages" at:

• https://thetestset.co
• Spotify: https://open.spotify.com/episode/7Cta4KzehwPpM3P6fHaqfQ?si=eJXDgBaeT9WS5BeTiVOh-w
• Apple Podcasts: https://podcasts.apple.com/us/podcast/spreadsheets-bikes-and-the-accidental-empire-of/id1823736938?i=1000715173867

Using dplyr and ggplot2 in R can significantly streamline your data analysis process, making it easier to work with complex data sets.

I have created a video tutorial in collaboration with Albert Rapp, where I demonstrate how to do this in practice: https://www.youtube.com/watch?v=EKISB0gnue4

Today was another post on using xtabs() in R #R #RStats #Blog #Code #RProgramming Post: www.spsanderson.com/steveondata/...

How to Use xtabs() in R to Cal...

Today was another post on using xtabs() in R

#R #RStats #Blog #Code #RProgramming

Post: https://www.spsanderson.com/steveondata/posts/2025-06-30/

3 great free R Consortium webinars coming up this next week! Register now!

1 of 3

"Scaling the r-spatial ecosystem for the modern composable data pipeline"

with Dewey Dunnington (@paleolimbot), Senior Software Engineer at Wherobots

June 24, 1pm ET

Register now! https://r-consortium.org/webinars/scaling-the-r-spatial-ecosystem-for-the-modern-composable-data-pipeline.html

R for Health Technology Assessment (HTA): Identifying Needs, Streamlining Processes, and Building Bridges

June 30, 2025 - 7am PT / 10am ET / 4pm CEST

https://r-consortium.org/webinars/r-for-health-technology-assessment-identifying-needs-streamlining-processes-and-building-bridges.html

The HTA Working Group within the R Consortium has the goal of supporting the use of R for HTA across academia, industry and authorities.

In this webinar we will present our initial findings! Open to all!

Brewing Success with R.U.M.: How Inclusivity Fuels Manchester's Thriving R Community

The R User Group at the University of Manchester (R.U.M.) is bringing together a diverse community of students, researchers, and staff dedicated to advancing their skills in R programming. Their shared goal is to create an inclusive environment for learning and collaboration, which has driven the growth and success of the R.U.M. community.

https://r-consortium.org/posts/brewing-success-with-rum-how-inclusivity-fuels-manchesters-thriving-r-community/

The R Consortium’s Infrastructure Steering Committee (ISC) is proud to announce the first round of 2025 grant recipients.

Find out about the seven new projects receiving support to enhance and expand the capabilities of the R ecosystem. The projects range from economic policy tools and ecological data pipelines to foundational software engineering improvements.

https://r-consortium.org/posts/r-consortium-awards-first-round-of-2025-isc-grants/

Generate and visualize a Two Dimensional Random Walk in #R with #RandomWalker

Level up your R functions! Discover best practices for returning multiple values - from simple vectors to structured outputs. Perfect for data pipeline development.

https://www.spsanderson.com/steveondata/posts/2025-05-05/

Level up your R functions! Discover best practices for returning multiple values - from simple vectors to structured outputs. Perfect for data pipeline development.

https://www.spsanderson.com/steveondata/posts/2025-05-05/

¡Reto #30DayChartChallenge 2025 COMPLETADO! 30 días, 30 visualizaciones con #RStats y #ggplot2.

Ha sido un viaje increíble explorando comparaciones, distribuciones, relaciones (¡animales!), series temporales (sociales, económicas) e incertidumbre (riesgo, exoplanetas, mapas...).

Puedes ver la galería completa (y todo el código) en mi repositorio:
https://github.com/michal0091/dataviz/tree/main/R/30DayChartChallenge2025

¡Gracias por seguir el reto! #dataviz #DataVisualization #DataStorytelling #ChallengeComplete #Rprogramming

If you're still using raw R outputs for presentations, it's time for an upgrade! Tools like gtsummary bring your statistical results to life, making them much more digestible for non-technical audiences.

The visualization included here was originally shared in a post by Dr. Alexander Krannich. Thanks to Alexander for inspiring me to create this post.

More details are available at this link: http://eepurl.com/gH6myT

Getting the medical policies

New version of R is out!

Our Data Scientist, Russ Hyde, has put together a quick review of the key features and changes in R 4.5 — from new language features to graphics updates and more.

Read the full blog post here: https://www.jumpingrivers.com/blog/whats-new-r45/

#rstats #update #Rprogramming #datascience #opensource
https://www.jumpingrivers.com/blog/whats-new-r45/

Handling missing data is a critical step in data analysis, as failing to address it properly can lead to biased results and reduced analytical power. The mice package for R, short for Multivariate Imputation by Chained Equations, provides a robust and flexible framework for handling missing values through multiple imputation.

The visualizations shown below originate from the package website: https://github.com/amices/mice

More info: http://eepurl.com/gH6myT

Big Book of R

https://www.bigbookofr.com/