mstdn.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
A general-purpose Mastodon server with a 500 character limit. All languages are welcome.

Administered by:

Server stats:

9.6K
active users

#rprogramming

2 posts2 participants0 posts today
Continued thread

👉 𝐁𝐥𝐨𝐠 𝟏: {𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐫𝐯𝐢𝐬}: 𝐀𝐧 𝐑 𝐩𝐚𝐜𝐤𝐚𝐠𝐞 𝐭𝐨 𝐬𝐲𝐧𝐭𝐡𝐞𝐬𝐢𝐬𝐞 𝐚𝐧𝐝 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐬𝐞 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐝𝐚𝐭𝐚 - 𝐏𝐚𝐫𝐭 𝟏: jyoti-bhogal.github.io/about-m

👉 𝐁𝐥𝐨𝐠 𝟐: {𝐠𝐞𝐧𝐞𝐫𝐚𝐭𝐞𝐫𝐯𝐢𝐬}: 𝐀𝐧 𝐑 𝐩𝐚𝐜𝐤𝐚𝐠𝐞 𝐭𝐨 𝐬𝐲𝐧𝐭𝐡𝐞𝐬𝐢𝐬𝐞, 𝐯𝐢𝐬𝐮𝐚𝐥𝐢𝐬𝐞 𝐜𝐥𝐢𝐧𝐢𝐜𝐚𝐥 𝐝𝐚𝐭𝐚, 𝐚𝐧𝐝 𝐜𝐫𝐞𝐚𝐭𝐞 𝐚 𝐰𝐨𝐫𝐤𝐟𝐥𝐨𝐰 - 𝐏𝐚𝐫𝐭 𝟐: jyoti-bhogal.github.io/about-m

Let me know your thoughts on the same!

I am glad to have worked collaboratively with my team - Edward Kao, Emily Wu, and Jessica Roa. Thank you, @rowlandm, for your mentorship!
#research #software #data #genomics #rstats #rprogramming

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:

thetestset.co
• Spotify: open.spotify.com/episode/7Cta4
• Apple Podcasts: podcasts.apple.com/us/podcast/

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

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

r-consortium.org/webinars/r-fo

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.

r-consortium.org/posts/brewing

Tidy topological machine learning with TDAvec and tdarec by Jason Cory Brunson, Alexsei Luchinsky, Umar Islambekov

Topological data analysis (TDA) is increasingly integrated into machine learning. Introducing two R packages—TDAvec and tdarec—to bridge TDA with the Tidymodels ecosystem, offering efficient persistent homology vectorization and tidy ML pipelines.

Bug reports, feature requests, and code contributions welcome!

r-consortium.org/posts/tidy-to