@hfrick@mastodon.social
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hfrick

@hfrick@mastodon.social

tidymodels team @Posit | PhD in Statistics | co-founder rladies.org | she/her

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MikeMahoney218, to random
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before | after

After: Mike Mahoney, PhD

hfrick,
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@MikeMahoney218 Congrats Dr Mike!! 🥳🥳🎓

zeileis, to random
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Very sad news: Our friend and colleague Fritz Leisch passed away this week.

Among his many contributions:

  • Original R Core Team member
  • Co-founder of CRAN
  • Sweave author for reproducible documents

R Core Team announcement:

https://stat.ethz.ch/pipermail/r-announce/2024/000702.html

BOKU obituary (in German):

https://boku.ac.at/news/newsitem/78553

hfrick,
@hfrick@mastodon.social avatar

@zeileis Fritz's classes in Munich were what got me interested in . His teaching made it a thing that I could not only use but also peek under the hood of. His usage of ICA to separate a very gobbled recording into the national anthems of Germany and Austria, live in the lecture, was a big aha moment of being able to use stats and machine learning on more than just tabular data!

hfrick, to random
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It's been a busy Q1 for tidymodels with the release of features for survival analysis and fairness - but that's not even all! The post for tune 1.2.0 shows further goodies in that release. This new Q1 roundup post surfaces even more from across the package collection! These roundup posts highlight changes nice enough to mention but maybe not big enough for their own post.

https://www.tidyverse.org/blog/2024/04/tidymodels-2024-q1/

hfrick, to random
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We've released support for survival analysis in tidymodels. This methodology is useful for all kinds of time-to-event data: That event may be a customer churning, a machine needing repairs or replacement, a shelter animal being adopted, etc.

For a new case study on tidymodels.org, that event is a complaint to the NYC Departments of Buildings being dispositioned. The analysis shows how to use tidymodels for censored regression, covering the whole process.

https://www.tidymodels.org/learn/statistics/survival-case-study/

hfrick, to random
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New: tidymodels supports survival analysis! This now unlocks the entire framework for analysis of time-to-event data.

On the tidyverse blog, I make a case for when this is useful and cover what's new to make this happen:

🔗 https://www.tidyverse.org/blog/2024/04/tidymodels-survival-analysis/

hfrick, to random
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What makes an album the greatest of all time?

The pudding has a visual essay exploring the Rolling Stone rankings of the "500 greatest albums of all time" from 2003, 2012, and 2020.

https://pudding.cool/2024/03/greatest-music/

hfrick,
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@sellorm sorry who? 😛

yabellini, to random
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Today I cooked for my kids (because husband is at dinner with his friends).

For the first time they told me that they loved it. As good as daddy food.

Maybe at 46 I'm finally learning to cook. 👩‍🍳 😅🤭

hfrick,
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@yabellini @Drmowinckels Can confirm that Yani can pull off volunteering his excellent cooking skills for a whole crowd 💯

hfrick, to random
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Would you like to give feedback on tidymodels? We'd love you to fill out our latest user survey to help us set our priorities for upcoming work!

More info and link in this blog post: https://www.tidyverse.org/blog/2024/02/tidymodels-2024-survey/

eliocamp, to random
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New display name 😁😁

hfrick,
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@eliocamp congratulations!! 🎓️

gvwilson, to random
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My thanks to everyone recommending 80s dance music for my daughter. Her response is, "I'm gay, dad - I got it covered."

hfrick,
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@gvwilson I once described a concert to @zeileis as "gay 80s music". His response was something along the lines of "Which 80s music isn't?" 😆

hfrick, (edited ) to random
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The tidymodels digest for Q4 2023 is here!

We continue to improve error messages, this time in recipes. And unlike usual, we are also looking ahead to Q1 because we are so excited! Survival analysis! 👀 Model fairness! 👀

https://www.tidyverse.org/blog/2024/01/tidymodels-2023-q4/

hfrick,
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@cbonsig yesss! 🎊 Sneak peak if you are extra curious: https://www.tidymodels.org/learn/#category=survival%20analysis

hfrick, to random
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Recognize this? 🚇

https://shorturl.at/adsEH

hfrick, to random
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I’ve been so excited to come to and give a keynote! Thank you for having me and letting me nerd out about cognitive load and programming. My slides on ways to read and write code that support your brain in its tasks are at https://hfrick.github.io/2023-latinr

The still empty auditorium before my talk: many white seats in the background with my laptop open and the title slide showing
My name badge

hfrick, to random
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swag knows what’s up!

hfrick, to random
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@Drmowinckels is killing it in taking us on SciFi adventures about packages, CRAN, and the R-universe! Do check out the video when they are available! The talk has magic, binaries, maturing as a developer, pragmatism, brain atlases, and ways to make your packages easily available for your users beyond CRAN and GitHub.

hfrick, to random
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The material from both tidymodels workshops, intro and advanced, is available at https://workshops.tidymodels.org/ if you are curious! The best resources for remote learning probably are https://www.tidymodels.org/ and https://www.tmwr.org/ though!

hfrick, to random
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And so it begins!

hfrick, to random
@hfrick@mastodon.social avatar

Bringing some neon to

hfrick, to random
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The tidymodels Q2 digest is here: a new package with data for modeling, a new method for spatial resampling (by @MikeMahoney218 ), and better search on tidymodels.org!

https://www.tidyverse.org/blog/2023/07/tidymodels-2023-q2/

hfrick, to random
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ICYMI "There is no useR! conference planned for 2023, the conference series will resume in 2024. Meanwhile, the R Foundation have endorsed a series of bridging events: useR! Regional 2023. See the Special Events section for more information": https://www.r-project.org/conferences/#special-events

hfrick, to random
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So lovely to hang out with @maelle in sunny (!) London today☀️

hfrick, to random
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A key component of the new tidymodels functionality for survival analysis are the new metrics. This post walks you through the Brier score and area under the ROC curve, as adapted for predictions of survival probability!

https://www.tidymodels.org/learn/statistics/survival-metrics/

hfrick, to random
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SatRday London is coming up! Next week Saturday (🥁 ), April 27, at King's College organised by @jumpingrivers I'll be talking about survival analysis with tidymodels. Come join us for a day of R-related talks, tickets are available at https://www.eventbrite.co.uk/e/satrdays-london-2024-registration-758588196717

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