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datascicollab.bsky.social

@datascicollab.bsky.social
35 followers 209 following 19 posts
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datascicollab.bsky.social @datascicollab.bsky.social · 08/07/2026
Check out our new version 3.0 apps! We updated to Bootstrap 5, providing dark mode options, and added new reproducibility tabs that produce Quarto reports for statistical analyses! #rStats Link to apps: shiny.colgate.edu/apps.html Feedback form: forms.gle/dJjNZGsZSB4h...
A screenshot of our ANOVA app!
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datascicollab.bsky.social @datascicollab.bsky.social · 15/08/2025
In our newly accepted paper, we explore using logistic and multinomial regression to identify contributions to "Allentown" by The Front Bottoms and Manchester Orchestra (with writing credit for All Get Out). Check it out! #rstats Paper: doi.org/10.1080/2693... Apps: shiny.colgate.edu/apps.html
doi.org
Battle of the Bands: Trying to Identify Contributions to a Collaboration
In this article, we create and explore a dataset containing musical and lyrical features for tracks from three rock bands – Manchester Orchestra, The Front Bottoms, and All Get Out – all of whom co...
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datascicollab.bsky.social @datascicollab.bsky.social · 16/04/2025
This helped us think of an alternate way (compared to the linked article) to assess approximate pivotality that is a little easier to interpret! onlinelibrary.wiley.com/doi/pdf/10.1...
onlinelibrary.wiley.com
Bootstrap diagnostics and remedies
Bootstrap diagnostics are used to assess the reliability of bootstrap calculations and may suggest useful modified calculations when these are possible. Concern focuses on susceptibility to peculiari...
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Reposted by @datascicollab.bsky.social
Erin Cooley @erincoo-psych.bsky.social · 15/04/2025
Our team developed a scale to measure subjective perceptions of one's own status as it relates to the perceived racial economic hierarchy. We think there are a lot of interesting research questions that could be asked with this measure! authors.elsevier.com/a/1kxIg-CmV5...
authors.elsevier.com
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datascicollab.bsky.social @datascicollab.bsky.social · 29/03/2025
👋Happy to do it for free if I can make it double as a lab/project for our students! Last semester we scraped recipes from the web to automate my grocery lists and make recipe cards. It'd be nice to have a more meaningful example. Email the details! 8]
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datascicollab.bsky.social @datascicollab.bsky.social · 21/02/2025
Why not just add HTML output? You can create the HTML as a character object and output it that way. shiny.posit.co/r/reference/...
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datascicollab.bsky.social @datascicollab.bsky.social · 02/01/2025
Joint work with @erincoo-psych.bsky.social et al. available today: Learning while Learning: Psychology Case Studies for Teaching Regression. We provide two case studies for teaching interactions in regression. There is an accompanying app on our resource page! www.tandfonline.com/doi/full/10....
tandfonline.com
Learning while Learning: Psychology Case Studies for Teaching Regression
In this article, we explore the use of two published datasets for teaching a wide range of students about regression models, with a particular focus on interaction terms. The two datasets come from...
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datascicollab.bsky.social @datascicollab.bsky.social · 14/12/2024
Some of this was already recommended, but atchwork, rayshader (@tylermorganwall.bsky.social), and gganimate would be good! Also, it could be interesting to do some mapping using tidycensus (‪@kylewalker.bsky.social)!
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datascicollab.bsky.social @datascicollab.bsky.social · 13/12/2024
Thanks!!
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datascicollab.bsky.social @datascicollab.bsky.social · 13/12/2024
Do you have a source for the data? This would make a cool example plot for our ggplot shiny app that supports bubble plot! shiny.colgate.edu/apps/Collabo...
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datascicollab.bsky.social @datascicollab.bsky.social · 04/12/2024
This is cool! We're working on a suite of shiny tools for standard statistical approaches. We'd love to hear what you think! shiny.colgate.edu/resources.html
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datascicollab.bsky.social @datascicollab.bsky.social · 04/12/2024
We find that using our data summary app can help create a really good starting ggplot that can be polished further (using the underlying R code which is available in the app). This is especially true for things like doughnut or mosaic plots. shiny.colgate.edu/resources.html
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datascicollab.bsky.social @datascicollab.bsky.social · 04/12/2024
We provide an easy-to-use shiny app that helps users create such plots without the steep learning curve of a new programming language! See that and our other resources here: shiny.colgate.edu/resources.html
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datascicollab.bsky.social @datascicollab.bsky.social · 03/12/2024
Maybe I'm grumpy because I use rcpp often and switching back and forth in the same code is not fun!
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datascicollab.bsky.social @datascicollab.bsky.social · 03/12/2024
You can use mathjax to present LaTeX and that should work. If you have a service you use (like digital ocean), it's not too hard to build out your own shiny server to do whatever you want using tutorials like this: www.digitalocean.com/community/tu...
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datascicollab.bsky.social @datascicollab.bsky.social · 03/12/2024
How has no one said that it starts indexing at 1 instead of 0?
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datascicollab.bsky.social @datascicollab.bsky.social · 01/12/2024
Are the data publicly available? I didn't see a file in the preview at the journal article. We're always looking for good examples!
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datascicollab.bsky.social @datascicollab.bsky.social · 19/11/2024
Are you comparing patients and clinicians or just one altogether? Our summarizing data app can do either. Try out a bar plot, mosaic plot, or doughnut plot!
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datascicollab.bsky.social @datascicollab.bsky.social · 18/11/2024
We love Rayshader! What a great package!
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datascicollab.bsky.social @datascicollab.bsky.social · 18/11/2024
While y'all are at it, check out Adam Cunningham's probability playground (www.acsu.buffalo.edu/~adamcunn/pr...). Self-plug: We have two workable apps for probability: one for doing probability computations and one for resampling/sampling distributions (shiny.colgate.edu/resources.html).
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