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
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...
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...
👋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]
It's today! Please join me for a broadly accessible talk—Counting on Justice: Data, Race, and the Criminal Legal System—online at 2:30 ET. Abstract is in screenshot below and full deets are at:
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....
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)!
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...
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
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
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
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...
My nonprofit, QSIDE Institute, advances social justice through data science. In precarious times, we can make a difference *with your support.* Your donation sustains our work. See our incredible 2024 achievements & donate now—every dollar counts. P.S. Sharing this post makes a huge difference too!
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!
To educators in math, stats, data science, comp sci, or related fields: You asked how to incorporate social justice into your courses. We’re answering. Join our drop-in hours starting Tuesday, Nov 19. Sign in with an institutional email. Zoom link in the first comment. Spread the word!
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).
