Cofounded by @willcipolli and @JoshuaFinnell.
Joined October 2021
- Tweets106
- Following73
- Followers73
- Likes28
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/dJjNZGsZSB4hVUZR9
ALT A screenshot of our ANOVA app!
Data Science Collaboratory retweeted
We've got a cool new part-time, remote opportunity with our group. We're doing 10-week project-based Quantitative Research internships (paid) with the expectation of 15 hours/week of work.
We designed this with students in mind, but open to anyone. Apply at link ⬇️
In our newly accepted paper, we explore using logistic and multinomial regression to identify contributions to "Allentown" by @TheFrontBottoms and @ManchesterOrch (with writing credit for @AllGetOut ). Check it out! #rstats
We are aware of a MathJax issue (not ours) that is causing our apps to look like a horrible mess! We are working on a testing a fix that we will soon push to production.
Check out our newly updated probability and sampling distribution apps! We've expanded the capabilities,
bug-fixed, and substantially enhanced the UI! #rstats
Find our apps here: shiny.colgate.edu/resources.…
Check out our newly updated summarize data app! We've bug-fixed, enhanced the UI and added the ability to create ridge plots, mosaic plots, and bubble plots! #rstats
shiny.colgate.edu/resources.…
ALT A ridge plot of body mass (g) by species
ALT A mosaic plot for species by island
ALT A bubble plot of bill length(mm) by bill depth (mm) with point size determined by body mass (g), and grouped by species
Our summer students are hard at work! So far this summer we've reworked our "Summarize Data" app to create mosaic plots, ridge plots, and bubble plots! Welcome aboard Sahana and Ariza -- y'all are doing great work!
Randomization helps with intuition (shuffles only make sense under the null), the bootstrap helps with thinking about sampling variability (through resampling), and t ties these concepts together with CLT! All three tests are done in our t-test app: shiny.colgate.edu/apps/Colla…
ALT T-test (top), Bootstrap (middle) and randomization (bottom) all yield similar results!
Working on our presentation for UPSTAT! Come see us Saturday, April 13th in the 9 am session "New Ideas for the Classroom!" community.amstat.org/rochest…
How AI is changing the practice & methodology? Join us at UPSTAT in Rochester April 12-13, 2024!
community.amstat.org/rochest…
Excited to present our work at the 2024 UPSTAT 2024 Conference April 12-13! We'll post the session details once they are published. We hope to see you there!
community.amstat.org/rochest…
Data Science Collaboratory retweeted
A recent Colgate University Research magazine article on some fun, collaborative work analyzing the use of narrative structures and elements on social media news.colgate.edu/researchmag…
Data Science Collaboratory retweeted
Our Psychological and Brain Sciences department is hiring one or two VAPs. Both positions are open to a variety of areas, though emphasis on cognitive, social, personality, developmental, clinical psychology, or neuroscience are encouraged.
Data Science Collaboratory retweeted
A reminder the Environmental Studies Program at Colgate University invites applications for a 1-year visiting assistant professor position in environmental policy & politics, beginning fall semester 2024. Contact me with questions. More info here: apply.interfolio.com/140751
Data Science Collaboratory retweeted
We're looking for a (paid) intern to join our Football Information team at the @Lions!
If you're highly passionate about both football and data analysis, check out the posting below:
🏈 Summer Intern: boards.greenhouse.io/detroit…
We should be back up and running! Thanks to the Research and High-Performance Computing team @colgateuniv for making it happen so quickly on such short notice! Let us know if you experience any further issues!
PS: Please reach out with your use cases! We'd love to support instructors who are using these apps in the classroom, researchers looking to conduct their analyses, or others who found another purpose!
Don't forget you can leave feedback here:
docs.google.com/forms/d/e/1F…