Part 8. Statistical Modeling/More purrr
Class Video
Slides
No slides this week.
Post-Class
Please fill out the following survey and we will discuss the results during the next lecture. All responses will be anonymous.
- Clearest Point: What was the most clear part of the lecture?
- Muddiest Point: What was the most unclear part of the lecture to you?
- Anything Else: Is there something you’d like me to know?
Muddiest Points
I still find purr very confusing. But I am beginning to understand it more after using it on linear regression models
the nesting of tables and the following functions we applied still bends my mind a bit.
nest() and unnest() seem really really cool but I would be interested to learn a little bit more about how they’re used
purrr df/model tables. You say it’s a way to screen a lot of models, but it really seems like a way to apply one model to a bunch of dfs. Like, you’d need another dimension to test more models.
making/using list-columns
Thank you
While the nesting and un-nesting were more challenging topics, I thought the examples were great and I felt pretty good about everything by the end.
I thought that ggpairs was a cool function and would have been useful for the biostats project
Thanks for teaching cool stuff :)
Our Minds are Full
My brain is always so full by the end of the class that I forget what was fuzzy and what was clear.