12/5/23
Q: How does recipe work? I don’t fully understand it.
A Recipe allows you to specify the steps you want to carry out on your dataset during modeling. For example, we used it to specify our outcome & predictors and to preprocess the data. You don’t actually DO anything with the recipe…until youbake()
, when then carries out your recipe on your data.
Q: Why did you specify CMAQ and aod when making the recipe? Why those two?
A: We wanted to be sure these were not removed from the analysis, given their inportance to predicting the outcome variable (check the data dictionary to see what these variables are!). To see if this was necessary, you could remove their specification and see if/how the results change!
Q: Is there any dataset available online so that we can try machine learning on our own?
A: Yes! In fact there are good/helpful tutorials and datasets on thetidymodels
documentation here.
Q: What’s a good R^2 to aim for generally?
A: This is very analysis specific. A model can be useful with a low \(R^2\), if prediction is otherwise very difficult. And the reverse can also be true.
Linear regression
weathersit
and temperature to interact? Which of these makes better sense?Pros:
It was interesting! I enjoyed the process of figuring out how to work with a group on a bigger project that involved using a lot of GitHub. It did end up taking a lot longer than I thought it would.
Hard work, but rewarding.
Great thanks to both teammates, the project is going very well and everyone is making a real contribution.
Cons:
I felt like level of difficulty suddenly leaped…having random group makes it hard to communicate… felt the rubric for this project is all over the place
The workload was a lot more than I expected.
Overall I think the case study was a lot of work especially during a busy part of the quarter.
CS01 has too much unexpected workload. (GitHub)
I actually wished we can have more teammate for this assignment.
Example: email
Example: Infographic
Group: Katie, Andrew, & Sidney
Example: IG slides
Link here
Example: infographic
Group: Dhathry, Markus & Linus
Example: Report
Example: Infographic
Group: Sid, Derek, Kushi
…so how do you make sure your case study/final project/data analysis tells a story/makes sense from start to finish? How did you all approach it?
We’re going to work through this document.
bookdown
, xaringan
, blogdown
, and quarto
An ode to Yihui Xie
bookdown
An R package by Yihui Xie to write online books, with the philosophy that it “should be technically easy to write a book, visually pleasant to view the book, fun to interact with the book, convenient to navigate through the book, straightforward for readers to contribute or leave feedback to the book author(s), and more importantly, authors should not always be distracted by typesetting details”
bookdown
: Authoring Books and Technical Documents with R Markdown, by Yihui Xiebookdown
galleryxaringan
An RMarkdown extension (based on JS library remark.js) to generate slides from .Rmd documents.
xaringan Presentations
blogdown
Enables personal website creation using R Markdown and Hugo (or Jekyll)
blogdown
: Creating websites with R Markdown, by Yihui Xie, Amber Thomas, and Alison Presmanes Hillan open-source scientific and technical publishing system built on Pandoc