Overview

We need to create a first draft of this assignment. Please add your files to the appropriate folder in the intro.r.private GitHub repository.

Development Notes

We should just read-in Rds files that are ready for the repeated operations examples. Nothing extraneous.
This module quiz should cover the material in the Repeated Operations I lab pretty closely.

[ ] When to write functions
[ ] Parts of a function
[ ] How to write fucntions
[ ] Giving functions default values
[ ] Return values
[ ] Lexical scoping
[ ] Tidy evaluation
[ ] Convert 7 and 9 to missing (may have to update the data) using a user defined function and across().
[ ] Write a function to calculate continuous stats using the temps data (https://app.clickup.com/t/td2th7)
[ ] Write a function to calculate categorical stats using class survey data (https://app.clickup.com/t/td2thb)

[ ] Rename multiple columns with rename_with and a character vector (may have to give the study data generic names to start with).
[ ] The across() function arguments
- [ ] Assign new variable names with across() inside mutate() using the .names argument.
[ ] Across() with mutate().
- [ ] Convert multiple column types at once with across().
- [ ] Convert character vectors to factors using across()
[ ] Across() with summarise()
- [ ] Calculate the number of missing for each variable using across() with summarize.
- [ ] Pivot summary stats table.
[ ] Use across() with filter() to do complete case analysis.
[ ] In the restructuring data lab, I wanted to graph mean repeat time by initial incident complaint. This was going to be really hard without repeated operations. Show them how to do it with repeated operations. (https://app.clickup.com/t/td2th9)

2023-07-23: I didn't get this finished in time to add it to Canvas this semester. Try again next semester.

I was working on this quiz in tandem with making updates to the lab (#19).
I reviewed task 1-3 in the lab.
When you start again, finish reviewing task 4 in the lab and then make a similar task in the module quiz. You started to do this, but didn't finish.