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Add todo for STAT 486
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jarad committed Jan 13, 2024
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## Assignments

Use a smaller RData file on that assignment
- Use a smaller RData file on that assignment
- Require more turning in of code. Force them to use dplyr

## Slides/Lectures

- Introduce cut() to convert numeric variables into categorical variables
- Initial discussion of R objects should be reduced and more discussion occur
during R object slides.
- Remove 08-R_object lecture/slides and increase function slides
- Incorporate graphics with modeling
- Make graphic match the model
- What to put on x-axis: continuous variable with most levels, explanatory variables, predictions
- Reorganize Monte Carlo module
- Distributions (add `sample` and `set.seed`)
- Monte Carlo
- Processes
- Estimator
- Interval
- Improve Rmarkdown/quarto slides
- Include caching
- Significant digits
- Commenting code
- sample() function
- missing data

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