STAT 486/586 Slides and Code
Slides
If the slides here aren’t updated or you are just interested in what the rmarkdown files look like, you can find the source files in the courses/stat486/slides/ folder in the github repository for my website.
Review
Data Wrangling in R
- Introduction to R - R Code
- Data Visualization - R Code
- Data Transformation - R Code
- Data Wrangling - R Code
Programming in R
Monte Carlo Methods
- Distributions - R Code
- Monte Carlo Methods - R Code
- Estimator evaluation - R Code
- Interval coverage - R Code
- Continuous time Markov process - R Code
Modeling
- Binomial analyses - R Code
- Normal analyses - R Code
- Linear regression - R Code
- Logistic regression - R Code
- Poisson regression - R Code
Reproducibility
- Data Science
- Rscripts - R Code
- Rmarkdown
- Interactivity - Rmd
- Shiny - R Code