Resources
R
- R homepage
- Download R
- Quick R (all types of examples)
- An Introduction to R
- R Programming for Data Science by Roger D. Peng
- Exploratory Data Analysis with R by Roger D. Peng
- Efficient R programming by Colin Gillespie and Robin Lovelace
- Advanced R Development by Hadley Wickham
- Advanced R Solutions by Malte Grosser and Henning Bumann
- Roger Peng’s Computing for Data Analysis Videos
- Learning Statistics/R on youtube
- DataCamp
- Free Code School intro R Course
- swirl “swirl teaches you R programming and data science interactively, at your own pace, and right in the R console”
- Why Use Docker with R?
RStudio
Data Camp
Graphics
Shiny Apps
- Shiny
- shinyapps.io server
- Interactive web-based data visualization with R, plotly, and shiny
- Shiny Apps Documentation
- Shiny Cheatsheet
- Building Shiny Apps
- Simulating Confidence Intervals (running on RStudio Shiny Apps server)
- Normal Distribution Calculator (running on ASU’s connect server)
- Normal Distribution Calculator (running on RStudio Shiny Apps server)
- How to get your very own RStudio Server and Shiny Server with DigitalOcean
- Building Dashboards with Shiny Tutorial
- Dynamic Dashboards with Shiny
R Package
Building
Using 
Reproducible
Analysis
knitrHomepageknitrPackage Development on GitHub- Bookdown: Authoring Books with R Markdown by Yihui Xie
- Reproducible Research with R/RStudio Development on GitHub
- CRAN views of Reproducible Analysis
- Reproducible Reporting (Video) (58:03)
- Getting used to R, RStudio, and R Markdown by Chester Ismay
- My Final College Paper by Chester Ismay
- A Guide to Reproducible Code in Ecology and Evolution
- Good enough practices in scientific computing
R Markdown
Creating Slides with
R
Git
- Happy Git and GitHub for the useR by Jenny Bryan and the STAT 545 TAs
- Download Git
- GitHub Help Page
- Create a Project
- Git Cheatsheet
- Free Code School Intro to Git
- Pro Git Book
- Try Git on GitHub
- Clone a GitHub Repo with RStudio (Video) (5:05)
- Clone a GitHub Repo with RStudio (Slides)
- Collaboration and time travel: version control with git, github and RStudio (Video) (48:56)
Using Unix Like
Commands
Data Science
- R for Data Science by Garrett Grolemund and Hadley Wickham
- MODERN DIVE: An Introduction to Statistical and Data Sciences via R by Chester Ismay and Albert Y. Kim
- Introduction to Data Science by Hui Lin and Ming Li
- Introduction to Data Science by Tiffany-Anne Timbers, Trevor Campbell and Melissa Lee
- The caret Package
- Feature Engineering and Selection: A Practical Approach for Predictive Models by Max Kuhn and Kjell Johnson
- Tidymodels
- Tidy Text Mining with R by Julia Silge and David Robinson
- OnePageR
- Interpretable Machine Learning by Christoph Molnar
- Beyond Multiple Linear Regression
- Databricks—Databricks Community Edition
\(\LaTeX\)
Zotero
Alan T. Arnholt, Ph.D.
Professor of Statistics
arnholtat@appstate.edu
Office Hours Click for Availability
Mailing Address
Appalachian State University
Department of Mathematical Sciences
Walker Hall 237
121 Bodenheimer Dr
Boone, NC 28608