This is a set of tutorials with the main purpose of teaching the basics of R in the tidyverse style as applied to Sports Analytics. The files are originally intended for members of the Sports Analytics Club at NC State so examples are geared towards those purposes. Members participating in the tutorials are expected to be Freshman or those new to programming so some topics are not covered very in depth as meetings are only 1 hour long. This may become very evident to those reading through intRo 3 and 4.
intRo 1- Basics.R: This file includes coding basics such as data structures, data types, good commenting practices, and how to use the help function. Skills also taught are tidyverse functions useful for manipulating data such as select() and mutate().
intRo 2- Data and Graphing.Rmd: This 1st part of the tutorial describes how to read in data as well as very basic web scraping html tables. The 2nd parat of the tutorial is about where to find data on the internet. A lot of the data sources can be found on Brendan Kent's website https://brendankent.com/2021/03/09/free-sports-data-sources/. Finally, this tutorial introduces plotting with the ggplot2 package by walking through the process of making a histogram with data from https://kenpom.com.
intRo 3- Sharing.Rmd: This tutorial is about sharing your code and graphics. This takes users through the basics of using Github and also provides some tips on sharing your graphics on Twitter.
intRo 4- R Markdown.Rmd: This file is an introduction to R Markdown, primarily making PDFs with LaTeX. The tutorial describes text formatting as well as writing code in R Markdown.
intRo 5- Modeling.Rmd: This file explains the basics of creating a Linear Model in R using the lm() fucntion. Plotting of the model as well as interpretation of coefficients is also covered.
log regression.R - This a very quick tutorial I threw together to present on 1/31/2022 at Sports Analytics Club at NC State. We cover logistic regression and linear regression using the hoopR package. I intend on replacing intRo 5- Modeling.Rmd with this eventually.
I want to give a special thanks to Graham Pash and Jason Thompson for creating the original intRo tutorial whose contents are spread throughout the tutorials.
README Last Updated: 1/27/2022