- MASS
- ISLR
- car (must use install.packages first though)

University of Michigan - Ann Arbor

R is both a programming language and an environment that is mostly used for statistical computing, data analysis, and machine learning algorithms. R's library allows a wide variety of techniques linear and nonlinear modeling, classical statistical tests, time-series analysis, classification, clustering, and others. The capabilities of R can be extended through the use of R software packages, which are packages created by the R community that can be used to conduct specialized techniques. 

R Software

James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An introduction to statistical learning (Vol. 112, pp. 3-7). New York: springer.

An Introduction to Statistical Learning with Applications in R

R website

- Swirl: Interactive Platform for R
- Codeacademy Course
- R for Data Science book
- tutorialspoint: R functions
- tutorialspoint: R syntax

References for Learning R

Use "$ R" to launch r interpreter. Once launched, prompts will show up before of each line of code to write that look like ">". The output of any of your code will have the line of output in brackets . If it were the first line of output, a "[1]" would appear before the output.

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