Overview

• Statistical modeling, data visualization, and fun(ctional) programming in R
  • Introduction to the R programming language.
  • Working with various kinds of datasets.
  • The convenience and power of functional programming in R.

Fun with R

Presentation courtesy of Keegan Kang and Sara Venkatraman.

Abstract:

R is a programming language that is widely used in academia and industry for statistical computing. It has been particularly enhanced within the past year with stable releases of packages for reshaping large, complex datasets into structures that are easy to work with and creating beautiful visualizations. We will demonstrate these newer features as well as some of R’s powerful core functions for creating linear/nonlinear models, conducting statistical tests, and performing simulations. We will also discuss the advantages of R relative to other languages which are used widely in scientific computing.

Keegan and Sara have prepared an excellent Jupyter notebook for you to follow along with:

Fun with R