Introduction to Statistical Programming I (R)

Catalog description

This class is an introduction to programming in R, targeted at those with minimal programming knowledge. Students will learn the core ideas of programming (functions, objects, data structures, input and output, debugging, and logical design) through writing code to assist in numerical and graphical statistical analyses. Students will learn how to write maintainable code, and to test code for correctness. They will then learn how to set up stochastic simulations and how to work with and filter large data sets. Since code is also an important form of communication among scientists, students will learn how to comment and organize code to achieve reproducibility. Prerequisite(s): None; familiarity with linear algebra is helpful. Credits: 3