Intro to Statistical Computing with R Fall, 2014
Course summary and goals
The aim of this course is to provide students a foundational training in the modern tools of statistical computing and reproducible research. In particular, we will focus on learning the R programming language, the RMarkdown syntax, and the git version control system. Students will learn how to manipulate, summarize, analyze, and visualize data using R. This course will focus more on the computing than on the statistics, but students will be exposed to statistical concepts and strategies such as sampling, simulation, expected values, etc… along the way.
Details
Course number: PUBHLTH 597
Instructor: Nicholas Reich
Office hours: Tues 1–2
Prerequisite: None.
Lectures: Wed 1:25–2:15
Suggested books
N Matloff. (2011) Art of R Programming : A Tour of Statistical Software Design [ebook available online via UMass library]
H Wickham. (2014) Advanced R
H Wickham. (2009) ggplot2: Elegant Graphics for Data Analysis [pdf available via UMass library]
Y Xie. (2013) Dynamic documents with R and knitr
P Daalgard. (2008) Introductory Statistics with R, 2nd edition. [free download via UMass library]
Online course resources
Sources on github:
The source for the website