Introduction to R - 2 day bootcamp
Course Description & Objectives
The aim of this bootcamp is to introduce using R, a powerful and flexible interactive environment for statistical computing and research. It is not intended to cover everything there is to know about R - that would be an impossible task. Neither is it intended to be an introductory statistics course, although you will be using some simple statistics to highlight some of R’s capabilities. The main aim of this bootcamp is to help you get over the initial learning hurdle and provide you with the basic skills and experience (and confidence!) to enable learning in PLAN 672- Urban Data Analytics in R
Textbook
We will discuss the material from Introduction to R book
Course Policies
Venue
The bootcamp is conducted in New East computer lab. Please refer to email for access instructions.
Equipment
Every student should have a computer that has R and Rstudio installed. The computer should have sufficient memory and processing capacity to deal with large data sets.
Grading
We will jointly do exercises from the textbook. No submission is required; no grades are assigned.
Nikhil Kaza
Professor
My research interests include urbanization patterns, local energy policy and equity