Course Information for Fall 2020
Lab Times: W 8-9am, R 7:30-8:30pm, F 1-2pm
Lab Place: Davis 102
Prof. Stephanie Taylor
Office: Davis 112
Typical Office hours on Zoom: Tuesdays 1-2, Wednesdays 10-11:30, Thursdays 2-3:30
I often need to change my office hours to accommodate meetings. I post an image of my calendar at the beginning of each week on my home page.
An introduction to the programming language R and how it can be used for statistical analysis and visualization of data. Students will learn how to write basic R programs that can read, write, and manipulate data. They will make use of R functions for executing common statistical analysis and learn how to display the results using graphs and charts. Through a series of projects, students will get experience with writing their own functions, learn how to make use of R documentation and how to extend their own knowledge of the language.
- Students can read a simple R program and correctly predict its behavior.
- Students can write programs in R to read, write, and manipulate data.
- Students can write programs in R to execute common statistical analyses and generate visualizations of the results.
- Students have experience with the concepts of functions, modularity, and abstraction.
- Students have experience with R documentation and how to extend their knowledge on their own.
Links to R Software
- You can install the software on your own computer (this is prefered if you want to keep your code and set-up working beyond your time at Colby)
- You can use https://rstudio.colby.edu if you don't want to install software now.
Links Resources for Learning R
- Quick-R Tutorial
- Advanced R (online book)
- Introduction to R by DataCamp
- The Comprehensive R Archive Network [CRAN]