Lectures

This scedule is tentative and may change based on the needs of the class.

 

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Lecture 1: Overview of the R Language, Text Editors for R, and Hands-on Introduction (10 February 2009)

Lecture 1: R code


Lecture 2: Reading in Data Files and Manipulating data in R (12 February 2009)

Lecture 2: R code

Lecture 2: Hands-on Exercise Dataset



Lecture 3: Running Simple Statistical Analyses and Creating Simple Graphs/Plots (17 February 2009)

Lecture 3: R code

Lecture 3: Hands-on Exercise Dataset

 

Lecture 4: Adding Complexity to Plots: Colors, Lines, Symbols, and Multiple Graphs (19 February 2009)

Lecture 4: R code

Lecture 4: Hands-on Exercise Dataset


Lecture 5: Using Contributed Packages (24 February 2009)

Lecture 5: R code


Lecture 6: Review of Class Material and Looking Ahead to the Advanced Class (26 February 2009)