Hadley Wickham, the creator of ggplot2, will present his course “Visualization in R with ggplot2,” online at Statistics.com, July 20 – Aug 17.

Upcoming “R” courses, and others:

• Jun 22:  Smoothing with P-splines using R (taught by Brian Manly and Paul Eilers)
• Jun 29:  Data Mining in R (taught by Luis Torgo)
• Jul  6:  Intro to Resampling Methods (taught by Peter Bruce)
• Jul 20:  Visualization in R with ggplot2 (more below – taught by Hadley Wickham)
• Jul 27:  Intro to R – Data Handling (taught by Paul Murrell)
• Jul 27:  Intro to R – Statistical Analysis (taught by John Verzani)
• Aug 31:  Modeling in R (taught by Sudha Purohit)

 

In “Visualization in R with ggplot2”, you will learn how to use the ggplot R Project to make, format, label and adjust graphs using R.  The “grammar of graphics” for which ggplot is named is a system of describing and organizing the fundamental components of a graph and the process of creating a graph.  Using ggplot2, participants will learn how to design and implement graphs in an efficient, elegant and systematic manner, following principles of general good graphing practice.

Dr. Hadley Wickham is the author of “ggplot2: Elegant Graphics for Data Analysis (Use R)” and a contributor to Cook & Swayne’s “Interactive and Dynamic Graphics for Data Analysis: Using R and GGobi” (2007). His research interests include interactive and dynamic graphics, developing practical tools for data analysis, and in gaining better understanding of complex statistical models through visualization. An Assistant Professor at Rice University, Dr. Wickham has developed 15 R projects, and written numerous articles, chapters, and other papers and in 2006 he won the John Chambers Award for Statistical Computing for his work on the ggplot and reshape R packages.

Dr. Wickham will be assisted by Garrett Grolemund, who teaches Statistical Computing and Graphics in the Department of Statistics at Rice University. He has co-authored, with Hadley Wickham, the lubridate R package which provides methods to parse, manipulate, and do arithmetic with date-times.

There are no set hours when you must be online, and we estimate you will need about 15 hours per week.  Dr. Wickham will be available to answer participant questions via a private discussion board throughout the period.