The R Statistical Computing Environment: The Basics and Beyond
Dates: June 23-27, 2014
URL: http://bit.ly/1mXqVqU
Location: Berkeley, CA
About this workshop: This five-day workshop will introduce R, a free, open-source implementation of the S language that is available for Windows, Mac OS X, and Unix/Linux systems.
The R statistical programming language and computing environment has become the de facto standard for writing statistical software among statisticians. In the past few years, it has also made substantial inroads in the social sciences. R makes routine data analysis easy and supports convenient programming. Users of R have taken advantage of its extensibility to contribute more than 5,000 freely available "packages" of documented R programs and data to CRAN (the Comprehensive R Archive Network) and many others to the Bioconductor package archive. R is also particularly capable in the area of statistical graphics.
Each day of the workshop will combine four to five hours of lectures and demonstrations with two to three hours of hands-on labs. We will begin with an introduction to R, including statistical modeling in R -- in effect, using R as a statistical package. After that, the workshop will provide the background required to use R seriously for sophisticated data analysis, programming, and presentation.
Instructor: John Fox, McMaster University
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