CSSCR Courses



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Spring Rrrrrrrrrrmageddon! 2015

Introduction to R with R Commander
Instructor: Shin Lee
Date: Wednesday, April 1
Time: 3:00 - 3:50pm
Place: Savery 121

This class will teach you how to get started with R using the R Commander that provides a graphical user interface. By providing a point-and-click interface, the R Commander allows users to focus on statistical methods rather than on remembering and generating R commands. The course will cover the basic organization of R and R Commander and how to conduct a basic analysis. This class is ideal for users who have little or no experience with R.

Introduction to R with RStudio
Instructor: Laine Rutledge
Date: Thursday, Apr 2
Time: 11:30am to 12:20pm
Place: Savery 121

This class will teach you how to get started with R using the free text editor Rstudio. The course will cover the basic organization of R and Rstudio, where to find good help references, and how to begin a basic analysis. This class is ideal for users who have little or no experience with R.

Data Management in R
Instructor: Linda Liaw
Date: Thursday, April 2
Time: 4:00 to 4:50pm
Place: Savery 121

This class will teach you how to manage data with R using the free text editor Rstudio. The course will include creating new variables, sorting and merging datasets, reshaping data, and subsetting datasets.

Introduction to R Graphics
Instructor: Will Brown
Date: Friday, April 3
Time: 11:30am to 12:20pm
Place: Savery 121

This class will introduce students to ways of producing effective graphs in R. Topics covered will include basic plotting functions (histograms, scatter plots, etc.), production of multi-panel graphs, and various means for exporting graphs for use outside of R.

Introduction to R with RStudio
Instructor: Colin Beam
Date: Friday, April 3
Time: 2:00pm to 2:50pm
Place: Savery 121

This class will teach you how to get started with R using the free text editor Rstudio. The course will cover the basic organization of R and Rstudio, where to find good help references, and how to begin a basic analysis. This class is ideal for users who have little or no experience with R.

Intro to R (with RStudio), Part II
Instructor: Stephanie Lee
Date: Monday, April 6
Time: 10:30 to 11:20am
Place: Savery 121

This class is for people who have used R in the past but want to learn more about the underlying logic of R so they can use it more effectively. We will focus more on techniques for data cleaning and data transformation rather than statistical modeling.

Introduction to R
Instructor: Sergio Garcia
Date: Tuesday, April 7
Time: 12:00 to 12:50pm
Place: Savery 121

This class will get you familiarized with the R language/environment. We will explore the basics of programming and the different types of R objects. You will not need prior knowledge of R or programming but a basic understanding of statistics will be helpful.

Introduction to R
Instructor: Carolina Johnson
Date: Wednesday, April 8
Time: 9:30 to 10:20am
Place: Savery 121

This class will get you familiarized with the R language/environment. We will explore the basics of programming and the different types of R objects. You will not need prior knowledge of R or programming but a basic understanding of statistics will be helpful.

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