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Introduction to R (January 30, Library of Science and Medicine, Conference Room) – This session provides a three-part orientation to the R programming environment. R is freely available, open source statistical software that has been widely adopted in the research community. Due to its open nature, thousands of additional packages have been created by contributors to implement the latest statistical techniques, making R a very powerful tool. No prior knowledge is assumed. The three parts cover:
Statistical Techniques: getting around in R, descriptive statistics, regression, significance tests, working with packages
Graphics: comparison of graphing techniques in base R, lattice, and ggplot2 packages
Data Manipulation: data import and transformation, additional methods for working with large data sets, also plyr and other packages useful for manipulation.