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The goal of this workshop is to provide graduate students early in their studies with a broad set of practical statistical knowledge and tools for their research projects. The workshop focuses on statistical analysis in R, and we provide basic R instruction that assumes no prior familiarity with R. Past workshops have included broad overviews and workable examples of the following types of analysis: linear models and model fitting, time series analysis, spatial statistics, phylogenetics, population genetics, population dynamics and principal components analysis. This workshop is not meant replace formal course work in statistics. Instead, it provides participants with a foundation of knowledge that can be built upon by future study.

An The course has a GitHub repository which will periodically be updated with scripts and other materials that are used in the class. An annotated list of Statistics Resources is available on Google Drive.

This course meets Fridays 2-3:30 pm in GDC 7.514 .

Please take the course survey to help us better meet your needs! Also, we are actively looking for post-docs and graduate students to lead individual sessions. You don't have to be an expert, just willing to share what you know.

Prerequisite R knowledge assumed for statistics topics lectures:

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