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Evan earned his PhD in Biological Anthropology from Southern Illinois University Carbondale where he focused on spatial patterns of skeletal and dental variation in two large necropoles of Iron Age Central Italy (1st millennium BCE).
The R for Data Science workshop series is a four-part course, designed to take novices in the R language for statistical computing and produce programmers who are competent in finding, displaying, analyzing, and publishing data in R.
Part 3: Analyzing Data
Students will be introduced to the principles behind the grammar of graphics and basic linear regression models. Students will understand the implementation of plotting in R. Students will be able to explore, summarize, and analyze data using R's implementation of exploratory and inferential data analysis.
Knowledge requirements: R for Data Science Parts 1 and 2 or equivalent
Registration note: To participate in multiple parts of this intensive, please be sure to register for each day separately. Links to the other R intensive workshops can be found below.
