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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 4: Functions and Packages
Students will be introduced to the principles behind functional programming. Students will learn how to write and import functions, add looped and vectorized computation to their functions, and control the flow of data through a function. Students will understand the basics of namespaces, and how that relates to assigning values within functions. Students will see how to successfully package a function for CRAN.
Knowledge requirements: R for Data Science Parts 1, 2, and 3 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.
