Computational methods play a significant role in modern statistical data analysis due to the ever-increasing data sizes, complexity, and the evolution of more robust statistical analyses. This course is an introduction to the modern, computationally intensive methods in statistics focusing on data analysis and inference for anthropology.
Students in this class will be able to use R to read and create data frames, as well as understand how different data objects such as vectors, dictionaries, and matrices better serve various forms of analyses. Students will also understand the fundamental functioning of data summarization and visualization in R. Over the course of the semester, students will be able to apply this knowledge to their own data sets. Finally, we will spend some time discussing data visualization, including common data reductions such as Linear Regression and Principal Component Analysis.