Modern coding practices in R including running simulations, workflows for common statistical models, retrieving diagnostics and model estimates, and presenting and visualizing results. Emphasis on modern, reproducible workflows and version control. Prerequisite(s): DATA 2500. Lectures three hours a week, laboratory one hour a week. [0.5 credits]
Modern coding practices in R including running simulations, workflows for common statistical models, retrieving diagnostics and model estimates, and presenting and visualizing results. Emphasis on modern, reproducible workflows and version control. Prerequisite(s): DATA 2500. Lectures three hours a week, laboratory one hour a week. [0.5 credits]
