Description
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.
Prerequisites
- Prerequisite(s): DATA 2500 .
Conditions and arrangements
- Prerequisite(s): DATA 2500 .
- Lectures three hours a week, laboratory one hour a week.
Reference text in its original language
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.
Sources and references
Dates and sources are retained to help you verify the information. Translations are provided to facilitate reading; the official source governs conditions and requirements.
Source reference : https://calendar.carleton.ca/undergrad/courses/DATA/