This repository contains course material (tutorials, etc.) related to BMEG310 course at UBC.
1- How to install git : Link
2- How to work with git: Link
3- Introduction to R basics:
3.1. Data files can be found here: Link
3.2. Introduction to R and Rstudio: Link
3.3. Introduction to data wrangling and functions in R: Link
- At the end of the "Introduction to data wrangling and functions in R" document, you can find the exercise that you can work on to put what you have learned into practice.
4- Solution for Tutorial 1: TBD
1- Introduction to R Markdown:
1.1. Tutorial can be found here: Link
1.2. Data files can be found here: Link
1.3. Cheatsheet for R Markdown can be found here: Link
2- Introduction to R Visualization:
2.1. Tutorial can be found here: Link
2.2. Data files can be found here: Link
2.3. Cheatsheet for R Visualization can be found here: Link
1- Getting Started with Regression, Clustering, and Classification in R:
1.1. Tutorial can be found here: Link
1.2. Data files can be found here: Link
1.3. Cheatsheets for Machine Learning Concepts can be found here: Link
2- Solution: TBD
TBD
TBD