This repository contains course material (lecture/labs, assignments, and project) related to BMEG310 course at UBC.
1.1. Introduction to R and RStudio: Link
1.2. Introduction to data wrangling and functions in R: Link
1.3.1. Tutorial can be found here: Link
1.3.2. Data files can be found here: Link
1.3.3. Cheatsheet for R Visualization can be found here: Link
1.3.4. The tutorial covered in class (1) Link
1.3.5. The tutorial covered in class (2) Link
1.3.6. Rstudio cheatsheets: https://www.rstudio.com/resources/cheatsheets/
1.4.1. Tutorial can be found here: Link
1.4.2. Data files can be found here: Link
1.4.3. Cheatsheet for R Markdown can be found here: Link
2.1. Tutorial can be found here: Link
2.2. Data files can be found here: Link
2.3. Cheatsheets for Machine Learning Concepts can be found here: Link
3.1. Tutorial can be found here: Link
3.2. Data files can be found here. You SHOULD unzip it using WinRAR or WinZIP or ,...: Link
4.1. Tutorial can be found here: Link
4.2. Data files can be found here: Link
4.1. Tutorial can be found here: Link
4.2. Data 1 can be found here: Link
4.3. Data 2 can be found here: Link
- Lab task 1: Link to the instructions
- Lab task 2: Link to the instructions
- Lab task 3: Link to the instructions Link to the data
- Lab task 4: Link to the instructions Link to the data
- Lab task 5: Link to the instructions Link to the data
- Lab task 6: Link to the instructions
- Lab task 7: Link to the instructions For data, please refer to the project description page Link
- Lab task 8: Link to the instructions You SHOULD unzip it using WinRAR or WinZIP Link to the data
- Lab task 9: Link to the instructions
- Lab task 10: Link to the instructions
Project details can be found here: Link to the instructions