netneuro-R

Prerequisites

These tutorials utilize RStudio. Ensure that you've installed both R and RStudio. For installation instructions, refer here.

Obtaining the Files in this Package

• Option 1: The simplest method is to use git along with the command line to clone this repository:

  git clone https://github.com/UO-Data-Science/netneuro-R.git

• Option 2: Download the data and R markdown files from GitHub:

  1. Click on the file you wish to download in GitHub. This action should open a preview of the file.
  2. Above the file preview, there's a download button which allows you to save the files to your preferred location on your computer.

Running Examples

• Each example provided below includes an RMarkdown file, and some may have accompanying data files. For more details on RMarkdown, click here.
• RMarkdown can generate HTML, PDFs, or other file types by 'knitting' your code into either HTML or PDF formats.
• To knit each example, search for the "knit" button in RStudio and click it.

Troubleshooting

• Ensure all RMarkdown files run with the working directory set to the same folder as the markdown file. To achieve this, click on the To Source File Location button:

Examples

All exercises live in there own folder with an Rmarkdown file. The RMarkdown file has a number of places for you to write your own code, try to fill these out and get start working in R!

Getting Started

Discover some basics of R

• File Folder.
• Output Example.

Classification Problem

Develop an algorithm to distinguish good wine from bad.

• File Folder.
• Output Example.