Datenanalyse

This repository contains all source files for the course "Datenanalyse" at the University of Innsbruck.

Setting up the workspace

Students who have not done work in R before will need to set up their computer to work with this course.

1. Install R
2. (Windows only) Install RTools
3. Install RStudio, an open-source working environment for R

Installing Git

(Optional, but recommended)

Having a git installation will allow you to work with the course directly through RStudio, including keeping up-to-date on any changes to the course. It will simplify your work greatly.

Windows

1. Download and install git
2. Go to the Windows menu, type cmd and hit enter. At the prompt, type where git, it will give you a path, like C:/Program Files (x86)/Git/bin/git.exe. Copy this path to the clipboard
3. Open RStudio, go to the Tools menu, choose Global Options. Choose git/svn on the sidebar. Check the box labelled "Enable version control interface for RStudio projects". In the Git executable box, paste the path from step 2.
4. Restart Rstudio.

Mac

1. Open Terminal, located in the Utilities folder in Applications; or hit command-space, type Terminal and press return.
2. At the prompt, type which git. This will return a path, probably /usr/bin/git/. Copy this to the clipboard.
3. Open RStudio, go to the Rstudio menu, choose Preferences. Choose git/svn on the sidebar. Check the box labelled "Enable version control interface for RStudio projects". In the Git executable box, paste the path from step 2.
4. Restart Rstudio.

Linux

1. Open a terminal window.
2. At the prompt, type which git. This will return a path, something like /usr/bin/git/. Copy this to the clipboard.
3. Open RStudio, go to the Tools menu, choose Global Options. Choose git/svn on the sidebar. Check the box labelled "Enable version control interface for RStudio projects". In the Git executable box, paste the path from step 2.
4. Restart Rstudio.

Getting the course materials

1. In RStudio, open the File menu and choose New Project.
2. Select Version Control, then Git.
3. For Repository URL, enter https://github.com/flee-group/vu_datenanalyse_students.git
4. Project directory name will be filled automatically
5. For "Create project as a subdirectory as", hit browse, then choose where on your computer to save the course files. Rstudo will create a new folder called vu_datenanalyse wherever you choose.
6. Any time you want to resume working on the course, go to the folder you selected in step 5, open the vu_datenanalyse_students folder, and open the vu_datenanalyse_students.Rproj file. This will open Rstudio and set it up to work with the course files.