A Vagrant file for setting up a consistent local Linux environment for Statistics course

Maintainer: Darko Gavrilovic, UofT

Date: May 3, 2018

OS

• Ubuntu 17.10

Requirements

This solution has been tested using the below applications on Windows 10 x64

• Vagrant v.2.1.0
• VirtualBox v.5.1.26r117224
• MobaXterm
• Windows 10 Pro v.10.0.17134 N/A Build 17134

Applications

• R
• R-Studio
• R packages
• Text editor

Install MobaXterm on Windows

• set session to
• host: 127.0.0.1
• port: 2222
• user: vagrant
• password: path to private_key file. (e.g. ..vagrant\machines\sta130\virtualbox\private_key)

Instructions

• make a directory on your machine. Preferably under C:\ or My Documents
• install git, Vagrant, VirtualBox and MobaXterm
• cd to directory
• type git clone https://github.com/darkogav/vagrant-sta130
• type vagrant up
• Once the machine is ready, type vagrant ssh to log into the machine
• type vagrant halt to shutdown the machine.

When the course is done, you can remove the machine

• type vagrant global-status to get the id of the machine
• type vagrant destroy $id -f to remove the machine
• remove Vagrant, VirtualBox, MobaXterm and delete the folder

Resources

• https://ntaback.github.io/UofT_STA130/STA130syllabus2018S.html
• https://github.com/ntaback/UofT_STA130

TODO Tasks:

• get full list of R packages
• try to get this to work with a secure NFS share for the Vagrant sync folder
• can you use Jypiter for this as a addon?
• test to try to see if can work with other X11 packages such as Qwartz
• add this to the chass site as work
• Try to package a complete install as a Vagrant box file