Animal Biosciences is and has always been licenced for the lab version of SAS (Currently version 9.4 - Windows or Linux). As a member of the department you can easily run either the windows version on your own windows computer or the linux version on our high performance servers.
Preliminaries:
You must get an ID on the department's local computing infrastructure. This gives you access to a networked home directory ( i.e. the ABSc cloud if you will ) which is backed up every night and the "public" shared directory where various software packages are stored like the windows version of SAS. Contact abscit@uoguelph.ca for help this set up and if you need access from the outside you will need to connect to the universities VPN with your central login.
Install the UG VPN from https://vpn.uoguelph.ca/
Then connect to vpn.uoguelph.ca using the vpn client.
Running SAS on windows:
- Make sure you have the "public" share ( P: drive ) mapped. If you don't please contact abscit@uoguelph.ca
- Run the link "P:\sas"
Running linux SAS:
If you have larger data sets and/or models you can get a Linux ID on the department's entry level high performance server (currently called "signal") where sas is available.
Emal abscit@uoguelph.ca for an ID if you don't have one. You will need to know how to get data in place ( usually via your mapped home directory ) and have some basic linux skills.
The linux version of sas is also installed on sloof and could be made available on other compute nodes as needed.
Running the FREE University edition of SAS:
You can also get this version of SAS that runs inside an Oracle VirtualBox appliance on your system. There are versions for windows, linux, and OSX. The download and installation will require you to set up a SAS profile and this version of SAS is somewhat limited but, as far as I can tell, it does include BASE SAS and SAS/STAT so it could be OK for most purposes.
This article is a nice summary.
Link: https://www.sas.com/en_us/software/university-edition/download-software.html
For full documentation on SAS visit their documentation pages: http://support.sas.com/documentation/94/
I would also mention here that R is an excellent open-source software package that is ever evolving and being used more and more for scientific data handling, computation, statistical modeling, graphical visualization and more! Our linux compute nodes have R on them as well as many useful R packages. If you have a need for additional R packages let us know and we can install it centrally.