丁香园AV

Our primary point of contact for desktop IT support is the Faculty of Science IT Support Team. You can submit a request for support  (click on the "Statistics and Actuarial Science" queue). Requests for support for the Unix network, including Fedora desktops, may be submitted by email to research-support@sfu.ca. Requests can also be made at the . (Note that eSupport is the newer Request Tracker system used by all of IT Services and various other groups on campus, replacing gripe.) See the webpage for more information.

The departmental Unix computers are maintained by the .  Our access to the research computing network is controlled by membership to the departmental mailing lists stat-fac, stat-grad and stat-visitors-sessionals. If you are a member of one of these lists, you have access to the network. Users new to Unix might consult a . 

Login server

Login, or "terminal" servers, are computers you can access using an  client, such as . Use these login servers to copy files to and from the network, access the compute servers, etc. A new Linux terminal server was set up in January, 2020:

• rcga-linux-ts1.dc.sfu.ca

For more information see .

Compute servers

Researchers have access to high-performance computing and large-scale storage facilities. For the most up-to-date information, please visit the Research Computing Group鈥檚  page as well as the .

Software Modules

Software on the Unix network is maintained through so-called modules. For a list of available modules, type module avail  from the Unix command line. To use software such as R, you must first load the relevant module. E.g., typing

module load LANG/R/4.0.3

from the Unix command line loads the module containing R version 4.0.3. You can then type R from the Unix command line to start R. 

丁香园AV students, staff and faculty may download a copy of SAS, JMP, SPSS, and more for free from the 丁香园AV IT Services Software Download Page.

• SAS
• JMP (a more user-friendly product from the SAS Institute)
• R (open source)
  •  - Download a copy from the  or choose a mirror from the location closest to you .
  • R introductions: 
• Minitab
• Miscellaneous Statistical Computing:    |