Server Information for statcomp2 and statcomp3


Statcomp2 and statcomp3 are 64 bit Linux servers equipped with, at least, Intel Xeon processors running at 2.93GHz, 96Gb of memory, and approximately 2TB of hard drive space. Their purpose is to run statistical applications that work on large datasets and/or are compute intensive.

Each system...
  • runs Ubuntu Linux as its operating system
  • is intended for jobs that are unsuitable for running on a local workstation due to large memory requirements or long run times
  • has R installed
  • There is no windowing software installed. All work is done via the command line.

Connecting to the server; transferring files

Note: The programs mentioned here (scp, WinSCP, ssh, putty) are just suggestions. There are many other tools available for transferring files and logging on to remote computers.

  • Develop and test your program on your local workstation. If your program process a large data set, do you testing with a small subset of the data.
  • When you program is ready, use something like scp (on Linux or Mac) or WinSCP (Windows) to copy your program and data to the server
  • Use ssh (Linux and Mac) or Putty (Windows) to log on to the server. The hostname of statcomp2 is The hostname of statcomp3 is If off campus, a VPN connection is required before making a connection to these servers.
  • Run you program on the server. If you expect the program to run a long time, run your job as a batch job. See the Biostatistics FAQ "How do I run my R program as a batch job?" for details.

If you'd rather use a graphical user interface to transfer files to and from these servers, have a look at

Account Setup

Please email to request an account on statcomp2.or statcomp3.

Understanding CPU Utilization

With top, a user can determine which cpu is running a particular job by enabling the "j" column to be displayed. It's heading is "P" and will be displayed right next to the "COMMAND" column. To turn this on, follow these steps:

  • 1. start top
  • 2. type the key "f"
  • 3. type the key "j"
  • 4. hit the enter key

You should now see a column with heading "P". Each entry will have a 1 or 0 in it corresponding to cpu 1 or 0.

The SUMMARY area just above the table of processes lists the CPU utilization percentages.

  • type 1 to toggle between aggregate CPU and per CPU utilization.

Also, to save all the nifty changes you made to your top display:

  • type the key "W" to save this preference to $HOME/.toprc

View Screenshop of top

R Installed Packages and Personal Packages

When R looks for packages to load via the library() or require() function, it searches directory paths in the order they are specified in the shell environment variable R_LIBS. On the server the default paths are specified in the file /etc/R/Renviron, and the paths are /usr/local/lib/R/site-library, /usr/lib/R/site-library, and /usr/lib/R/library. Only root can add packages to these directories.

If you would like to use a package that's not installed on the server, and you feel it could be useful for others, please send an email request to and we will install it for you.

Otherwise, you can install it yourself into a directory in your home area and set the R_LIBS environment variable to point to that directory. Some reasons for doing this:

  • Your package contains secret research that no-one else should see
  • You'd like to install a different version of an already installed package
  • The administrators are dragging their feet on your package install request (sorry, we can get busy).

Note that you don't have to add the additional paths specified in /etc/R/Renviron as R will do that for you.

To install a package into a directory in your home area

$ R CMD INSTALL -l ~/Rlib PackageName.tar.gz

Notice that the ~ (tilde) character expands to your home area path, which is in the environment variable HOME.

And set the R_LIBS environment variable... BEFORE running R

$ export R_LIBS=~/Rlib

You should place the above line in your .bashrc file so that the next time you log in, the variable will be set.

How to host a Shiny app on the statcomp2 server

See How do I get a Shiny app hosted? for information.

How to host static web pages on the statcomp2 server

To host your static web pages on the statcomp2 server, do the following:
  1. Ask the Biostatistics IT team for an account on if you don’t already have one.
  2. Log on to your statcomp2 account and make a new sub-directory called /home/vunetid/public_html/ (where “vunetid” is your VUnetID)
  3. Copy your html files to this new directory.
  4. Let us know when you are done. There is a link that has to be configured. After that your application will be live.
Once configured, your app's URL will be

This topic: Main > DeptOps > DeptComputing > StatCompServerInfo
Topic revision: 02 Sep 2021, DalePlummer
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