What software is available for use on KillDevil?
Description: What software is available for use on KillDevil? A list of available mathematical and statistical software supported by Research Computing group is available from the Mathematical and Statistical Applications page. In addition to those packages, many other software packages and tools provided in our AFS package space can be used on KillDevil. Available packages are […]
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Matlab – Common FAQs
Description: Table of Contents How do I install Matlab? How do I install Matlab to make Matlab check out licenses from the UNC license servers? If I have an existing installation of Matlab and receive a new PLP code, how do I apply this new code? Will Matlab run on Mac OS? Why do I receive […]
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How do I get an account on research computing cluster?
Description: How do I get an account on KillDevil, Longleaf or Dogwood? Faculty, staff, undergrad and graduate students can subscribe to services through the Onyen Services page.  Click on the “Subscribe to Services”.   After you subscribe to a servcie, an account will be created for you, and you will be notified by email. To learn more […]
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Mathematical and Statistical Application – Maple
Description: Table of Contents Overview Installation Setting up the environment and invoking from a Research Computing server FAQs Useful links Additional help Overview Maple is a comprehensive computer system for advanced symbolic mathematics. It includes facilities for interactive algebra, calculus, discrete mathematics, graphics, numerical computation and many other areas of mathematics. It also provides a unique […]
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Mass Storage – Common FAQs
Description: What is Mass Storage? Mass Storage services are available for the long-term archiving of important research data files that will be accessed infrequently. If you are interested in backing up your hard drive, you should use the PC backup software provided by UNC instead. Only faculty, staff and graduate students may use the Mass Storage […]
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Mathematical and Statistical Application – Stata
Description: Table of Contents Overview Installation Special Note Setting up environment and invoking from a Research Computing server Submitting Stata jobs on a Research Computing server Notes Short courses Tutorials FAQs Useful links Additional help Overview Stata is a complete, integrated statistical package for data analysis, data management, and graphics. It covers a wide range of […]
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Mathematical and Statistical Application – SAS
Description: Table of Contents Overview Installation Setting up environment and invoking from a Research Computing server Notes Short Courses Tutorials FAQs Manuals Useful links Additional help Overview The SAS System is a powerful programming language and a collection of ready-to-use programs called procedures. It has data access, data management, data presentation, and data analysis capabilities. Its […]
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Mathematical and Statistical Application – SAS – Subscribing to the SUG-L (SAS Users Group) Email List
Description: What is SUG-L? SUG-L is a listserv-based mailing list for SAS users throughout the Research Triangle area. The list provides a way for users in the area to exchange information about SAS problems and questions. Meetings of The Research Triangle SAS Users Group (RTSUG) are announced on this list. RTSUG newsletters are posted here as […]
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Mathematical and Statistical Application – SAS – Using SAS/INSIGHT for interactive data analysis
Description: Introduction Though the SAS System is a powerful tool for organizing, managing, and analyzing data, the conventional approach to using SAS limits your ability to interact directly with your data. Similarly, the command language for SAS/GRAPH is a powerful tool for visual output but is too complex and produces only static plots. SAS/INSIGHT changes all […]
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Mathematical and Statistical Application – R – Install R Packages on the Research Computing Server
Description:   Table of Contents Overview Install R packages on the scratch space Load R packages installed on the scratch space Additional help Overview These instructions will help users install R packages (also called libraries) to the Unix/Linux version of R on Research Computing server. These instructions require a little knowledge of Unix/Linux commands. On the […]
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