- Programming and statistics resources that clients may find useful (https://github.com/CSCAR/Resources/wiki)
Michael Clark’s workshop materials (https://m-clark.github.io/workshops)
- Materials from our Python regression analysis workshop.
- Materials from our Python data management workshop.
- Materials from our Go data workshop
- CSCAR has developed a tool for performing randomizations in sequentially-enrolled trials.
- More information about GIS at the University of Michigan can be found at this link: http://www.lib.umich.edu/clark-library/gis-at-umich
- Midesktop provides access to several statistical software packages through your web browser.
- The ITS Statistics and Computation Service provides Linux servers outfitted with up-to-date versions of R, SAS, Stat/Transfer and Stata. CSCAR consultants can advise clients on the use of these packages in a command-line environment. If you are having trouble accessing these machines see here.
- Licensing and installation support for many technical software packages can be obtained from UM Information and Technology Services.
GIS and spatial statistics resources
- The Clark Library’s Spatial and Numeric Data Services (SAND) assists the U-M community with spatial and numeric data. They help users locate, acquire, and convert spatial data, and support the use of GIS software on campus.
- ESRI Virtual Campus training courses can be accessed by UM researchers using a free token available from SAND. Send access code requests to email@example.com.
- Questions about access, licensing, and installation of ESRI GIS products should be addressed to firstname.lastname@example.org.