Hi, SASweave is an interesting concept and is further along than I thought. Thanks Donald. I have checked out many sources on the net. Also thanks for offering to help me get started.
I have a masters in stat, not a Phd and I spend most of my time programming so I am a little over my had with the statements below. About models, the buzz seems to be around SAS GLIMMIX instead of MIXED due to non-normal and corrrelated data? It seems like the progression continues from GLM - MIXED - GLIMMIX. I was just getting comfortable with MIXED. GAM looks like it has been improved in SAS 9.2, but I have not used that procedure. As a side note SAS is spending massive amounts of resources on Enterprise Guide as a anchor to SAS-SAP? SAS is giving it away because it has the potential to dominate all corporate functions much like SAP. There are process flow tools, stored processes, operating system transparency, metadata servers, load balancing and inteligent job queing. It also has an interface a secretary or a CEO might be comfortable with. Many SAS procedures are available at the click of the mouse. Programmers tend to hate it because it seems to be more suitable to the Apple Ipad then a true programming environment. It generates terrible code, and programmers are sometimes relegated to cleaning up the CEOs code for production. Thanks Everyone This thred was an educationa opportunity for me -- View this message in context: http://n4.nabble.com/SAS-and-R-on-multiple-operating-systems-tp1752043p1753966.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
