More often than not, the analyst wants to find the pair of observations that is closest in terms of certain metrics, such as Euclidean distance. For example, on the popular SAS-L archive group, Randall Powers posted such a question at here, but he ...
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I didn't see this paper presented at SAS Global Forum (!) but maybe I'd have benefited from having the associated software installed on my Android tablet whilst writing notes and blog posts.
It's (yet another) alternative keyboard for mobile (phone and...
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Has learning R been driving you a bit crazy? If so, it may be that you’re “lost in translation.” On June 17 and 19, I’ll be teaching a webinar, R for SAS, SPSS and Stata Users. With each R concept, … Continue reading →
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One of the most notable features of v9.4 wasn't mentioned in the SAS Global Forum Technology Connection but I caught a paper by Bryan Wolfe on the subject. SAS v9.4 will remove SAS's most notable "single point of failure" - the metadata ser...
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At a recent conference, I talked with a SAS customer who told me that he was using an R package to create a three-panel visualization of a distribution. Unfortunately, he couldn't remember the name of the package, and he has not returned my e-mails, so the purpose of today's article
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Even though it's been around for well over a decade, SAS Enterprise Guide was still a hot topic among attendees at SAS Global Forum this year. In the Technology Connection -- the big session on Monday morning -- SAS R&D staff used the conference agenda content to demonstrate the power
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I’m back in Australia now after attending SAS Global Forum 2013 in San Francisco last week. As always it was a fantastic conference where I got to meet lots of other enthusiastic SAS users, see some great papers about SAS software (though I never...
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I just completed the conference survey. Overall I had a good conference - nobody booed during either of my papers, so that's a positive outcome! I liked the conference city (San Francisco), the conference venue was relatively compact (avoiding long wal...
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PROC UNIVARIATE has provided confidence intervals for standard percentiles (quartiles) for eons. However, in SAS 9.3M2 (featuring the 12.1 analytical procedures) you can use a new feature in PROC UNIVARIATE to compute confidence intervals for a specified list of percentiles. To be clear, percentiles and quantiles are essentially the same
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