We call it the "metadata profile", but really it's like a telephone number that connects you to your SAS environment. Just as a telephone number has component parts (country code, area code, exchange), the metadata profile contains information that allow you to "dial in" to your SAS servers. This information
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Review your metadata profiles using SAS Enterprise Guide automation
Detecting outliers in SAS: Part 3: Multivariate location and scatter
In two previous blog posts I worked through examples in the survey article, "Robust statistics for outlier detection," by Peter Rousseeuw and Mia Hubert. Robust estimates of location in a univariate setting are well-known, with the median statistic being the classical example. Robust estimates of scale are less well-known, with
Random number seeds: Only the first seed matters!
The other day I encountered the following SAS DATA step for generating three normally distributed variables. Study it, and see if you can discover what is unnecessary (and misleading!) about this program: data points; drop i; do i=1 to 10; x=rannor(34343); y=rannor(12345); z=rannor(54321); output; end; run; The program creates the