A few years ago I had the privilege of presenting the last technical paper at SAS Global Forum. This year, conference chair Andy Kuligowski asked me to go one better than that, and present a talk at the official Closing Session. What will I talk about? That's a mystery (maybe
During IFSUG yesterday, Sunil Gupta gave attendees to his presentation a special homework assignment. Look into the SAS Enterprise Guide task 'Characterize Data'. Sunil suggested that this was a simple approach to quickly getting a summary of all the variables within your data table. Of course, some programmers will use
I work with continuous distributions more often than with discrete distributions. Consequently, I am used to thinking of the quantile function as being an inverse cumulative distribution function (CDF). (These functions are described in my article, "Four essential functions for statistical programmers.") For discrete distributions, they are not. To quote
