I have previously written about how to use the "table" distribution to generate random values from a discrete probability distribution. For example, if there are 50 black marbles, 20 red marbles, and 30 white marbles in a box, the following SAS/IML program simulates random draws (with replacement) of 1,000 marbles:
Suppose that you have a SAS/IML matrix and you want to set each element of a submatrix to zero (or any other value). There is a simple syntax that accomplishes this task. If you subscript a matrix and do not specify a row, it means "use all rows." So, for
If you are like me, you've experienced the following frustration. You are reading the SAS/STAT documentation, trying to understand some procedure or option, when you find an example that is very similar to what you need. "Great," you think, "this example will help me understand how the SAS procedure works!"
In linear algebra, the I symbol is used to denote an n x n identity matrix. The symbol J (or sometimes 1) is used to denote an n x p matrix of ones. When the SAS/IML language was implemented, the I function was defined to generate the identity matrix. The J function was defined
Last week the SAS Training Post blog posted a short article on an easy way to find variables in common to two data sets. The article used PROC CONTENTS (with the SHORT option) to print out the names of variables in SAS data sets so that you can visually determine
I wanted to write a blog post about the "Table distribution" in SAS. The Table distribution, which is supported by the RAND and the RANDGEN function, enables you to specify the probability of selecting each of k items. Therefore you can use the Table distribution to sample, with replacement, from
The SAS/IML language secretly creates temporary variables. Most of the time programmers aren't even aware that the language does this. However, there is one situation where if you don't think carefully about temporary variables, your program will silently produce an error. And as every programmer knows, silent wrong numbers are
SAS has several kinds of special data sets whose contents are organized according to certain conventions. These special data sets are marked with the TYPE= data set attribute. For example, the CORR procedure can create a data set with the TYPE=CORR attribute. You can decipher the structure of the data
I like to be efficient in my SAS/IML programs, but sometimes I get into bad habits. Recently I realized that I was reshaping a bunch of SAS/IML row vectors because I wanted to write them to a SAS data set. This is completely unnecessary! The SAS/IML language will create a
A SAS/IML user on a discussion forum was trying to read data into a SAS/IML matrix, but the data was so large that it would not fit into memory. (Recall that SAS/IML matrices are kept in RAM.) After a few questions, it turned out that the user was trying to
