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Rick Wicklin 0
Beware the naked LOC

The LOC function is one of the most important functions in the SAS/IML language. The LOC function finds elements of a vector or matrix that satisfy some condition. For example, if you are going to apply a logarithmic transform to data, you can use the LOC function to find all

Rick Wicklin 0
Efficient acceptance-rejection simulation

A few days ago on the SAS/IML Support Community, there was an interesting discussion about how to simulate data from a truncated Poisson distribution. The SAS/IML user wanted to generate values from a Poisson distribution, but discard any zeros that are generated. This kind of simulation is known as an

SAS Events
Waynette Tubbs 0
PROC ARIMA: Penetrating the matrix

Justin Smith and William “Gui” Zupko were looking at manufacturing data over time and wanted to know the minimum value in their dataset, and they wanted to pinpoint its exact location – the specific row and column. PROC ARIMA uses the ARIMA (auto-regressive integrated moving average) model or the ARMA

SAS Events
Christina Harvey 0
NESUG 2012 Student Scholarship winners

Congratulations to this year's NorthEast SAS Users Group Student Scholarship winners!   Student scholarships make it possible for young professionals to learn new SAS skills, meet other SAS users, hear about innovative new research, and network with other professionals from around the world. Rachel Bray, University of Maryland College Park, is pursuing a

Rick Wicklin 0
Inverse hyperbolic functions in SAS

I was recently asked, "Does SAS support computing inverse hyperbolic trigonometric functions?" I was pretty sure that I had used the inverse hyperbolic trig functions in SAS, so I was surprised when I read the next sentence: "I ask because I saw a Usage Note that says these functions are

Data Visualization
Sanjay Matange 0
Report from SCSUG 2012

Last week I attended my first SCSUG conference, this one in Houston.  Houston, the fourth most populous city in USA, is the world's capitol of the Oil and Gas industry.  So it was no surprise I met many attendees from local oil and gas related companies.  But, I also met many

Rick Wicklin 0
Constructing common covariance structures

I recently encountered a SUGI30 paper by Chuck Kincaid entitled "Guidelines for Selecting the Covariance Structure in Mixed Model Analysis." I think Kincaid does a good job of describing some common covariance structures that are used in mixed models. One of the many uses for SAS/IML is as a language

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