Graphs enable you to visualize how the predicted values for a regression model depend on the model effects. You can gain an intuitive understanding of a model by using the EFFECTPLOT statement in SAS to create graphs like the one shown at the top of this article. Many SAS regression

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Tags: Statistical Graphics, Statistical Programming, Tips and Techniques, Uncategorized

Posted in SAS | Comments Off on Use the EFFECTPLOT statement to visualize regression models in SAS

SAS software can fit many different kinds of regression models. In fact a common question on the SAS Support Communities is "how do I fit a <name> regression model in SAS?" And within that category, the most frequent questions involve how to fit various logistic regression models in SAS. There

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Tags: Getting Started, Statistical Programming, Uncategorized

Posted in SAS | Comments Off on How to fit a variety of logistic regression models in SAS

Last week I showed how to use PROC EXPAND to compute moving averages and other rolling statistics in SAS. Unfortunately, PROC EXPAND is part of SAS/ETS software and not every SAS site has a license for SAS/ETS. For simple moving averages, you can write a DATA step program, as discussed

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Tags: data analysis, Statistical Programming, Uncategorized, vectorization

Posted in SAS | Comments Off on Rolling statistics in SAS/IML

In SAS, the aspect ratio of a graph is the physical height of the graph divided by the physical width. Recently I demonstrated how to set the aspect ratio of graphs in SAS by using the ASPECT= option in PROC SGPLOT or by using the OVERLAYEQUATED statement in the Graph

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Tags: Statistical Graphics, Statistical Programming, Uncategorized

Posted in SAS | Comments Off on Banking to 45 degrees: Aspect ratios for time series plots

I began 2016 by compiling a list of popular articles from my blog in 2015. This "People's Choice" list contains many interesting articles, but some of my personal favorites did not make the list. Today I present the "Editor's Choice" list of articles that deserve a second look. I've grouped

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Tags: Matrix Computations, sas programming, Statistical Graphics, Statistical Programming, Uncategorized

Posted in SAS | Comments Off on Twelve posts from 2015 that deserve a second look

A matrix is a convenient way to store an array of numbers. However, often you need to extract certain elements from a matrix. The SAS/IML language aupports two ways to extract elements: by using subscripts or by using indices. Use subscripts when you are extracting a rectangular portion of a

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Tags: Statistical Programming, Uncategorized

Posted in SAS | Comments Off on Extracting elements from a matrix: rows, columns, submatrices, and indices

Sometimes I can't remember where I put things. If I lose my glasses or garden tools, I am out of luck. But when I can't remember where I put some data, I have SAS to help me find it. When I can remember the name of the data set, my

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Tags: Statistical Programming, Uncategorized

Posted in SAS | Comments Off on Can’t find that data? Search all variables in all data sets

Did you know that the FREQ procedure in SAS can compute exact p-values for more than 20 statistical tests and statistics that are associated with contingency table? Mamma mia! That's a veritable smorgasbord of options! Some of the tests are specifically for one-way tables or 2 x 2 tables, but many apply

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Tags: data analysis, Statistical Programming, Uncategorized

Posted in SAS | Comments Off on Exact tests in PROC FREQ: What, when, and how