Posts Tagged ‘ Getting Started ’

The SELECT statement in the SAS DATA step

June 20, 2016
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The SELECT statement in the SAS DATA step

Every beginning SAS programmer learns the simple IF-THEN/ELSE statement for conditional processing in the SAS DATA step. The basic If-THEN statement handles two cases: if a condition is true, the program does one thing, otherwise the program does something else. Of course, you can handle more cases by using multiple

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Grids and linear subspaces

May 31, 2016
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Grids and linear subspaces

A grid is a set of evenly spaced points. You can use SAS to create a grid of points on an interval, in a rectangular region in the plane, or even in higher-dimensional regions like the parallelepiped shown at the left, which is generated by three vectors. You can use

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How to fit a variety of logistic regression models in SAS

May 23, 2016
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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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Create a package in SAS/IML

May 4, 2016
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Create a package in SAS/IML

In a previous post I showed how to download, install, and use packages in SAS/IML 14.1. SAS/IML packages incorporate source files, documentation, data sets, and sample programs into a ZIP file. The PACKAGE statement enables you to install, uninstall, and manage packages. You can load functions and data into your

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Save descriptive statistics for multiple variables in a SAS data set

March 28, 2016
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Save descriptive statistics for multiple variables in a SAS data set

Descriptive univariate statistics are the foundation of data analysis. Before you create a statistical model for new data, you should examine descriptive univariate statistics such as the mean, standard deviation, quantiles, and the number of nonmissing observations. In SAS, there is an easy way to create a data set that

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Create dummy variables in SAS

February 22, 2016
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Create dummy variables in SAS

A dummy variable (also known as indicator variable) is a numeric variable that indicates the presence or absence of some level of a categorical variable. The word "dummy" does not imply that these variables are not smart. Rather, dummy variables serve as a substitute or a proxy for a categorical

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Read data into vectors or into a matrix: Which is better?

February 8, 2016
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Read data into vectors or into a matrix: Which is better?

In the SAS/IML language, you can read data from a SAS data set into a set of vectors (each with their own name) or into a single matrix. Beginning programmers might wonder about the advantages of each approach. When should you read data into vectors? When should you read data

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Group processing in SAS: The NOTSORTED option

February 1, 2016
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Group processing in SAS: The NOTSORTED option

Novice SAS programmers quickly learn the advantages of using PROC SORT to sort data, followed by a BY-group analysis of the sorted data. A typical example is to analyze demographic data by state or by ZIP code. A BY statement enables you to produce multiple analyses from a single procedure

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