Download e-book for iPad: A step-by-step approach to using SAS for univariate & by Norm O'Rourke

By Norm O'Rourke

ISBN-10: 0471469440

ISBN-13: 9780471469445

ISBN-10: 1590474171

ISBN-13: 9781590474174

ISBN-10: 1590477774

ISBN-13: 9781590477779

One in a chain of books co-published with SAS, this publication presents a straightforward creation to either the SAS procedure and trouble-free statistical strategies for researchers and scholars within the Social Sciences. This moment version, up to date to hide model nine of the SAS software program, courses readers step-by-step during the simple options of analysis and information research, to facts enter, and directly to ANOVA (analysis of variance) and MANOVA (multivariate research of variance).

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Extra resources for A step-by-step approach to using SAS for univariate & multivariate statistics

Example text

Whenever you encounter an error message, read it carefully and review all of the program statements that preceded it. Often, the error appears in the program statements that immediately precede the error message; in other cases, the error might be hidden much earlier in the program. If more than one error message is listed, do not panic; there still might be only one error. Sometimes, a single error causes a large number of subsequent error messages. Chapter 2: Introduction to SAS Programs, SAS Logs, and SAS Output 27 Once the error or errors are identified, you must revise the original SAS program and resubmit it for analysis.

Once you submit the preceding program for analysis, SAS creates two types of files reporting the results of the analysis. One file is called the SAS log or log file in this text. This file contains notes, warnings, error messages, and other information related to the execution of the SAS program. The other file is referred to as the SAS output file. The SAS output file contains the results of the requested statistical analyses. The SAS Log The SAS log is a listing of notes and messages that help you verify that your SAS program was executed successfully.

The DATA Step In the DATA step, programming statements create and/or modify a SAS dataset. Among other things, these statements can: • provide a name for the dataset; • provide a name for the variables to be included in the dataset; • provide the actual data to be analyzed. In the preceding program, the DATA step begins with the DATA statement and ends with the semicolon and RUN statement. The RUN statement immediately precedes the PROC MEANS statement. The first statement of the preceding program begins with the word DATA and specifies that SAS should create a dataset to be called D1.

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A step-by-step approach to using SAS for univariate & multivariate statistics by Norm O'Rourke

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