Data Analysis Using SAS Enterprise Guide

Lawrence S. Meyers, Glenn Gamst, A. J. Guarino "Data Analysis Using SAS Enterprise Guide"
Cambridge University Press | English | 2009-08-17 | ISBN: 0521112680 | 398 pages | PDF | 11 MB

This book presents the basic procedures for utilizing SAS Enterprise Guide to analyze statistical data. SAS Enterprise Guide is a graphical user interface (point and click) to the main SAS application. Each chapter contains a brief conceptual overview and then guides the reader through concrete step-by-step examples to complete the analyses. The eleven sections of the book cover a wide range of statistical procedures including descriptive statistics, correlation and simple regression, t tests, one-way chi square, data transformations, multiple regression, analysis of variance, analysis of covariance, multivariate analysis of variance, factor analysis, and canonical correlation analysis. Designed to be used either as a stand-alone resource or as an accompaniment to a statistics course, the book offers a smooth path to statistical analysis with SAS Enterprise Guide for advanced undergraduate and beginning graduate students, as well as professionals in psychology, education, business, health, social work, sociology, and many other fields.

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SAS 9.2 Macro Language: Reference

SAS Publishing "SAS 9.2 Macro Language: Reference"
SAS Publishing | English | 2009-02-27 | ISBN: 1599947080 | 384 pages | PDF | 1,7 MB

Explains how to increase the modularity, flexibility, and maintainability of your SAS code using the SAS macro facility. Provides complete information about macro language elements, interfaces between the SAS macro facility and other parts of SAS software, and macro processing in general.

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SAS Programming by Example

Ronald P. Cody, Ray Pass“SAS Programming by Example"
SAS Institute | 1995-03-08 | ISBN: 1555446817 | 360 pages | PDF | 12,4 MB

Develop and fine-tune your programming skills the easy way - by example! For beginning and intermediate users, SAS Programming by Example guides you, with a series of annotated examples, through basic tasks to more complex ones. Problems and solutions are provided to make the most of the programming tools available in base SAS software. Conversational in tone, this book is useful both as a tutorial for learning programming and as a convenient quick-reference filled with tips and strategies for solving your programming problems. Among the clearly explained examples are models that show you how to build SAS data sets, use SAS functions for data translation, program more efficiently, relate information from multiple sources, and chart and plot data. You will also learn to work with SAS date values, produce descriptive and summary statistics, and write reports.

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Data Mining Using SAS Enterprise Miner

Data Mining Using SAS® Enterprise Miner introduces the reader to a wide variety of data mining techniques in SAS® Enterprise Miner. This first-of-a-kind book explains the purpose of -- and reasoning behind -- every node that is a part of Enterprise Miner with regard to SEMMA design and data mining analysis. Each chapter starts with a short introduction to the assortment of statistics that are generated from the various Enterprise Miner nodes, followed by detailed explanations of configuration settings that are located within each node. The end result of the author’s meticulous presentation is a well crafted study guide on the various methods that one employs to both randomly sample and partition data within the process flow of SAS® Enterprise Miner.

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SAS 9.1.3 Intelligence Platform: Web Application Administration Guide, Third Edition

Explains how to administer the SAS Web applications
that run in the middle tier of the SAS Intelligence Platform. The Web applications include the SAS Information Delivery Portal, SAS Web Report Studio, and SAS Web OLAP Viewer for Java.This guide describes the middle-tier environment, provides sample deployment scenarios, and explains how to configure the Web applications for optimal performance
. The guide contains instructions for common administrative tasks, such as configuring trusted Web authentication, as well as instructions for administering the individual Web applications. For example, the guide explains how to add content to the SAS Information Delivery Portal and how to control access to that content.

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SAS Graphics for Java: Examples Using SAS AppDev Studio and the Output Delivery System

Jump-start your SAS graph skills! Here, in one convenient source, is all the information you need to create your own SAS graphs. This example-rich reference familiarizes you with custom tags in SAS AppDev Studio and shows you how to use ODS statements and the Java Device Driver to create graphs. Written for programmers at all experience levels, this dynamic book focuses on the attributes, parameters, and options that make graphs convey what you really want them to convey. It also provides SAS/GRAPH samples and WORK data sets. This text is suited for programmers who already know how to use SAS AppDev Studio to create and deploy a JSP or servlet application. A basic level of SAS ODS programming knowledge is required.

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