Easily Use SAS to Produce Your Graphics Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics Using SAS ODS covers essential graphical methods needed in every statistician’s toolkit. It explains how to implement the methods using SAS 9.4. The handbook shows how to use SAS to create many types of statistical graphics for exploring data and diagnosing fitted models. It uses SAS’s newer ODS graphics throughout as this system offers a number of advantages, including ease of use, high quality of results, consistent appearance, and convenient semiautomatic graphs from the statistical procedures. Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. These examples illustrate the use of graphic displays to give an overview of data, to suggest possible hypotheses for testing new data, and to interpret fitted statistical models. The SAS programs and data sets are available online.
Create Top-Quality Figures Using SASProducing High-Quality Figures Using SAS/GRAPH and ODS Graphics Procedures gives statisticians and SAS programmers practical guidance on presenting research data in high-quality figures that meet the ...
However, you will find that the examples here apply to all fields. This book is part of the SAS Press program.
The Pearson and deviance residuals are defined as the (signed) square roots of the contributions of the individual observations to the Pearson X 2 and deviance, respectively. These residuals may be used to assess the appropriateness of ...
Describes usage of the Output Delivery System for statistical graphics in SAS/STAT 9.2.
In this book he explains techniques—through code samples and example—that will enable you to increase your knowledge of all aspects of SAS programming, improve your coding productivity, and interface SAS with other programs.
This book describes detailed processes to create many commonly used graphs in the Health and Life Sciences industry.
Most graphs in the book are produced in at least two ways. Each example provides prototype code for getting started with the GTL and with the SG procedures.
New to this edition: • Covers SAS v9.2 and incorporates new commands • Uses SAS ODS (output delivery system) for reproduction of tables and graphics output • Presents new commands needed to produce ODS output • All chapters ...
The examples in this book will help you create just the right graph with ease!
These lessons are those the author has found successful in the classroom. Strengths of this book include the following: Examples are easy to follow and understand. Chapters have user-friendly text and objectives.