Guide For Producing Figures With Graphic Template Language Gtl Using Sas
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Guide for Producing Figures with Graphic Template Language (GTL) Using SAS
Author: Antonio Rodr’guez Contest’
language: en
Publisher: Lulu.com
Release Date: 2020-01-23
The idea was to create a book useful for the day to day work as a consulting guide. To do so we created a book with a lot of code and explanations of the most common and not so common options that can help into the graphics production. All the figures presented in the book contain the code to be able to replicate, always using data available for everybody, such us using SASHELP library or generating our own data. At the same time, we tried that was accessible for all levels. It goes from a really basic level, explaining the SG procedures (SGPLOT, SGSCATTER and SGPANEL) and increasing in complexity little by little, showing how to extract the GTL code from the SG procedures, introducing PROC TEMPLATE and the different layouts, until we reach the final chapter where we create the shells for the most common figures, using all the learned to create common output requests.
Clinical Graphs Using SAS
SAS users in the Health and Life Sciences industry need to create complex graphs to analyze biostatistics data and clinical data, and they need to submit drugs for approval to the FDA. Graphs used in the HLS industry are complex in nature and require innovative usage of the graphics features. Clinical Graphs Using SAS provides the knowledge, the code, and real-world examples that enable you to create common clinical graphs using SAS graphics tools, such as the Statistical Graphics procedures and the Graph Template Language. This book describes detailed processes to create many commonly used graphs in the Health and Life Sciences industry. For SAS 9.3 and SAS 9.4 it covers many improvements in the graphics features that are supported by the Statistical Graphics procedures and the Graph Template Language, many of which are a direct result of the needs of the Health and Life Sciences community. With the addition of new features in SAS 9.4, these graphs become positively easy to create. Topics covered include the usage of SGPLOT procedure, the SGPANEL procedure and the Graph Template Language for the creation of graphs like forest plots, swimmer plots, and survival plots.
Statistical Graphics Procedures by Example
Sanjay Matange and Dan Heath's Statistical Graphics Procedures by Example: Effective Graphs Using SAS shows the innumerable capabilities of SAS Statistical Graphics (SG) procedures. The authors begin with a general discussion of the principles of effective graphics, ODS Graphics, and the SG procedures. They then move on to show examples of the procedures' many features. The book is designed so that you can easily flip through it, find the graph you need, and view the code right next to the example. Among the topics included are how to combine plot statements to create custom graphs; customizing graph axes, legends, and insets; advanced features, such as annotation and attribute maps; tips and tricks for creating the optimal graph for the intended usage; real-world examples from the health and life sciences domain; and ODS styles. The procedures in Statistical Graphics Procedures by Example are specifically designed for the creation of analytical graphs. That makes this book a must-read for analysts and statisticians in the health care, clinical trials, financial, and insurance industries. However, you will find that the examples here apply to all fields. This book is part of the SAS Press program.