TEMPLATE Procedure: Creating ODS Graphics

Introduction to the Graph Template Language

Graphics are an indispensable part of statistical analysis. Graphics reveal patterns, identify differences, and provoke meaningful questions about your data. Graphics add clarity to an analytical presentation and stimulate deeper investigation.

SAS 9.2 introduces the Graph Template Language (GTL), a powerful new language for defining clear, effective, statistical graphics. The GTL enables you to generate various types of plots, such as Model Fit plots, Distribution plots, Comparative plots, Prediction Plots, and more.

The GTL applies accepted principles of graphics design to produce plots that are clean and uncluttered. Colors, fonts, and relative sizes of graph elements are all designed for optimal impact. By default, the GTL produces PNG files, which support true color (the full 24-bit RGB color model) and enable visual effects such as anti-aliasing and transparency, but retain a small file size. GTL statement options enable you to control the content and appearance of the plot down to the smallest detail.

The GTL is designed to produce graphics with minimal syntax. The GTL uses a flexible, building-block approach to create a graph by combining statements in a template called a STATGRAPH template. STATGRAPH templates are defined with the TEMPLATE procedure.

You can create custom graphs by defining your own STATGRAPH templates. To create a custom graph, you must

define a STATGRAPH template with the TEMPLATE procedure
use the Graph Template Language to specify the parameters of your graph
associate your data with the template by using the SGRENDER procedure.

With a few statements, you can create the plots you need to analyze your data. For example, you can create the following Model Fit plot with these statements:

Template For Creating a Model Fit Plot

proc template;
define statgraph mytemplate;
beginGraph;
   entrytitle "Model Weight by Height";
   layout overlay;
   bandplot x=height limitupper=upper limitlower=lower;  
   scatterplot y=weight x=height;
   seriesplot y=predict x=height;
endlayout;
endGraph;
end;
run;

proc sgrender data=sashelp.classfit
              template=mytemplate;
run;

Model Fit Plot Using Mytemplate and SASHELP.CLASSFIT

[Model Fit Plot Using Mytemplate and SASHELP.CLASSFIT]

This example defines a STATGRAPH template named mytemplate , which uses values from the data set SASHELP.CLASSFIT. This data set contains data variables HEIGHT and WEIGHT and precomputed values for the fitted model (PREDICT) and confidence band (LOWER and UPPER). The SGRENDER procedure uses the data in SASHELP.CLASSFIT and the template mytemplate to render the graph. (This example is member GTLMFIT1 in the SAS Sample Library.)

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