Statistical procedures use ODS Graphics to create graphs as part of their output. ODS Graphics is described in detail in Chapter 21: Statistical Graphics Using ODS.
Before you create graphs, ODS Graphics must be enabled (for example, by specifying the ODS GRAPHICS ON statement). For more information about enabling and disabling ODS Graphics, see the section Enabling and Disabling ODS Graphics in Chapter 21: Statistical Graphics Using ODS.
The overall appearance of graphs is controlled by ODS styles. Styles and other aspects of using ODS Graphics are discussed in the section A Primer on ODS Statistical Graphics in Chapter 21: Statistical Graphics Using ODS.
When ODS Graphics is enabled, you can request specific plots by specifying the PLOTS= option in the TABLES statement. To produce a weighted frequency plot or mosaic plot, you must specify the WTFREQPLOT or MOSAICPLOT plotrequest in the PLOTS= option, or you must specify the PLOTS=ALL option. By default, PROC SURVEYFREQ produces all other plots that are associated with the analyses that you request in the TABLES statement. You can suppress default plots and request specific plots by using the PLOTS(ONLY)= option. For more information, see the description of the PLOTS= option.
PROC SURVEYFREQ assigns a name to each graph that it creates by using ODS Graphics. You can use these names to refer to the graphs. Table 109.10 lists the names of the graphs that PROC SURVEYFREQ generates together with their descriptions, their PLOTS= options (plotrequests), and the TABLES statement options that are required to produce the graphs.
Table 109.10: ODS Graphs Produced by PROC SURVEYFREQ
ODS Graph Name 
Description 
PLOTS= Option 
TABLES Statement Option 

KappaPlot 
Kappa plot 

( table) 

MosaicPlot 
Mosaic plot 
Twoway or multiway table request 

ORPlot 
Odds ratio plot 
OR ( table) 

RelRiskPlot 
Relative risk plot 
OR ( table) 

RiskDiffPlot 
Risk difference plot 
RISK ( table) 

WtFreqPlot 
Weighted frequency plot 
Any table request 

WtKappaPlot 
Weighted kappa plot 

( table, r > 2) 