Statistical procedures use ODS Graphics to create graphs as part of their output. ODS Graphics is described in detail in Chapter 24, 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 24, 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 24, Statistical Graphics Using ODS.
Some graphs are produced by default; other graphs are produced by using statements and options. You can reference every graph produced through ODS Graphics with a name. The names of the graphs that PROC GENMOD generates are listed in Table 16, along with the required statements and options.
PROC GENMOD assigns a name to each graph it creates using ODS. You can use these names to reference the graphs when using ODS. The names are listed in Table 16.
To request these graphs, ODS Graphics must be enabled and you must specify the statement and options indicated in Table 16.
Table 16: Graphs Produced by PROC GENMOD
| ODS Graph Name | Description | Statement | Option |
|---|---|---|---|
| ADPanel | Autocorrelation function and density panel | BAYES | PLOTS=(AUTOCORR DENSITY) |
| AutocorrPanel | Autocorrelation function panel | BAYES | PLOTS= AUTOCORR |
| AutocorrPlot | Autocorrelation function plot | BAYES | PLOTS(UNPACK)=AUTOCORR |
| ClusterCooksDPlot | Cluster Cook’s D by cluster number | PROC | PLOTS= |
| ClusterDFFITPlot | Cluster DFFIT by cluster number | PROC | PLOTS= |
| ClusterLeveragePlot | Cluster leverage by cluster number | PROC | PLOTS= |
| CooksDPlot | Cook’s distance | PROC | PLOTS= |
| CumResidPanel | Panel of aggregates of residuals | ASSESS | CRPANEL |
| CumulativeResiduals | Model assessment based on aggregates of residuals | ASSESS | Default |
| DevianceResidByXBeta | Deviance residuals by linear predictor | PROC | PLOTS= |
| DevianceResidualPlot | Deviance values | PROC | PLOTS= |
| DFBETAByCluster | Cluster DFBeta by cluster number | PROC | PLOTS= |
| DFBETAPlot | DFBeta | PROC | PLOTS= |
| DiagnosticPlot | Panel of residuals, influence, and diagnostic statistics | PROC MODEL REPEATED | PLOTS= |
| LeveragePlot | Leverage | PROC | PLOTS= |
| LikeResidByXBeta | Likelihood residuals by linear predictor | PROC | PLOTS= |
| LikeResidualPlot | Likelihood residuals | PROC | PLOTS= |
| PearsonResidByXBeta | Pearson residuals by linear predictor | PROC | PLOTS= |
| PearsonResidualPlot | Pearson residuals | PROC | PLOTS= |
| PredictedByObservation | Predicted values | PROC | PLOTS= |
| RawResidByXBeta | Raw residuals by linear predictor | PROC | PLOTS= |
| RawResidualPlot | Raw residuals | PROC | PLOTS= |
| StdDevianceResidByXBeta | Standardized deviance residuals by linear predictor | PROC | PLOTS= |
| StdDevianceResidualPlot | Standardized deviance residuals | PROC | PLOTS= |
| StdDFBETAByCluster | Standardized cluster DFBeta by cluster number | PROC | PLOTS= |
| StdDFBETAPlot | Standardized DFBeta | PROC | PLOTS= |
| StdPearsonResidByXBeta | Standardized Pearson residuals by linear predictor | PROC | PLOTS= |
| StdPearsonResidualPlot | Standardized Pearson residuals | PROC | PLOTS= |
| TAPanel | Trace and autocorrelation function panel | BAYES | PLOTS=(TRACE AUTOCORR) |
| TADPanel | Trace, autocorrelation, and density function panel | BAYES | Default |
| TDPanel | Trace and density panel | BAYES | PLOTS=(TRACE DENSITY) |
| TracePanel | Trace panel | BAYES | PLOTS=TRACE |
| TracePlot | Trace plot | BAYES | PLOTS(UNPACK)=TRACE |
| ZeroInflationProbPlot | Zero-inflation probabilities | PROC | PLOTS= |