The GENMOD Procedure |
ODS Graphics |
To request graphics with PROC GENMOD, you must first enable ODS Graphics by specifying the ods graphics on statement. See Chapter 21, Statistical Graphics Using ODS, for more information. 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 37.6, 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 37.6.
To request these graphs, you must specify the ods graphics on statement in addition to the options indicated in Table 37.6.
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 |
|
ClusterDFFITPlot |
Cluster DFFIT by cluster number |
PROC |
|
ClusterLeveragePlot |
Cluster leverage by cluster number |
PROC |
|
CooksDPlot |
Cook’s distance |
PROC |
|
CumResidPanel |
Panel of aggregates of residuals |
CRPANEL |
|
CumulativeResiduals |
Model assessment based on aggregates of residuals |
default |
|
DevianceResidByXBeta |
Deviance residuals by linear predictor |
PROC |
|
DevianceResidualPlot |
Deviance values |
PROC |
|
DFBETAByCluster |
Cluster DFBeta by cluster number |
PROC |
|
DFBETAPlot |
DFBeta |
PROC |
|
DiagnosticPlot |
Panel of residuals, influence, and diagnostic statistics |
PROC MODEL REPEATED |
|
LeveragePlot |
Leverage |
PROC |
|
LikeResidByXBeta |
Likelihood residuals by linear predictor |
PROC |
|
LikeResidualPlot |
Likelihood residuals |
PROC |
|
PearsonResidByXBeta |
Pearson residuals by linear predictor |
PROC |
|
PearsonResidualPlot |
Pearson residuals |
PROC |
|
PredictedByObservation |
Predicted values |
PROC |
|
RawResidByXBeta |
Raw residuals by linear predictor |
PROC |
|
RawResidualPlot |
Raw residuals |
PROC |
|
StdDevianceResidByXBeta |
Standardized deviance residuals by linear predictor |
PROC |
|
StdDevianceResidualPlot |
Standardized deviance residuals |
PROC |
|
StdDFBETAByCluster |
Standardized cluster DFBeta by cluster number |
PROC |
|
StdDFBETAPlot |
Standardized DFBeta |
PROC |
|
StdPearsonResidByXBeta |
Standardized Pearson residuals by linear predictor |
PROC |
|
StdPearsonResidualPlot |
Standardized Pearson residuals |
PROC |
|
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 |
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