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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 37.11, along with the required statements and options.

ODS Graph Names

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 37.11.

To request these graphs, you must specify the ODS GRAPHICS ON statement in addition to the options indicated in Table 37.11.

Table 37.11 ODS Graphics 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=

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