The QUANTSELECT Procedure (Experimental)

ODS Graphics

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.

PROC QUANTSELECT assigns a name to each graph it creates using ODS. You can use these names to refer to the graphs when using ODS. The names are listed in Table 78.16.

Table 78.16: ODS Graphics Produced by PROC QUANTSELECT

ODS Graph Name

Plot Description

PLOTS Option

ACLPlot

Average check loss by step

ACL

AICCPlot

Corrected Akaike’s information criterion by step

CRITERIA(UNPACK)

AICPlot

Akaike’s information criterion by step

CRITERIA(UNPACK)

AdjR1Plot

Adjusted quantile regression R by step

CRITERIA(UNPACK)

ChooseCriterionPlot

CHOOSE= criterion by step

COEFFICIENTS(UNPACK)

CoefficientPanel

Coefficients and CHOOSE= criterion by step

COEFFICIENTS

CoefficientPlot

Coefficients by step

COEFFICIENTS(UNPACK)

CriterionPanel

Fit criteria by step

CRITERIA

SBCPlot

Schwarz Bayesian information criterion by step

CRITERIA(UNPACK)

ValidateACLPlot

Average square error on validation data by step

CRITERIA(UNPACK)