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) |