The LOGSELECT Procedure
ODS Graphics
Statistical procedures use ODS Graphics to create graphs as part of their output. ODS Graphics is described in detail in the "Statistical Graphics Using ODS" chapter in SAS/STAT User's Guide.
Before you create graphs, ODS Graphics must be enabled (for example, with the ODS GRAPHICS ON statement). For more information about enabling and disabling ODS Graphics, see the section "Enabling and Disabling ODS Graphics" in that chapter.
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 that chapter.
When ODS Graphics is enabled, the SELECTION statement can produce plots to help evaluate the selection process. For information about these plots, see the section Model Selection Plots in Chapter 3: Shared Concepts.
PROC LOGSELECT assigns a name to each graph that it creates using ODS. You can use these names to reference the graphs when using ODS. The names are listed in Table 11.15.
Table 11.15: Graphs Produced by PROC LOGSELECT
ODS Graph Name | Plot Description | PLOTS Option | |
|---|---|---|---|
Coefficients and CHOOSE= criterion by step | COEFFICIENTS | ||
ChooseCriterionPlot | CHOOSE= criterion by step | COEFFICIENTS(UNPACK) | |
CoefficientPlot | Coefficients by step | COEFFICIENTS(UNPACK) | |
Fit criteria by step | CRITERIA | ||
AdjRSqPlot | Max-rescaled (adjusted) R-square by step | CRITERIA(UNPACK) | |
AICCPlot | Corrected Akaike’s information criterion by step | CRITERIA(UNPACK) | |
AICPlot | Akaike’s information criterion by step | CRITERIA(UNPACK) | |
DiffMeanPlot | Difference of means by step | CRITERIA(UNPACK) | |
McFaddenPlot | McFadden’s R-square by step | CRITERIA(UNPACK) | |
MisclassPlot | Misclassification rate by step | CRITERIA(UNPACK) | |
SBCPlot | Schwarz Bayesian information criterion by step | CRITERIA(UNPACK) | |
TEST_ASEPlot | Average square error on testing data by step | CRITERIA(UNPACK) | |
TRAIN_ASEPlot | Average square error on training data by step | CRITERIA(UNPACK) | |
VAL_ASEPlot | Average square error on validation data by step | CRITERIA(UNPACK) | |
FitByRolePlot | Progression of average square error by role | FITBYROLE | |