The ADAPTIVEREG Procedure

ODS Graphics

Statistical procedures use ODS Graphics to create graphs as part of their output. ODS Graphics is described in detail in ChapterĀ 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 ChapterĀ 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 ChapterĀ 21: Statistical Graphics Using ODS.

You must also specify the PLOTS= option in the PROC ADAPTIVEREG statement.

PROC ADAPTIVEREG assigns a name to each graph that it creates using ODS. You can use these names to refer to the graphs when using ODS. The names are listed in Table 25.8.

Table 25.8: Graphs Produced by PROC ADAPTIVEREG

ODS Graph Name

Plot Description

PLOTS Option

BoxPlot

Box plot of the response at each level of one categorical predictor, overlaid with a plot of predicted values

FIT

ComponentPanel

Panel of partial prediction curves for components that contain up to two predictors

COMPONENTS

ContourPlot

Contour plot of the fitted surface by two continuous predictors overlaid on scatter plot of data

FIT

DiagnosticsPanel

Panel of fit diagnostics

DIAGNOSTICS

FitPlot

Plot of fitted values by single continuous predictor (or with one categorical variable) overlaid on scatter plot of data

FIT

IntPlot

Plot of fitted values by two categorical predictors overlaid on scatter plot of data

FIT

ObservedByPredicted

Dependent variable versus fitted values

DIAGNOSTICS(UNPACK)

QQPlot

Normal quantile plot of residuals

DIAGNOSTICS(UNPACK)

ResidualByPredicted

Residuals versus fitted values

DIAGNOSTICS(UNPACK)

ResidualHistogram

Histogram of fit residuals

DIAGNOSTICS(UNPACK)

RFPlot

Side-by-side plots of quantiles of centered fit and residuals

DIAGNOSTICS(UNPACK)

SelectionPlot

Model fit criteria by step

SELECTION