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.
You can reference every graph produced through ODS Graphics with a name. The names of the graphs that PROC LOESS generates are listed in Table 71.6, along with the relevant PLOTS= options.
Table 71.6: Graphs Produced by PROC LOESS
ODS Graph Name |
Plot Description |
PLOTS Option |
---|---|---|
ContourFitPanel |
Panel of loess contour surfaces overlaid on scatter plots of data |
CONTOURFITPANEL |
ContourFit |
Loess contour surface overlaid on scatter plot of data |
CONTOURFITPANEL |
DiagnosticsPanel |
Panel of fit diagnostics |
DIAGNOSTICS |
FitPanel |
Panel of loess curves overlaid on scatter plots of data |
FITPANEL |
FitPlot |
Loess curve overlaid on scatter plot of data |
FIT |
ObservedByPredicted |
Dependent variable versus loess fit |
OBSERVEDBYPREDICTED |
QQPlot |
Normal quantile plot of residuals |
QQPLOT |
ResidualsBySmooth |
Panel of residuals versus regressor by smoothing parameter values |
RESIDUALSBYSMOOTH |
ResidualByPredicted |
Residuals versus loess fit |
RESIDUALBYPREDICTED |
ResidualHistogram |
Histogram of fit residuals |
RESIDUALHISTOGRAM |
ResidualPanel |
Panel of residuals versus regressors for fixed smoothing parameter value |
RESIDUALS |
ResidualPlot |
Plot of residuals versus regressor |
RESIDUALS |
RFPlot |
Side-by-side plots of quantiles of centered fit and residuals |
RFPLOT |
ScorePlot |
Loess fit evaluated at scoring points |
SCOREPLOT |
CriterionPlot |
Selection criterion versus smoothing parameter |
CRITERION |