The X13 Procedure

ODS Graphics

Subsections:

ODS Graph Names

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 in SAS/STAT 14.1 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.

This section describes the use of ODS for creating graphics with the X13 procedure.

The graphs available through ODS Graphics are ACF plots, PACF plots, a residual histogram, spectral graphs, and forecasting plots. ACF and PACF plots for regARIMA model identification are not available unless the IDENTIFY statement is used. ACF plots, PACF plots, the residual histogram, and the residual spectral graph for diagnosis of the regARIMA model residuals are not available unless the CHECK statement is used. Forecasting plots are not available unless the FORECAST statement is used. A spectral plot of the original series is always available; however, additional spectral plots are provided when the X11 statement and CHECK statement are used. When ODS Graphics is not enabled, the ACF, PACF, and spectral analysis are displayed as columns of a table. The residual histogram is available only when ODS Graphics is enabled. To obtain a table that contains values related to the residual histogram, use the ODS OUTPUT statement.

ODS Graph Names

PROC X13 assigns a name to each graph it creates by using ODS. You can use these names to selectively reference the graphs. The names are listed in Table 45.15.

Table 45.15: ODS Graphs Produced by PROC X13

ODS Graph Name	Plot Description	PROC X13 PLOTS= Option
ACFPlot	Autocorrelation of regression residuals	SERIES(ACF)
ErrorACFPlot	Autocorrelation of regARIMA model residuals	RESIDUAL(ACF)
ErrorPACFPlot	Partial autocorrelation of regARIMA model residuals	RESIDUAL(PACF)
ForecastsOnlyPlot	Forecasts only of the original series	FORECAST(FORECASTONLY)
ForecastsOnlyPlot	Forecasts only of the transformed series	FORECAST(TRANSFORECASTONLY)
ForecastsPlot	Forecasts of the original series	FORECAST(FORECAST)
ForecastsPlot	Forecasts of the transformed series	FORECAST(TRANSFORECAST)
ModelForecastsPlot	Model and forecasts of the original series	FORECAST(MODELFORECASTS)
ModelForecastsPlot	Model and forecasts of the transformed series	FORECAST(TRANSMODELFORECASTS)
ModelPlot	Model of the original series	FORECAST(MODELS)
ModelPlot	Model of the transformed series	FORECAST(TRANSMODELS)
PACFPlot	Partial autocorrelation of regression residuals	SERIES(PACF)
ResidualHistogram	Distribution of regARIMA residuals	RESIDUAL(HIST)
SpectralPlot	Spectral plot of the seasonally adjusted series	ADJUSTED(SPECTRUM)
SpectralPlot	Spectral plot of irregular series	IRREGULAR(SPECTRUM)
SpectralPlot	Spectral plot of the regARIMA model residuals	RESIDUAL(SPECTRUM)
SpectralPlot	Spectral plot of the original series	SERIES(SPECTRUM)
SqErrorACFPlot	Autocorrelation of squared regARIMA model residuals	RESIDUAL(SQACF)