### 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 in SAS/STAT 12.1 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 X12 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 X12 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 38.15.

Table 38.15: ODS Graphs Produced by PROC X12

ODS Graph Name

Plot Description

PROC X12 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

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)