The TIMESERIES Procedure
- Overview
- Getting Started
-
Syntax
-
DetailsAccumulationMissing Value InterpretationTime Series TransformationTime Series DifferencingDescriptive StatisticsSeasonal DecompositionCorrelation AnalysisCross-Correlation AnalysisSpectral Density AnalysisSingular Spectrum AnalysisData Set OutputOUT= Data SetOUTCORR= Data SetOUTCROSSCORR= Data SetOUTDECOMP= Data SetOUTPROCINFO= Data SetOUTSEASON= Data SetOUTSPECTRA= Data SetOUTSSA= Data SetOUTSUM= Data SetOUTTREND= Data Set_STATUS_ Variable ValuesPrinted OutputODS Table NamesODS Graphics Names
-
Examples
- References
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 12.3 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 graphical output produced by the TIMESERIES procedure. PROC TIMESERIES assigns a name to each graph it creates. These names are listed in Table 33.5.
Table 33.5: ODS Graphics Produced by PROC TIMESERIES
|
ODS Graph Name |
Plot Description |
Statement |
Option |
|---|---|---|---|
|
ACFPlot |
Autocorrelation function |
PLOTS |
ACF |
|
ACFNORMPlot |
Normalized autocorrelation function |
PLOTS |
ACF |
|
CCFNORMPlot |
Normalized cross-correlation function |
CROSSPLOTS |
|
|
CCF |
|||
|
CCFPlot |
Cross-correlation function |
CROSSPLOTS |
|
|
CCF |
|||
|
CorrelationPlots |
Correlation graphics panel |
PLOTS |
CORR |
|
CrossSeriesPlot |
Cross series plot |
CROSSPLOTS |
|
|
SERIES |
|||
|
CycleComponentPlot |
|||
|
Cycle component |
PLOTS |
CC |
|
|
CyclePlot |
Seasonal cycles plot |
PLOTS |
CYCLES |
|
DecompositionPlots |
|||
|
Decomposition graphics panel |
PLOTS |
DECOMP |
|
|
IACFPlot |
Inverse autocorrelation function |
PLOTS |
IACF |
|
IACFNORMPlot |
Normalized inverse autocorrelation function |
PLOTS |
IACF |
|
IrregularComponentPlot |
|||
|
Irregular component |
PLOTS |
IC |
|
|
PACFPlot |
Partial autocorrelation function |
PLOTS |
PACF |
|
PACFNORMPlot |
Standardized partial autocorrelation function |
PLOTS |
PACF |
|
PercentChangeAdjustedPlot |
|||
|
Percent-change seasonally adjusted |
PLOTS |
PCSA |
|
|
Periodogram |
Periodogram versus period |
PLOTS |
PERIODOGRAM |
|
ResidualPlot |
Residual time series plot |
PLOTS |
RESIDUAL |
|
SeasonallyAdjustedPlot |
|||
|
Seasonally adjusted |
PLOTS |
SA |
|
|
SeasonalComponentPlot |
|||
|
Seasonal component |
PLOTS |
SC |
|
|
SeasonalIrregularComponentPlot |
|||
|
Seasonal-irregular component |
PLOTS |
SIC |
|
|
SeriesHistogram |
Histogram of series values |
PLOTS |
HISTOGRAM |
|
SeriesPlot |
Time series plot |
PLOTS |
SERIES |
|
SpectralDensityPlot |
|||
|
Spectral density versus period |
PLOTS |
SPECTRUM |
|
|
SSASingularValuesPlot |
|||
|
SSA singular values |
PLOTS |
SSA |
|
|
SSAResultsPlot |
SSA results |
PLOTS |
SSA |
|
TrendComponentPlot |
|||
|
Trend component |
PLOTS |
TC |
|
|
TrendCycleComponentPlot |
|||
|
Trend-cycle component |
PLOTS |
TCC |
|
|
TrendCycleSeasonalPlot |
|||
|
Trend-cycle-seasonal component |
PLOTS |
TCS |
|
|
WhiteNoiseLogProbabilityPlot |
|||
|
White noise log probability |
PLOTS |
WN |
|
|
WhiteNoiseProbabilityPlot |
|||
|
White noise probability |
PLOTS |
WN |