The TIMESERIES Procedure
- Overview
- Getting Started
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Syntax
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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
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Examples
- References
Sometimes missing values should be interpreted as unknown values. But sometimes missing values are known, such as when missing values are created from accumulation and no observations should be interpreted as no value—that is, zero. In the former case, the SETMISSING= option can be used to interpret how missing values are treated. The SETMISSING=0 option should be used when missing observations are to be treated as no (zero) values. In other cases, missing values should be interpreted as global values, such as minimum or maximum values of the accumulated series. The accumulated and interpreted time series is used in subsequent analyses.