The TIMESERIES Procedure
- Overview
- Getting Started
-
Syntax
-
Details
Accumulation Missing Value Interpretation Time Series Transformation Time Series Differencing Descriptive Statistics Seasonal Decomposition Correlation Analysis Cross-Correlation Analysis Spectral Density Analysis Singular Spectrum Analysis Data Set Output OUT= Data Set OUTCORR= Data Set OUTCROSSCORR= Data Set OUTDECOMP= Data Set OUTPROCINFO= Data Set OUTSEASON= Data Set OUTSPECTRA= Data Set OUTSSA= Data Set OUTSUM= Data Set OUTTREND= Data Set STATUS Variable Values Printed Output ODS Table Names ODS Graphics Names
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Examples
- References
| _STATUS_ Variable Values |
The _STATUS_ variable that appears in the OUTSUM= data set contains a code that specifies whether the analysis has been successful or not. The _STATUS_ variable can take the following values:
- 0
success
- 1000
transactional trend statistics failure
- 2000
transactional seasonal statistics failure
- 3000
accumulation failure
- 4000
missing value interpretation failure
- 6000
series is all missing
- 7000
transformation failure
- 8000
differencing failure
- 9000
unable to compute descriptive statistics
- 10000
seasonal decomposition failure
- 11000
correlation analysis failure
- 15000
singular spectrum analysis failure
- 16000
spectral analysis failure