The SIMILARITY Procedure
- Overview
- Getting Started
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Syntax
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Details
Accumulation Missing Value Interpretation Zero Value Interpretation Time Series Transformation Time Series Differencing Time Series Missing Value Trimming Time Series Descriptive Statistics Input and Target Sequences Sliding Sequences Time Warping Sequence Normalization Sequence Scaling Similarity Measures User-Defined Functions and Subroutines Output Data Sets OUT= Data Set OUTMEASURE= Data Set OUTPATH= Data Set OUTSEQUENCE= Data Set OUTSUM= Data Set STATUS Variable Values Printed Output ODS Table Names ODS Graphics
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Examples
- References
| Time Series Descriptive Statistics |
After a series has been optionally accumulated and transformed with missing values interpreted, descriptive statistics can be computed for the resulting working series by specifying the PRINT=DESCSTATS option. This option produces an ODS table that contains the sum, mean, minimum, maximum, and standard deviation of the working series.