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
| Zero Value Interpretation |
When querying certain databases for time-stamped data based on a particular time range, time periods that contain no data are sometimes assigned zero values. For certain analyses, it is more desirable to assign these values to missing. Often, these beginning or ending zero values need to be interpreted as missing values. The ZEROMISS= option in the ID, INPUT, or TARGET statement specifies that the beginning, ending, or both the beginning and ending values are to be interpreted as zero values.