The SIMILARITY Procedure |

OUTMEASURE= Data Set |

The OUTMEASURE= data set records the similarity measures between each INPUT and TARGET statement variable with respect to each time ID value. The form of the OUTMEASURE= data set depends on the SORTNAMES and ORDER= option. The OUTMEASURE= data set contains the variables specified in the BY statement as well as the variables listed below.

For ORDER=INPUTTARGET and ORDER=TARGETINPUT, the OUTMEASURE= data set has the following form:

- _INPUT_
input variable name

- _TARGET_
target variable name

- _TIMEID_
time ID values

- _INPSEQ_
input sequence values

- _TARSEQ_
target sequence values

- _SIM_
similarity measures

The OUTMEASURE= data set is ordered by the variables _INPUT_, then _TARGET_, then _TIMEID_ when ORDER=INPUTTARGET. The OUTMEASURE= data set is ordered by the variables _TARGET_, then _INPUT_, then _TIMEID_ when ORDER=TARGETINPUT.

For ORDER=INPUT, the OUTMEASURE= data set has the following form:

- _INPUT_
input variable name

- _TIMEID_
time ID values

- _INPSEQ_
input sequence values

*target-names*similarity measures associated with each TARGET statement variable name

The OUTMEASURE= data set is ordered by the variables _INPUT_, then _TIMEID_.

For ORDER=TARGET, the OUTMEASURE= data set has the following form:

- _TARGET_
target variable name

- _TIMEID_
time ID values

- _TARSEQ_
target sequence values

*input-names*similarity measures associated with each INPUT statement variable name

The OUTMEASURE= data set is ordered by the variables _TARGET_, then _TIMEID_.

Note: This procedure is experimental.

Copyright © 2008 by SAS Institute Inc., Cary, NC, USA. All rights reserved.