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ID Statement
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The DISCRIM Procedure

  • Overview
  • Getting Started
  • Syntax Procedure Syntax
    PROC DISCRIM Statement BY Statement CLASS Statement FREQ Statement ID Statement PRIORS Statement TESTCLASS Statement TESTFREQ Statement TESTID Statement VAR Statement WEIGHT Statement
  • Details Procedure Details
    Missing Values Background Posterior Probability Error-Rate Estimates Saving and Using Calibration Information Input Data Sets Output Data Sets Computational Resources Displayed Output ODS Table Names
  • Examples Procedure Examples
    Univariate Density Estimates and Posterior Probabilities Bivariate Density Estimates and Posterior Probabilities Normal-Theory Discriminant Analysis of Iris Data Linear Discriminant Analysis of Remote-Sensing Data on Crops
  • References
 
ID Statement

ID variable ;

The ID statement is effective only when you specify the LIST or LISTERR option in the PROC DISCRIM statement. When the DISCRIM procedure displays the classification results, the ID variable (rather than the observation number) is displayed for each observation.

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