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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
 

Examples: DISCRIM Procedure

The iris data published by Fisher (1936) are widely used for examples in discriminant analysis and cluster analysis. The sepal length, sepal width, petal length, and petal width are measured in millimeters on 50 iris specimens from each of three species: Iris setosa, I. versicolor, and I. virginica. The iris data set is available from the Sashelp library.

  • 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
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