The PRINQUAL Procedure
- Overview
- Getting Started
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Syntax
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DetailsThe Three Methods of Variable TransformationUnderstanding How PROC PRINQUAL WorksSplinesMissing ValuesControlling the Number of IterationsPerforming a Principal Component Analysis of Transformed DataUsing the MAC MethodOutput Data SetAvoiding Constant TransformationsConstant VariablesCharacter OPSCORE VariablesREITERATE Option UsagePassive ObservationsComputational ResourcesDisplayed OutputODS Table NamesODS Graphics
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Examples
- References
If one variable in the input data set represents the frequency of occurrence for other values in the observation, list the variable’s name in a FREQ statement. PROC PRINQUAL then treats the data set as if each observation appeared n times, where n is the value of the FREQ variable for the observation. Noninteger values of the FREQ variable are truncated to the largest integer less than the FREQ value. The observation is used in the analysis only if the value of the FREQ statement variable is greater than or equal to 1.