The FACTOR Procedure
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Overview
- Getting Started
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Syntax
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DetailsInput Data SetOutput Data SetsConfidence Intervals and the Salience of Factor LoadingsSimplicity Functions for RotationsMissing ValuesCautionsFactor ScoresVariable Weights and Variance ExplainedHeywood Cases and Other Anomalies about Communality EstimatesTime RequirementsDisplayed OutputODS Table NamesODS Graphics
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Examples
- References
FREQ Statement
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FREQ variable;
If a variable in the data set represents the frequency of occurrence for the other values in the observation, include the variable’s name in a FREQ statement. The procedure then treats the data set as if each observation appears n times, where n is the value of the FREQ variable for the observation. The total number of observations is considered to be equal to the sum of the FREQ variable when the procedure determines degrees of freedom for significance probabilities.
If the value of the FREQ variable is missing or is less than one, the observation is not used in the analysis. If the value is not an integer, the value is truncated to an integer.
The WEIGHT and FREQ statements have a similar effect, except in determining the number of observations for significance tests.