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How do I perform nonnegative factorization with the factmac action?

You can set the "nonNegative" parameter to TRUE. The default behavior is FALSE.

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On: factmac

select="ADJBIC" | "CV" | "NONE" | "PENALIZED"

when set to True, performs graphical variable clustering without preprocessing by thresholding the sample covariance into connected components. By default, the preprocessing step is performed.DefaultNONE

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On: gvarcluster

Can I incorporate observation frequencies into the analysis?

Yes, you can use the 'freq' parameter to specify a numeric variable that represents the frequency of each observation in the input table.

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On: analyzeMissingPatterns

What is the primary purpose of the fPca action?

The fPca action is designed to perform functional Principal Component Analysis (FPCA) training on data.

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On: fPca

What is table?

Specifies the table name, caslib, and other common parameters. For more information about specifying the table parameter, see the common castable parameter.

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On: impute