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collection={{collection-1} <, {collection-2}, ...>}

defines a set of variables that are treated as a single effect that has multiple degrees of freedom. The collection value can be one or more of the following:details=TRUE | FALSEwhen set to True, requests a table that shows additional details that are related to this effect.DefaultFALSE* name="string"specifies the name of the effect.* vars={"variable-name-1" }&nbsp;specifies a set of variables that are treated as a single effect that has multiple degrees of freedom. The columns in the design matrix that are contributed by a collection effect are the design columns of its constituent variables in the order in which they appear in the definition of the collection effect.

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On: gvarcluster

How can I optimize the performance of the `applyConcept` action, especially with large documents or complex models?

To improve performance, especially when using the CLAUS_n operator, you can use a two-step process. First, run `applyConcept` with the `parseTableOut` parameter to save the pre-parsed documents to a CAS table. Then, in a subsequent run, use this table as input via the `parseTableIn` parameter to avoid re-parsing the text.

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On: applyConcept

How can I execute the `addNodeStatus` action in Lua?

The Lua syntax for this action is: `results, info = s:session_addNodeStatus{}`

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On: addNodeStatus

BIGINT

New 64-bit integer processing

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On: getServOpt

Which statistics can be used for interval-interval correlation?

The available statistics are ENTROPY, MI (Mutual Information, default), NORMMI (Normalized Mutual Information), PEARSON, and SU (Symmetric Uncertainty).

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On: exploreCorrelation