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How to specify an input table for group-by analysis?

The 'groupbyTable' parameter specifies an input table that contains the groups to use in a group-by analysis. It can be specified with 'name' (required), 'casLib', 'dataSourceOptions', 'importOptions', and 'where'. Its long form is 'groupbyTable={name="table-name"}' and shortcut form is 'groupbyTable="table-name"'.

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On: groupByInfo

Which parameter is mandatory when using the `logisticType3` action?

The `restore` parameter is required. It is used to specify the input table that contains the regression model information, restored from a binary large object (BLOB).

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On: logisticType3

verticesIn

specifies the input table containing vertices information. For more information about specifying the verticesIn parameter, see the common castable parameter.

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On: hypergroup

Is it possible to control which columns from the input table appear in the output?

Yes, the `columns` parameter allows you to specify a list of column names from the input table to be passed through to the output table. If this parameter is not specified, all input columns will be included in the output.

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On: match

How are data partitions defined by fractions in genmod Action?

Data partitions by fraction are defined using the partByFrac parameter, which accepts a partByFracStatement structure. This includes a seed for random number generation, and proportions for test and validate sets (test, validate).

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On: genmod