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The groupByInfo action computes the index and frequency of each group, and the i...
The `buildSurface` action uses the marching cubes algorithm to create a 3D surfa...
The fPcaScore action performs scoring for functional principal component analysi...
The 'attributes' parameter specifies variable attributes. It takes a list of objects, each defining attributes like 'format', 'formattedLength', 'label', 'name' (required), 'nfd', and 'nfl' for a variable.
Specifies the settings for an output table. For more information about specifying the casOut parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters).
specifies the length of the format precision.
specifies the number of bins to use for numeric variables in the calculation of the decision tree. Default: 50. Minimum value: 1.
by default, a greedy search or exhaustive search is used to determine the best split for each variable of each tree node. When set to False, a fast and efficient algorithm that is based on clustering is applied. Setting this parameter to False is recommended for variables with high cardinality. Default: TRUE