specifies variables to use for analysis. For more information about specifying the inputs parameter, see the common casinvardesc parameter (Appendix A: Common Parameters). Alias: input...
specifies the maximum number of iterations for estimating the sparse precision covariance matrix by using coordinate descent. Default: 50, Range: 1–100000...
uses one or more classification variables specified in the vars parameter in such a way that each observation can be associated with one or more levels of the union of the levels of the classification variables. For more information about specifying the multimember parameter, see the common multimem...
specifies nominal variables to use for analysis. For more information about specifying the nominals parameter, see the common casinvardesc parameter (Appendix A: Common Parameters). Alias: nominal...
creates a data set that contains a symmetric matrix that depicts the covariances among variables and also creates a set of statistics about the input data set and variables. The OutputCPStatement value can be one or more of the following:...
required parameter casOut={casouttable}, specifies the output table. For more information about specifying the casOut parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters)....
specifies an epsilon value such that matrix entries that have an absolute value smaller than epsilon are ignored in the output. You must specify the list parameter when you specify the eps parameter. Default: 0, Minimum value: 0...
creates a data set for use with the Hypergroup action in the tkhypgrp action library. This table contains the information that defines the edges in the network: _FROM_, _TO_ and _WEIGHT_. For more information about specifying the outEdge parameter, see the common casouttable (Form 1) parameter (Appe...
lists the names of results tables to save as CAS tables on the server. For more information about specifying the outputTables parameter, see the common outputTables parameter (Appendix A: Common Parameters). Alias: displayOut...
creates a data set that depicts a tree diagram to display the hierarchical clustering results. The tree diagram can be plotted using the DENDROGRAM statement in the Graph Template Language. For more information about specifying the outTree parameter, see the common casouttable (Form 1) parameter (Ap...
creates a data set for use with the Hypergroup action in the tkhypgrp action library. This table contains the vertices in the network and their size. For more information about specifying the outVert parameter, see the common casouttable (Form 1) parameter (Appendix A: Common Parameters)....
specifies a polynomial effect. All specified variables must be numeric. A design matrix column is generated for each term of the specified polynomial. By default, each of these terms is treated as a separate effect for the purpose of model building. For more information about specifying the polynomi...
specifies the value of rho that determines the sequence of regulation parameters [the first power of rho, the second power of rho, and so on], that are used on sequential clustering steps. Default: 0.8...
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. Default: NONE...
requests that the action stop if the clustering results do not change in the previous number of consecutive step that is specified in this parameter. Default: 3, Range: 2–100...
required parameter table={castable}, specifies the settings for an input table. For more information about specifying the table parameter, see the common castable (Form 1) parameter (Appendix A: Common Parameters)....
specifies the settings for an output table. For more information about specifying the casOutHighCardinalityDetails parameter, see the common casouttable parameter. Alias: casout....
specifies the variables to use for the analysis. You can specify a subset of the variables from the input table. For more information about specifying the inputs parameter, see the common casinvardesc parameter. Alias: vars....
specifies options for result tables. You can specify which result tables the server returns and how group-by results are handled. Alias: tblOpts. The outputTableOptions value can be one or more of the following: forceTableReturn: when set to True, result tables are returned to the client even if the...
specifies the table name, caslib, and other common parameters. For more information about specifying the table parameter, see the common castable parameter....
Specifies the variables to use for the analysis. You can specify a subset of the variables from the input table. Alias is vars. For more information, see the common casinvardesc parameter....
Specifies the maximum number of iterations for the iterative robust univariate statistics such as MAD scale, GINI scale, and Medcouple skewness estimates. This parameter can be used if the ZSCORE outlier definition is used. Aliases are maxIters and rustatsMaxNiters....
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