Colors the points in the Canonical Plot and the Canonical 3D Plot based on the levels of the X variable. Color markers are added to the rows in the data table. This option is equivalent to selecting Rows > Color or Mark by Column and selecting the X variable. It is also equivalent to right-clicking the graph and selecting Row Legend, and then coloring by the classification column.
Shows or hides Canonical Structures report. See Show Canonical Structure. Not available for the Wide Linear discriminant method.
Tip: In a script, sending the scripting command Save to New Data Table to the Discriminant object saves the following to a new data table: group means on the canonical variables; the biplot rays with 1.5 Radius Scaling of the Standardized Scoring Coefficients; and the canonical scores. Not available for the Wide Linear discriminant method.
Canonical Details for Iris.jmp
Canonical correlations between the covariates and the groups defined by the categorical X. Suppose that you define numeric indicator variables to represent the groups defined by X. Then perform a canonical correlation analysis using the covariates as one set of variables and the indicator variables representing the groups in X as the other. The Canonical Corr values are the canonical correlation values that result from this analysis.
F value associated with the corresponding test. For certain tests, the F value is approximate or an upper bound. See Approximate F-Tests in Discriminant Analysis.
p-value for the corresponding test.
Coefficients used to compute canonical scores in terms of the raw data. These are the coefficients used for the option Canonical Options > Save Canonical Scores. For details about how these are computed, see “The CANDISC Procedure” in SAS Institute Inc. (2011).
Coefficients used to compute canonical scores in terms of the standardized data. Often called canonical weights. For details about how these are computed, see “The CANDISC Procedure” in SAS Institute Inc. (2011).
Canonical Structure for Iris.jmp Showing between Canonical Structure

Help created on 9/19/2017