Multivariate Analysis: Canonical Discriminant Analysis

The Tables Tab

The Tables tab is shown in Figure 29.12. You can use the Tables tab to display the following tables that summarize the results of the analysis. For more information, see the "Displayed Output" subsection of the "Details" section in the documentation for the DISCRIM procedure.

Simple statistics

specifies whether to display descriptive statistics for the total sample and within each group. This option corresponds to the SIMPLE option in the PROC DISCRIM statement.

Univariate ANOVA

specifies whether to display univariate statistics for testing the hypothesis that the population group means are equal for each variable. This option corresponds to the ANOVA option in the PROC DISCRIM statement.

Multivariate ANOVA

specifies whether to display multivariate statistics for testing the hypothesis that the population group means are equal for each variable. This option corresponds to the MANOVA option in the PROC DISCRIM statement.

Squared distances between group means

specifies whether to display the squared Mahalanobis distances (and associated statistics) between the group means. This option corresponds to the DISTANCE option in the PROC DISCRIM statement.

Standardized group means

specifies whether to display total-sample and pooled within-group standardized group means. This option corresponds to the STDMEAN option in the PROC DISCRIM statement.

Covariance matrices

specifies whether to display the correlation matrices for each set of variables. This option corresponds to the BCOV, PCOV, TCOV, and WCOV options in the PROC DISCRIM statement.

Correlation matrices

specifies whether to display the correlation matrices for each set of variables. This option corresponds to the BCORR, PCORR, TCORR, and WCORR options in the PROC DISCRIM statement.

Canonical structures

specifies whether to display correlations between the canonical variables and the original variables.

Canonical coefficients

specifies whether to display the raw and standardized canonical coefficients for each set of variables.

Figure 29.12: The Tables Tab

In addition to the previous optional tables, the Canonical Discriminant analysis always creates the following tables. The name of the table refers to the ODS table name.

Counts

corresponds to the Counts table.

Class level information

corresponds to the Levels table.

Canonical correlations

corresponds to the CanCorr table. Note: This table looks like three tables: canonical correlations, eigenvalues of , and tests for hypothesis that the canonical coefficients equal zero.

Class means on canonical variables

corresponds to the CanonicalMeans table.

Linear discriminant function

corresponds to the LinearDiscFunc table. This table is displayed only for the linear parametric classification method.

Number of observations and percent classified

corresponds to the ClassifiedResub or ClassifiedCrossVal table.

Error count estimates

corresponds to the ErrorResub or ErrorCrossVal table.