STATISTICS Subcommand (DISCRIMINANT command)
By default, DISCRIMINANT
produces the following statistics for each analysis: analysis case
processing summary, valid numbers of cases in group statistics, variables
failing tolerance test, a summary of canonical discriminant functions,
standardized canonical discriminant function coefficients, a structure
matrix showing pooled within-groups correlations between the discriminant
functions and the predictor variables, and functions at group centroids.
- Group statistics. Only valid number of cases is reported.
- Summary of canonical discriminant functions. Displayed in two tables: an eigenvalues table with percentage of variance, cumulative percentage of variance, and canonical correlations and a Wilks’ lambda table with Wilks’ lambda, chi-square, degrees of freedom, and significance.
- Stepwise statistics. Wilks’ lambda, equivalent F, degrees of freedom, significance of F and number of variables are reported for each step. Tolerance, F-to-remove, and the value of the statistic
used for variable selection are reported for each variable in the
equation. Tolerance, minimum tolerance, F-to-enter, and the value of the statistic used for variable selection
are reported for each variable not in the equation. (These statistics
can be suppressed with
HISTORY
=NONE
.) - Final statistics. Standardized canonical discriminant function coefficients, the structure matrix of discriminant functions and all variables named in the analysis (whether they were entered into the equation or not), and functions evaluated at group means are reported following the last step.
In addition, you can request optional statistics
on the STATISTICS
subcommand. STATISTICS
can be specified by itself or
with one or more keywords.
-
STATISTICS
without keywords displaysMEAN
,STDDEV
, andUNIVF
. If you include a keyword or keywords onSTATISTICS
, only the statistics you request are displayed.
MEAN. Means. Total and group means for all variables named on the ANALYSIS
subcommand are displayed.
STDDEV. Standard deviations. Total and group standard deviations for all variables named on
the ANALYSIS
subcommand are
displayed.
UNIVF. Univariate F ratios. The analysis-of-variance F statistic for equality of group means for each predictor variable is displayed. This is a one-way analysis-of-variance test for equality of group means on a single discriminating variable.
COV. Pooled within-groups covariance matrix.
CORR. Pooled within-groups correlation matrix.
FPAIR. Matrix of pairwise F ratios. The F ratio for each pair of groups is displayed. This F is the significance test for the Mahalanobis distance between groups. This statistic is available only with stepwise methods.
BOXM. Box’s M test. This is a test for equality of group covariance matrices.
GCOV. Group covariance matrices.
TCOV. Total covariance matrix.
RAW. Unstandardized canonical discriminant functions.
COEFF. Classification
function coefficients. Although DISCRIMINANT
does not directly use these coefficients
to classify cases, you can use them to classify other samples (see
the CLASSIFY
subcommand).
TABLE. Classification
results. If both selected and unselected cases are classified,
the results are reported separately. To obtain cross-validated results
for selected cases, specify CROSSVALID
.
CROSSVALID. Cross-validated classification results. The cross-validation is done by treating n–1 out of n observations as the training dataset to determine the discrimination rule and using the rule to classify the one observation left out. The results are displayed only for selected cases.
ALL. All optional statistics.