Multivariate Analysis: Discriminant Analysis |
The Plots Tab
You can use the Plots tab (Figure 30.4)
to create plots that graphically display
results of the analysis.
Creating a plot often adds one or more variables to the data table.
The following plots are available:
- Observed groups
-
creates a spine plot (a one-dimensional mosaic plot)
of the groups for the Y variable.
- Observed vs. Predicted groups
-
creates a mosaic plot of the groups for the Y variable versus the
group as classified by a discriminant function. Each observation is
placed in the group that minimizes the generalized squared
distance between the observation and the group mean.
- Classification fit plot
-
creates a plot that indicates how well each observation is classified
by the discriminant function.
This plot is shown in
Figure 30.5. The observations selected in the plot have
a low posterior probability of group membership.
For each observation, PROC DISCRIM computes posterior probabilities
for membership in each group. Let be the maximum posterior
probability for the th observation.
The classification fit plot is a plot of versus .
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