You can use the Plots tab to create plots that graphically display results of the analysis. (See FigureĀ 30.4.)
Creating a plot often adds one or more variables to the data table. The following plots are available:
creates a spine plot (a one-dimensional mosaic plot) of the groups for the Y variable.
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.
creates a plot that indicates how well each observation is classified by the discriminant function. This plot is shown in FigureĀ 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 ith observation. The classification fit plot is a plot of versus i.