You can use the Plots tab to create plots that graphically display results of the analysis. (See FigureĀ 29.10.)
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 29.11. Observations that are close to two or more group means are selected in the plot.
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.
creates a plot of the first two canonical variables. (If there is only one canonical variable, then a histogram of that variable
is created instead.)
displays the mean of each group in the score plot.
displays a confidence ellipse for the mean of each group in the score plot.
specifies the probability level for the confidence ellipse.
specifies that the background of each scatter plot be shaded according to a nested family of confidence ellipses.
displays a prediction ellipse for the mean of each group in the score plot, assuming multivariate normality within each group.
specifies the probability level for the prediction ellipse.