Basic Analysis and Graphing - SAS

360 Creating Three-Dimensional Scatterplots Chapter 13
Scatterplot 3D Platform Options
Table 13.4 Descriptions of the Scatterplot 3D Options (Continued)
Ellipsoid Coverage Changes the size of normal contour ellipsoids. Type a value between 0 and 1,
where the greater the value creates a bigger the ellipsoid. The actual values
“0” and “1” produce no ellipsoid, so a warning appears if you try to use those
values.
This option only appears after you add a normal contour ellipsoid to the 3D
scatterplot.
Ellipsoid Transparency
Nonpar Density
Contour
Drop Line Thickness
Principal Components
Std Prin Components
Changes the surface of normal contour ellipsoids. The greater the value, the
more opaque the ellipsoid. This option only appears after you add a normal
contour ellipsoid to the 3D scatterplot.
Draws nonparametric density contours, which approximately encompass a
specified proportion of the points. You specify whether you want a density
contour for all of the data or for each group. For details, see “Nonparametric
Density Contours” on page 362.
Changes the width of drop lines. This option only appears after you add
drop lines to the 3D scatterplot.
Calculates principal components on all variables. This changes the axes of
the plot to have principal component scores.
Biplot rays are displayed by default. You can remove them by selecting
Biplot Rays from the red triangle menu. For details about principal
components, see the Modeling and Multivariate Methods book.
Calculates principal components (as with the Principal Components
option) but scales the principal component scores to have unit variance. If
this option is not selected, the scores have variance equal to the
corresponding eigenvalue.
With standardized principal components, the correlation between the
variables and the principal component scores is equal to the values in the
eigenvector. This helps you quickly assess the relative importance of the
variables.
For details, see the Modeling and Multivariate Methods book.
Note: Select this option if you want GH' rather than JK' biplots. GH'
biplots try to preserve relationships between variables; JK' biplots try to
preserve relationships between observations. The interpoint distance shown
by GH' biplots is less meaningful, but the angles of the GH' biplot rays
measure correlations better.