Shows or hides the source and axis controls displayed beneath the 3D scatterplot. See Example of Information Displayed on the Scatterplot 3D Report.

Draws lines from each point to the plane created by the x and z variables that you selected on the launch window.

Draws one or more normal contour ellipsoids, that is, three-dimensional ellipses that encompass a specified portion of points. You specify whether you want an ellipsoid for all of the data or for each group. You can also control the size and transparency of the ellipsoids. For details, see Normal Contour Ellipsoids.

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.

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.

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 Principal Components in the 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 Principal Components in the Multivariate Methods book.

Specifies the number of factors that you want to rotate and the rotation method. You rotate components to better align the directions of the factors with the original variables so that the factors might be more interpretable. For details, see Principal Components in the Multivariate Methods book.

Saves the specified number of current principal component scores as new columns in the current data table. These columns also include the formulas used for the principal components. For n variables in the components list, n principal component columns are created and named Prin1, Prin2, ... Prinn.

Saves all rotated component scores as columns in the current data table. These columns also include the formulas that were used. If you requested n rotated components, then n rotated component columns are created and named Rot1, Rot2, ... Rotn.

See Local Data Filter, Redo Menus, and Save Script Menusin the Using JMP book for more information about the following options: