Basic Analysis and Graphing - SAS

Chapter 4 Performing Bivariate Analysis 117
Fitting Menus
Smoothing Spline Fit and Local Smoother Only:
Save Coefficients Saves the spline coefficients as a new data table, with columns called X,
A, B, C, and D. The X column gives the knot points. A, B, C, and D are
the intercept, linear, quadratic, and cubic coefficients of the
third-degree polynomial. These coefficients span from the
corresponding value in the X column to the next highest value.
Bivariate Normal Ellipse Only:
Shaded Contour
Select Points Inside
Select Points Outside
Shades the area inside the density ellipse.
Selects the points inside the ellipse.
Selects the points outside the ellipse.
Quantile Density Contours Only:
Kernel Control
Displays a slider for each variable, where you can change the kernel
standard deviation that defines the range of X and Y values for
determining the density of contour lines.
5% Contours Shows or hides the 5% contour lines.
Contour Lines
Contour Fill
Select Points by Density
Color by Density Quantile
Save Density Quantile
Mesh Plot
Model Clustering
Save Density Grid
Shows or hides the contour lines.
Fills the areas between the contour lines.
Selects points that fall in a user-specified quantile range.
Colors the points according to density.
Creates a new column containing the density quantile each point is in.
Is a three-dimensional plot of the density over a grid of the two analysis
variables. See Figure 4.18.
Creates a new column in the current data table and fills it with cluster
values.
Note: If you save the modal clustering values first and then save the
density grid, the grid table also contains the cluster values. The cluster
values are useful for coloring and marking points in plots.
Saves the density estimates and the quantiles associated with them in a
new data table. The grid data can be used to visualize the density in
other ways, such as with the Scatterplot 3D or the Contour Plot
platforms.