This example illustrates the available bivariate graphics in PROC KDE. The `octane`

data set comes from Rodriguez and Taniguchi (1980), where it is used for predicting customer octane satisfaction by using trained-rater observations. The variables in this
data set are `Rater`

and `Customer`

. Either variable might have missing values. See the file *kdex3.sas* in the SAS Sample Library. The following statements create the `octane`

data set:

data octane; input Rater Customer; label Rater = 'Rater' Customer = 'Customer'; datalines; 94.5 92.0 94.0 88.0 94.0 90.0 93.0 93.0 ... more lines ... 88.0 84.0 .H 90.0 ;

The following statements request all the available bivariate plots in PROC KDE:

ods graphics on; proc kde data=octane; bivar Rater Customer / plots=all; run; ods graphics off;

Output 66.6.1 shows a scatter plot of the data, Output 66.6.2 shows a bivariate histogram of the data, Output 66.6.3 shows a contour plot of bivariate density estimate, Output 66.6.4 shows a contour plot of bivariate density estimate overlaid with a scatter plot of data, Output 66.6.5 shows a surface plot of bivariate kernel density estimate, and Output 66.6.6 shows a bivariate histogram overlaid with a bivariate kernel density estimate. These graphical displays are requested by specifying the PLOTS= option in the BIVAR statement with ODS Graphics enabled. For general information about ODS Graphics, see ChapterĀ 21: Statistical Graphics Using ODS. For specific information about the graphics available in the KDE procedure, see the section ODS Graphics.

Output 66.6.1: Scatter Plot

Output 66.6.2: Bivariate Histogram

Output 66.6.3: Contour Plot

Output 66.6.4: Contour Plot with Overlaid Scatter Plot

Output 66.6.5: Surface Plot

Output 66.6.6: Bivariate Histogram with Overlaid Surface Plot