Scripting Guide - SAS

400 Scripting Graphs Chapter 12
Graphing Elements
Figure 12.6 Egg Carton Function
Normal Contour draws normal probability contours for k populations and two variables. The first
argument is a scalar probability or a matrix of probability values for the contours, and subsequent arguments
are matrices to specify means, standard deviations, and correlations. The mean and standard deviation
matrices have dimension k × 2 . The correlation matrix should be k × 1 , where the first row pertains to the
first contour, the second row to the second contour, and so on. The first column is for x and the second
column for y. For example:
Normal Contour(
[ prob1,
prob2,
prob3, ...],
[ xmean1 ymean1,
xmean2 ymean2,
xmean3 ymean3, ...],
[ xsd1 ysd1,
xsd2 ysd2,
xsd3 ysd3, ...],
[ xycorr1,
xycorr2,
xycorr3, ...]);
The following script draws contours at probabilities 0.1, 0.5, 0.7, and 0.99 for two populations and two
variables. The first population has x mean 0 and y mean 1, with standard deviation 0.3 along the x axis and
0.6 along the y-axis, and with correlation 0.5. The second has x mean 4 and y mean 6, with standard
deviation 0.8 along the x axis and 0.4 along the y-axis, and with correlation 0.9.
New Window( "Normal contours",
Graph Box(
X Scale( -5, 10 ),
Y Scale( -5, 10 ),
Normal Contour( [.1, .5, .7, .99], [0 1, 4 6], [.3 .6, .8 .4], [.5, .9] )