The GPLOT Procedure

Example 4: Plotting Two Variables

Procedure features:

PLOT statement options:

	HAXIS=
	HMINOR=
	REGEQN
	VAXIS=

Other features:

RUN-group processing

SYMBOL statement

Sample library member:

GR21N04

[IMAGE]

In this example, the PLOT statement uses a plot request of the type y-variable*x-variable to plot the variable HEIGHT against the variable WEIGHT. The plot shows that weight generally increases with size.

This example then requests the same plot with some modifications. As shown by the following output, the second plot request specifies a regression analysis with confidence limits, and scales the range of values along the vertical and horizontal axes. It also displays the regression equation specified for the SYMBOL statement. Because the procedure supports RUN-group processing, you do not have to repeat the PROC GPLOT statement to generate the second plot.

[IMAGE]

libname reflib 'SAS-data-library'; goptions reset=global gunit=pct border cback=white colors=(black blue green red) ftitle=swissb ftext=swiss htitle=6 htext=4;

data reflib.stats; input height weight; datalines; 69.0 112.5 56.5 84.0 ...more data lines... 67.0 133.0 57.5 85.0 ;

title 'Study of Height vs Weight'; footnote1 h=3 j=l ' Source: T. Lewis & L. R. Taylor'; footnote2 h=3 j=l ' Introduction to Experimental Ecology' j=r 'GR21N04(a) ';

proc gplot data=reflib.stats; plot height*weight; run;

footnote1; /* this clears footnote1 */ footnote2 h=3 j=r 'GR21N04(b) ';

symbol1 interpol=rcclm95 value=diamond height=3 cv=red ci=blue co=green width=2;

plot height*weight / haxis=45 to 155 by 10 vaxis=48 to 78 by 6 hminor=1 regeqn; run; quit;

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