This example shows that when your data contains a classification variable that groups data, you can use a plot request with PROC GPLOT to generate a separate interpolation line for each unique value of the classification variable.

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These sample files and code examples are provided by SAS Institute Inc. "as is" without warranty of any kind, either express or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. Recipients acknowledge and agree that SAS Institute shall not be liable for any damages whatsoever arising out of their use of this material. In addition, SAS Institute will provide no support for the materials contained herein.

This sample code shows that when your data contains a classification variable that groups data, you can use a plot request with PROC GPLOT to generate a separate interpolation line for each unique value of the classification variable.

The graphics output in the Results tab was produced using SAS® 9.2. Submitting the sample code with releases of SAS prior to SAS 9.2 might produce different results.

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 /* Set the graphics environment */
goptions reset=all border cback=white 
         htitle=12pt htext=10pt;  

 /* Create the data set CITYTEMP */
data citytemp;
   input  MONTH FAREN CITY $;
   datalines;
   1      40.5    Raleigh
   1      12.2    Minn
   1      52.1    Phoenix
   2      42.2    Raleigh
   2      16.5    Minn
   2      55.1    Phoenix
   3      49.2    Raleigh
   3      28.3    Minn
   3      59.7    Phoenix
   4      59.5    Raleigh
   4      45.1    Minn
   4      67.7    Phoenix
   5      67.4    Raleigh
   5      57.1    Minn
   5      76.3    Phoenix
   6      74.4    Raleigh
   6      66.9    Minn
   6      84.6    Phoenix
   7      77.5    Raleigh
   7      71.9    Minn
   7      91.2    Phoenix
   8      76.5    Raleigh
   8      70.2    Minn
   8      89.1    Phoenix
   9      70.6    Raleigh
   9      60.0    Minn
   9      83.8    Phoenix
  10      60.2    Raleigh
  10      50.0    Minn
  10      72.2    Phoenix
  11      50.0    Raleigh
  11      32.4    Minn
  11      59.8    Phoenix
  12      41.2    Raleigh
  12      18.6    Minn
  12      52.5    Phoenix
;
run;

 /* Define titles and footnotes */
title1 'Average Monthly Temperature';
footnote1 j=l ' Source: 1984 American Express';
footnote2 j=l '         Appointment Book';
footnote3 ' ';

 /* Define symbol characteristics */
symbol1 interpol=join value=dot height=1.7;  

 /* Generate a plot of three variables */
 /* that produces a legend.            */
proc gplot data= citytemp;
   plot faren*month=city / hminor=0;
run;

 /* Generate second graph with modified axes */
footnote2 j=l '         Appointment Book';
footnote3 ' ';

 /* Define symbol characteristics */
symbol1 color=dabg interpol=spline value=triangle
        height=2;
symbol2 color=mob interpol=spline value=circle
        height=2;
symbol3 color=day interpol=spline value=square
        height=2;

 /* Define axis characteristics */
axis1 label=none
      value=('JAN' 'FEB' 'MAR' 'APR' 'MAY' 'JUN'
             'JUL' 'AUG' 'SEP' 'OCT' 'NOV' 'DEC')
      order = 1 to 12 by 1
      offset=(2)
      width=1;
axis2 label=('Degrees' justify=right 'Fahrenheit')
      order=(0 to 100 by 10)
      width=1;

 /* Enhance the legend */
legend1 label=none value=(tick=1 'Minneapolis');

   plot faren*month=city /
        haxis=axis1 hminor=0
        vaxis=axis2 vminor=1
        legend=legend1;
run;
quit;

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These sample files and code examples are provided by SAS Institute Inc. "as is" without warranty of any kind, either express or implied, including but not limited to the implied warranties of merchantability and fitness for a particular purpose. Recipients acknowledge and agree that SAS Institute shall not be liable for any damages whatsoever arising out of their use of this material. In addition, SAS Institute will provide no support for the materials contained herein.

This example shows that when your data contains a classification variable that groups data, you can use a plot request with PROC GPLOT to generate a separate interpolation line for each unique value of the classification variable.

Type:	Sample
Topic:	SAS Reference ==> Procedures ==> GPLOT Query and Reporting ==> Creating Reports ==> Graphical ==> Graph Elements ==> Symbols/Interpolation

Date Modified:	2005-09-01 03:03:11
Date Created:	2005-05-23 14:17:08

Operating System and Release Information

Product Family	Product	Host	SAS Release
			Starting	Ending
SAS System	SAS/GRAPH	z/OS	9.1 TS1M0
		Microsoft® Windows® for 64-Bit Itanium-based Systems	9.1 TS1M0
		Microsoft Windows Server 2003 Datacenter 64-bit Edition	9.1 TS1M0
		Microsoft Windows Server 2003 Enterprise 64-bit Edition	9.1 TS1M0
		Microsoft Windows 2000 Advanced Server	9.1 TS1M0
		Microsoft Windows 2000 Datacenter Server	9.1 TS1M0
		Microsoft Windows 2000 Server	9.1 TS1M0
		Microsoft Windows 2000 Professional	9.1 TS1M0
		Microsoft Windows NT Workstation	9.1 TS1M0
		Microsoft Windows Server 2003 Datacenter Edition	9.1 TS1M0
		Microsoft Windows Server 2003 Enterprise Edition	9.1 TS1M0
		Microsoft Windows Server 2003 Standard Edition	9.1 TS1M0
		Microsoft Windows XP Professional	9.1 TS1M0
		64-bit Enabled AIX	9.1 TS1M0
		64-bit Enabled HP-UX	9.1 TS1M0
		64-bit Enabled Solaris	9.1 TS1M0
		HP-UX IPF	9.1 TS1M0
		Linux	9.1 TS1M0
		OpenVMS Alpha	9.1 TS1M0
		Tru64 UNIX	9.1 TS1M0