Date:         Thu, 18 Dec 2008 08:17:59 -0800
Reply-To:     "Pardee, Roy" <pardee.r@GHC.ORG>
Sender:       "SAS(r) Discussion" <SAS-L@LISTSERV.UGA.EDU>
From:         "Pardee, Roy" <pardee.r@GHC.ORG>
Subject:      Re: How to distinguish variables on a scatter plot
Comments: To: Paul Lambson <paullambson@GMAIL.COM>
In-Reply-To:  <d051b19c-84ae-4446-941d-6bc5fefe1654@j39g2000yqn.googlegroups.com>
Content-Type: text/plain; charset="us-ascii"

I don't think base sas' PLOT will do color.  You can cause sas to use different plot symbols for males & females though, like so:

  plot tlc*height = sex ;

If you've got sas/graph licensed you can get color with proc GPLOT.  Use that same plot statement & you'll get different colors/symbols for males & females.

HTH,

-Roy

-----Original Message-----
From: SAS(r) Discussion [mailto:SAS-L@LISTSERV.UGA.EDU] On Behalf Of Paul Lambson
Sent: Wednesday, December 17, 2008 11:17 PM
To: SAS-L@LISTSERV.UGA.EDU
Subject: How to distinguish variables on a scatter plot

I am trying to use a scatter plot graph and use two make the variables different colors. In this example I would like the female and the male observations to be different. Any help on this would be great.

Thanks,
Paul

proc format;
value sex
0='Females'
1='Males'
;
run;

data lung;
input patient age sex height tlc;
format sex sex.;
label
patient='Patient ID number'
age='Age in years'
sex='Sex (0=female 1=male)'
height='Height (cm)'
tlc='Total lung capacity'
;
cards;
  1   35   0  149  3.40
  2   11   0  138  3.41
  3   12   1  148  3.80
  4   16   0  156  3.90
  5   32   0  152  4.00
  6   16   0  157  4.10
  7   14   0  165  4.46
  8   16   1  152  4.55
  9   35   0  177  4.83
 10   33   0  158  5.10
 11   40   0  166  5.44
 12   28   0  165  5.50
 13   23   0  160  5.73
 14   52   1  178  5.77
 15   46   0  169  5.80
 16   29   1  173  6.00
 17   30   0  172  6.30
 18   21   0  163  6.55
 19   21   0  164  6.60
 20   20   1  189  6.62
 21   34   1  182  6.89
 22   43   1  184  6.90
 23   35   1  174  7.00
 24   39   1  177  7.20
 25   43   1  183  7.30
 26   37   1  175  7.65
 27   32   1  173  7.80
 28   24   1  173  7.90
 29   20   0  162  8.05
 30   25   1  180  8.10
 31   22   1  173  8.70
 32   25   1  171  9.45
;
run;

proc plot data=lung;
title1 'Figure 1: Total lung capacity vs height';
title2 'Low-resolution plot using default options'; plot tlc*height; run; quit;