st: AW: Common legend with -graph combine-

 From "Martin Weiss" To Subject st: AW: Common legend with -graph combine- Date Wed, 11 Feb 2009 13:27:30 +0100

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findit grc1leg
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HTH
Martin

-----Ursprüngliche Nachricht-----
Von: owner-statalist@hsphsun2.harvard.edu
[mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Morten Vejs
Willert
Gesendet: Mittwoch, 11. Februar 2009 13:22
An: 'statalist@hsphsun2.harvard.edu'
Betreff: st: Common legend with -graph combine-

I have a question regarding the -graph combine- command: Has anyone figured
out how to get a common legend on a combined graph, that will identify the
groups represented in the individual graphs. I want combine 6 graphs
(showing 6 different measures over time on the same two groups) and would
like 1 (and not 6) legends to appear on the final combined graph.

I have tried suppressing the legend on five of the graphs and then leaving
it on one graph. Unfortunately this has the downside, that the graph area on
the graph with the legend becomes half the size of the graph areas of the
other graphs.

Ideas for a solution to this will be greatly appreciated.

I have tried constructing an example from one of the supplied Stata dataset:

***********************************************************************

sysuse cancer.dta, clear

* making scatterplot A
twoway  (scatter age studytime if drug==1     ///
, msymbol(O) lpattern(-) lcol(black) mcol(black)) ///
(scatter age studytime if drug==2     ///
, msymbol(O) lpattern(solid) lcol(blue) mcol(blue)) ///
, title("Scatterplot A")       ///
legend(order(1 "Drug 1"  2 "Drug 2"))    ///
name(ScatA, replace)

* making scatterplot B
twoway  (scatter age studytime if drug==2     ///
, msymbol(O) lpattern(-) lcol(blue) mcol(blue))  ///
(scatter age studytime if drug==3     ///
, msymbol(O) lpattern(solid) lcol(red) mcol(red)) ///
, title("Scatterplot B")       ///
legend(order(1 "Drug 2"  2 "Drug 3"))    ///
name(ScatB, replace)

* combining scatterplots A and B
graph combine ScatA ScatB

***********************************************************************

Best regards

Morten Vejs Willert

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