Thank you - it works like a charm! You have made my day...
Greetings... Morten
-----Oprindelig meddelelse-----
Fra: [email protected] [mailto:[email protected]] På vegne af Martin Weiss
Sendt: 11. februar 2009 13:28
Til: [email protected]
Emne: st: AW: Common legend with -graph combine-
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findit grc1leg
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HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Morten Vejs Willert
Gesendet: Mittwoch, 11. Februar 2009 13:22
An: '[email protected]'
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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