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YYK273
Obsidian | Level 7

Hi SAS Community,

I've been trying to create a grouped forest plot in SAS, but so far, I've only been able to find resources on how to create a single forest plot. However, my requirement is to combine two forest plots into one, similar to the attached sample plot.41467_2023_42581_Fig6_HTML.png

 

I'm wondering if anyone could offer some guidance on how to achieve this. Should I use proc sgplot or proc template for this purpose? Currently, I'm using the proc sgplot code provided in this post: CTSPedia Clinical Graphs - Subgrouped Forest Plot.

Any insights or examples you could share would be greatly appreciated!

Thank you in advance!

Jess

1 ACCEPTED SOLUTION

Accepted Solutions
Ksharp
Super User
data have;
call streaminit(123);
do year=1 to 2;
 do id=1 to 10;
     if id in (3:4  6 8 10) then new_id=id;
	  else new_id=.;

   mean=rand('uniform',-0.1,0.1);
   error=rand('uniform',-0.05,0.05);
   lower=mean-error;
   upper=mean+error;
   output;
 end;
end;
run;
proc sgpanel data=have ;
panelby year/spacing=0;
scatter x=mean y=id/xerrorlower=lower xerrorupper=upper;
rowaxis type=discrete offsetmin=0.05 offsetmax=0.05 ;
refline 0/axis=x lineattrs=(pattern=dash);
refline new_id/axis=y lineattrs=(thickness=40) transparency=0.8;
run;

Ksharp_0-1714793592979.png

 

View solution in original post

2 REPLIES 2
Ksharp
Super User

That is what PROC SGPANEL supposed to do .

data have;
call streaminit(123);
do year=1 to 2;
 do id=1 to 10;
   if id=1 then new_id=1;
    else if id in (2:4) then new_id=2;
	 else  if id=5 then new_id=5;
      else  if id=6 then new_id=6;
	   else if id in (7:8) then new_id=7;
         else new_id=id;

   mean=rand('uniform',-0.1,0.1);
   error=rand('uniform',-0.05,0.05);
   lower=mean-error;
   upper=mean+error;
   output;
 end;
end;
run;
proc sgpanel data=have;
panelby year;
scatter x=mean y=id/xerrorlower=lower xerrorupper=upper;
rowaxis type=discrete offsetmin=0.05 offsetmax=0.05 ;
refline 0/axis=x lineattrs=(pattern=dash);
refline new_id/axis=y discreteoffset=0.5;
run;

Ksharp_0-1714787825098.png

 

Ksharp
Super User
data have;
call streaminit(123);
do year=1 to 2;
 do id=1 to 10;
     if id in (3:4  6 8 10) then new_id=id;
	  else new_id=.;

   mean=rand('uniform',-0.1,0.1);
   error=rand('uniform',-0.05,0.05);
   lower=mean-error;
   upper=mean+error;
   output;
 end;
end;
run;
proc sgpanel data=have ;
panelby year/spacing=0;
scatter x=mean y=id/xerrorlower=lower xerrorupper=upper;
rowaxis type=discrete offsetmin=0.05 offsetmax=0.05 ;
refline 0/axis=x lineattrs=(pattern=dash);
refline new_id/axis=y lineattrs=(thickness=40) transparency=0.8;
run;

Ksharp_0-1714793592979.png

 

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