BookmarkSubscribeRSS Feed
☑ This topic is solved. Need further help from the community? Please sign in and ask a new question.
David17
Fluorite | Level 6

I am trying to create a sgpanel of hbox, organized by 4 physician categories, with boxes for each physician specialty.  Each specialty belongs to a single category.  So specgp="Family Medicine" only belongs to the SpecCat="General."   When I try to create this, SAS tries to put all the specialty options in for all the category panels, when the other 3 categories have no data for that specialty.  I want to suppress the output in those other panels where there's no data.

Also, the number of specialties varies by category.  "General" has 3 specialties while "Internal" has 7.  I'd like the height of each panel to adjust depending on how many specialties there are.  I'd like a different reference line for each panel.  This code puts all 4 reference lines in all 4 panels.  

I created some test data with 2 categories and 5 specialties to show what I mean.  Thanks in advance.  I'm using SAS 9.4.

data phystest;
input speccat $ specgp $ out;
datalines;
General Family 0.2
General Family 0.3
General Family 0
General Family -0.2
General Pediatric 0.1
General Pediatric -0.1
General Pediatric -0.2
General Pediatric -0.5
Internal Surgery -0.5
Internal Surgery -0.7
Internal Surgery -0.8
Internal Surgery -0.9
Internal Cardiology 1.2
Internal Cardiology 1.4
Internal Cardiology 1.7
Internal Cardiology 1.3
Internal Radiology 0.7
Internal Radiology 0.5
Internal Radiology 0.2
Internal Radiology 0.9
Internal Radiology 1.7
;
proc sgpanel data=phystest noautolegend;
   panelby speccat / rows=2;
   refline 0.25 -0.25 / axis=x label lineattrs=(color=GREEN);
   hbox out / category=specgp ;
   colaxis grid minor minorcount=4 
   min=-1 max=2 gridattrs=(color=LIGR);
   label speccat="Category" specgp="Specialty";
run;

 

1 ACCEPTED SOLUTION

Accepted Solutions
Ksharp
Super User
/*
That is not an easy task.
Here is an example.
*/
data phystest;
infile datalines truncover;
input speccat $ specgp $ out ref ;
datalines;
General Family 0.2  0.25
General Family 0.3
General Family 0
General Family -0.2
General Pediatric 0.1
General Pediatric -0.1
General Pediatric -0.2
General Pediatric -0.5
Internal Surgery -0.5  -0.25
Internal Surgery -0.7
Internal Surgery -0.8
Internal Surgery -0.9
Internal Cardiology 1.2
Internal Cardiology 1.4
Internal Cardiology 1.7
Internal Cardiology 1.3
Internal Radiology 0.7
Internal Radiology 0.5
Internal Radiology 0.2
Internal Radiology 0.9
Internal Radiology 1.7
;

proc sgpanel data=phystest  noautolegend ;
   panelby speccat / rows=2 uniscale=column PROPORTIONAL nowall;
   hbox out / category=specgp ;
   colaxis grid minor minorcount=4 
   min=-1 max=2 gridattrs=(color=LIGR);
   label speccat="Category" specgp="Specialty";
   refline ref/axis=x lineattrs=(color=green) label;
run;


Ksharp_0-1691149658328.png

 

View solution in original post

2 REPLIES 2
Ksharp
Super User
/*
That is not an easy task.
Here is an example.
*/
data phystest;
infile datalines truncover;
input speccat $ specgp $ out ref ;
datalines;
General Family 0.2  0.25
General Family 0.3
General Family 0
General Family -0.2
General Pediatric 0.1
General Pediatric -0.1
General Pediatric -0.2
General Pediatric -0.5
Internal Surgery -0.5  -0.25
Internal Surgery -0.7
Internal Surgery -0.8
Internal Surgery -0.9
Internal Cardiology 1.2
Internal Cardiology 1.4
Internal Cardiology 1.7
Internal Cardiology 1.3
Internal Radiology 0.7
Internal Radiology 0.5
Internal Radiology 0.2
Internal Radiology 0.9
Internal Radiology 1.7
;

proc sgpanel data=phystest  noautolegend ;
   panelby speccat / rows=2 uniscale=column PROPORTIONAL nowall;
   hbox out / category=specgp ;
   colaxis grid minor minorcount=4 
   min=-1 max=2 gridattrs=(color=LIGR);
   label speccat="Category" specgp="Specialty";
   refline ref/axis=x lineattrs=(color=green) label;
run;


Ksharp_0-1691149658328.png

 

SAS Innovate 2025: Save the Date

 SAS Innovate 2025 is scheduled for May 6-9 in Orlando, FL. Sign up to be first to learn about the agenda and registration!

Save the date!

How to Concatenate Values

Learn how use the CAT functions in SAS to join values from multiple variables into a single value.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 2 replies
  • 480 views
  • 1 like
  • 2 in conversation