Hi. You will probably have to use Unicode value for whatever symbols you want to use. Could you provide a picture of the equation you would like displayed? Anca. ... View more

Here is a link to proc greplay and tables from proc tabulate: http://www.nesug.org/proceedings/nesug07/ap/ap16.pdf Very nice, it will take a bit of tweaking, but using proc printto...it is doable. In a nutshell: *define a filename path (open a text editor and save it as whatever; filename whatever '&path.\whatever.txt' ; proc printto print = whatever new;run; *tell SAS to print what is coming up in this txt file; proc tabulate data = sashelp.class;  *silly table,for example purposes; var age height; class sex; table age sex; run; proc printto;run; proc gprint fileref = whatevername= 'my_table';run; proc gplot data = sashelp.class gout = work.graphs;     plot age*weight  / name = "age_wt"; run;quit; proc greplay igout=work.gseg tc=sashelp.templt template=v2 nofs; treplay 1:age_wt 2:my_table; run;quit; Anca. ... View more

Are you thinking of a data _NULL_ step? Which I am not sure it makes sense with just x = 1; Anca. ... View more

Could use PROC FREQ and the CHISQ? Chi-sq will tell you that at least two of the proportions differ. Anca. PS:you may need to re-arrange your data something like: data have; input sample $ ethnicity $; cards; A white A white B black B white B asian A asian A asian B black ; proc freq data = have; tables sample*ethnicity/chisq; run; Anca Message was edited by: Anca Tilea And this link actually offers more details and probably what you need: http://support.sas.com/kb/22/565.html ... View more

As noted,the plots option goes with the lsmeans statement,as I initially posted. Anca ... View more

Try using Proc surveyreg  data = yourdata plots =.... Maybe it needs you to specify the data... ... View more

It would help if you posted the LOG (or some part of it - mainly containing the error) so we can figure out what syntax I wrong. Anca. ... View more

According to SAS support: SAS/STAT(R) 9.22 User's Guide You need to use the LSMEANS statement with the PLOT option, like this: data IceCreamDataDomain;   input Grade Spending Income Gender$ @@;   datalines; 7 7 39 M 7 7 38 F 8 12 47 F 9 10 47 M 7 1 34 M 7 10 43 M 7 3 44 M 8 20 60 F 8 19 57 M 7 2 35 M 7 2 36 F 9 15 51 F 8 16 53 F 7 6 37 F 7 6 41 M 7 6 39 M 9 15 50 M 8 17 57 F 8 14 46 M 9 8 41 M 9 8 41 F 9 7 47 F 7 3 39 F 7 12 50 M 7 4 43 M 9 14 46 F 8 18 58 M 9 9 44 F 7 2 37 F 7 1 37 M 7 4 44 M 7 11 42 M 9 8 41 M 8 10 42 M 8 13 46 F 7 2 40 F 9 6 45 F 9 11 45 M 7 2 36 F 7 9 46 F ; data StudentTotals;   input Grade _TOTAL_;   datalines; 7 1824 8 1025 9 1151 ; data IceCreamDataDomain;   set IceCreamDataDomain;   if Grade=7 then Prob=20/1824;   if Grade=8 then Prob=9/1025;   if Grade=9 then Prob=11/1151;   Weight=1/Prob; run; title1 'Ice Cream Spending Analysis'; title2 'Compare Domain Statistics'; proc surveyreg data=IceCreamDataDomain total=StudentTotals;   strata Grade;   class Gender;   model Spending = Gender / vadjust=none;   lsmeans Gender / diff plots=(diff meanplot(cl));   weight Weight; run; I hope this helps; Anca. ... View more