You can add a label at each data point on a spaghetti plot, with the DATALABEL option after the / on the SERIES statement.  Below is sample code that illustrates the syntax: data one; input trt_group time subject results; datalines; 1 2 100 20 1 4 100 30 1 6 100 35 1 8 100 50 1 2 200 40 1 4 200 25 1 6 200 40 1 8 200 30 1 2 300 25 1 4 300 40 1 6 300 45 1 8 300 55 2 2 400 15 2 4 400 35 2 6 400 50 2 8 400 45 2 2 500 35 2 4 500 35 2 6 500 20 2 8 500 35 ; run; ODS html; proc sgplot data=one; title 'Study Results by Treatment Group'; series x=time y=results / group=subject grouplc=trt_group name='grouping' datalabel=results; keylegend 'grouping' / type=linecolor; run; ... View more

Beginning with SAS Studio 5.2, we provide the ability to view up to 1000 rows per page. This option is not available with SAS Studio 3.x versions.    Providing the ability to go directly to a row within a table is a feature request that development has on their to-do list.   Currently, you would need to use data step logic to go to a specific row in a table.  The data step below creates a new data set that begins with the 6th observation in the table. data new; set sashelp.class; if _n_> 5; run; ... View more

You can use an INSET statement to display the difference value in the graph. Below is code that shows you how to calculate the difference.   data kccq_data; length Treatment $ 15; input ID $ KCCQ_var Treatment $ Timepoint; datalines; 1 15 Implant 1 2 24 Implant 1 3 34 Implant 1 4 44 Implant 1 5 54 Implant 1 6 65 Implant 1 7 73 Implant 1 8 83 Implant 1 9 95.5 Implant 1 10 20 Implant 7 11 31 Implant 7 12 45.5 Implant 7 13 55.5 Implant 7 14 51 Implant 7 15 65.5 Implant 7 16 82 Implant 7 17 82 Implant 7 18 72 Implant 7 19 60 Implant 7 20 20 Implant 7 1 10 Control 1 2 22 Control 1 3 30 Control 1 4 42 Control 1 5 50 Control 1 6 80 Control 1 7 71 Control 1 8 60 Control 1 9 90 Control 1 10 72 Control 1 11 51 Control 7 12 30 Control 7 13 50 Control 7 14 70 Control 7 15 51 Control 7 16 60 Control 7 17 20 Control 7 18 11 Control 7 19 20 Control 7 20 30 Control 7 ; run; proc sort data=kccq_data out=kccq_data;  by treatment timepoint; run;  /* calculate mean for each treatment & timepoint */ proc means data=kccq_data;  var kccq_var;  by treatment timepoint;  output out=mean mean=mean; run; proc sort data=mean out=result;   by treatment; run;    /* Calculate Difference Between Mean Values For Each Treatment & Timepoint */ /* This code assumes there are two treatments. You can modify this code to make it more dynamic */    data new (keep=diff treatment timepoint) ;  label diff='Diff between means is ';  format diff 5.2;  set result;    lag1=lag(mean);    lag2=lag2(mean);  if _n_=2 then do;    diff=lag1-mean;    output;  end;  if _n_=4 then do;    diff=lag1-mean;  output;  end;  run;   data all;   merge new kccq_data;   by treatment  ; run;   proc sgpanel data = all;   panelby treatment / columns = 2 novarname;   vbox kccq_var / category = timepoint group= treatment connect=mean;   keylegend / title = "Treatment Arm";   rowaxis label='KCCQ Overall Summary Score';   inset  diff/position=ne; run; ... View more