Estimate & Contrast Commands

[StatDave]

Actually, it is more likely that would result from the data not being in proper sorted order. Be sure that the values in the DATA= data set are sorted in increasing order of the X axis variable (cPAreactpost).

[Heejeong]

Thank you so much!

So I tried the code below to proc sort the data by the predictor but got the following error message:

I also tried deleting the values statement but it didn't change the figure shape. Thank you so much for troubleshooting this with me!

 proc means data=JH.Final3;
      var cPAreactpost; 
      output out=out mean=mean std=sd;
      run;
    data mdat;
      set out;
      keep cPAreactpost;
      do cPAreactpost = mean-sd, mean, mean+sd;
        output;
      end;
      run;
    %Margins(data=JH.Final3, response=B4BNOCRE, model=cage ClinicSex marriedmidus work race_orig  cedu cHHtotalIncome EverSmokeReg Exercise20mins CNSmeds cBMI cCESD cNeuroticism  cChronCondNumb  cAnyStressWide_sum cpa_mlm2 cPAreactpost,
             margins=cPAreactpost, margindata=mdat,
             options=diff reverse cl)

proc sort data=_margins; 
by cPAreactpost;
run;

proc sgplot data=_margins noautolegend;
band upper=UPPER lower=LOWER x=cPAreactpost ;*/ transparency=.3;
series y=ESTIMATE x=cPAreactpost;
xaxis values=(-0.0627 0 0.0627) grid offsetmin=.05 offsetmax=.05
label="Positive Affective Responsivity";
yaxis values=(10 to 40  by 5) grid offsetmin=.05 offsetmax=.05 
label="Norepinephrine";
title "Effects of Positive Affective Responsivity on Norepinephrine";
run;

[StatDave]

Perhaps you have the _MARGINS data set open in a ViewTable window. If not, try adding an OUT= option in your PROC SORT step (proc sort data=_margins out=mymargins; ...) and then using the MYMARGINS data in PROC SGPLOT. If none of that works, close and restart SAS and rerun all of it (with the OUT= in PROC SORT).

[Heejeong]

I closed everything and reran the syntax with the "with the OUT= in PROC SORT" and it worked! I can't be more thankful for all your help today! I learned so much and feel so much more confident with my analyses. Thank you so much, @StatDave , for your helpful and fast responses even at night time! I really appreciate it.