topic Re: Can you utilize the mean and median functions within a proc sgplot? in New SAS User

Can you utilize the mean and median functions within a proc sgplot?

joebacon — Fri, 11 Jan 2019 19:01:08 GMT

Hi all!

I have some time series data with which I want to plot the means and medians. I am wondering if you are able to call upon the mean and median (and other functions) within the proc sgplot?

For instance, I have the following code where I am making 14 separate line plots :

%Macro Line(ET); 

proc sgplot data = Sub.Tall_M_IndEXP_Better_JB_011119;
	where ExpenseType like &ET;
	series x = Month y = mean(Value) / group= Trichot_1YR  curvelabel;
	xaxis values =(1 to 12 by 1);
run;
%mend;
%Line('Tax')
%Line('Trans')

I am getting an error when trying to utilize the function in this way that states that the variable MEAN is not found. The way around it is simply take the means before and utilize this new data, but it had me thinking if you could utilize these functions in the middle of a Proc step?

I was hoping that someone would be able to explain to me why or why not as I am still trying to learn the intricacies of SAS.

Like always, if you see any problems/inefficiencies in my code, please point it out! I am always trying to learn. Also, thank you in advance!

Re: Can you utilize the mean and median functions within a proc sgplot?

PaigeMiller — Fri, 11 Jan 2019 19:49:23 GMT

You can't use the MEAN function inside of PROC SGPLOT.

What you can do is run a PROC SUMMARY to compute the means (and medians and any other statistic you want) and then take the results of PROC SUMMARY and run that through PROC SGPLOT.

Hashtag: #PROCSUMMARYRULEZ

Re: Can you utilize the mean and median functions within a proc sgplot?

PGStats — Fri, 11 Jan 2019 20:06:25 GMT

You can use the VLINE statement in SGPLOT to plot statistics. For example:

proc sgplot data=sashelp.class;
vline age / group=sex response=weight stat=median;
run;

Re: Can you utilize the mean and median functions within a proc sgplot?

joebacon — Fri, 11 Jan 2019 20:59:24 GMT

Thank you kindly good sir!

I went about it the long way, but have bookmarked this for the future. 🙂