BookmarkSubscribeRSS Feed
☑ This topic is solved. Need further help from the community? Please sign in and ask a new question.
lsandell
Obsidian | Level 7

I have constructed a plot of an interaction term with 5 "levels" using the predicted means and upper/lower values using the OUTPREDM option in my model statement from my proc mixed model. I set my alpha to 0.05 (i.e., the default in Proc Mixed) and used the default upper, pred, and lower variables in my output dataset. I am using version 9.4 m7 on the windowing environment.

 

My figure is nearly how I want it to look; however, I am confused why there are 2 sets of confidence outlines per each mean. If you look closely, you can see that there are two orange-yellow bands below the 0 line and there are two bands of the same classification above the 0 mean line. I am not sure how there are two lines for the lower confidence bands? I checked the raw values at each time point and level of the term, and there are only 5 unique upper and lower values, so I'm perplexed. Is there a way to make it be a single upper bound and a single lower bound per level of the interaction? Thank you!

 

I have provided both the with outlines and without ("nooutlines") figures for comparison. 

proc sgplot data=model noautolegend dattrmap=attrmap1;
	band 	x=time upper=upper lower=lower / group=group transparency=0.75
			attrid=map1 outline;
	series 	x=time y=pred / name="Visit" group=group lineattrs=(thickness=3) curvelabel attrid=map1;
	yaxis 	values=(0.2 0 -0.2 -0.4 -0.6 -0.8 -1 -1.2 -1.4) label="Predicted Y";
	keylegend "Visit";
run;

SGPlot135.pngSGPlot136.png 

 

1 ACCEPTED SOLUTION

Accepted Solutions
ballardw
Super User

You may want to mark your post with the reran and no error as a "solved" so others don't look in here to see what may be going on.

 

Without knowing your entire SAS session history, environment, ODS destination and options this sort of intermittent behavior is not amenable to much fixing. If you see this again see if you can duplicate the result with a new session. If you can then it would be a good idea to contact tech support as a repeatable issue like this would be their responsibility.

View solution in original post

4 REPLIES 4
ballardw
Super User

The only suggestion I can make is to look very closely at your data set used for plotting, especially the values of Upper and Lower at the Time values where the gap between the duplicate confidence limits appear greatest within each group.

lsandell
Obsidian | Level 7
Thank you for the suggestion. I did investigate all the raw values and there weren't double bounds for each of the groups. What is very strange is that I re-ran the code today and I'm not getting double lines for the upper and lower values with the exact same data and code. I appreciate your input!
ballardw
Super User

You may want to mark your post with the reran and no error as a "solved" so others don't look in here to see what may be going on.

 

Without knowing your entire SAS session history, environment, ODS destination and options this sort of intermittent behavior is not amenable to much fixing. If you see this again see if you can duplicate the result with a new session. If you can then it would be a good idea to contact tech support as a repeatable issue like this would be their responsibility.

lsandell
Obsidian | Level 7

Re-ran in a new session and the error did not persist. If this issues arises again and I can replicate it, I will follow ballardw's suggestion.

sas-innovate-2024.png

Available on demand!

Missed SAS Innovate Las Vegas? Watch all the action for free! View the keynotes, general sessions and 22 breakouts on demand.

 

Register now!

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.

Click image to register for webinarClick image to register for webinar

Classroom Training Available!

Select SAS Training centers are offering in-person courses. View upcoming courses for:

View all other training opportunities.

Discussion stats
  • 4 replies
  • 288 views
  • 1 like
  • 2 in conversation