Hi! I hope my title makes sense and my problem also makes sense!
I'm comparing lsmeans of groups of people who meet exercise minute guidelines (variable=guideline_levels, and the groupings are none, insufficient, adequate, and high). And I want to look at their cardiovascular score (iCVH). With the guideline_levels, I want to group compare means by APO (adverse pregnancy outcomes).
FYI: The other variables in my code are age, time between visits, race, insurance status, and smoking status. These are just additional variables for my model.
Below is a graph I have, but it's not what I'm going for. I would like to have the guideline_levels together.
proc glm data= exercise.analyticsample;
class guideline_levels (ref='None') APO crace Insurance Smoking;
model iCVH_v5 = guideline_levels age_at_v1 time_bw_cv_ped crace Insurance Smoking APO guideline_levels*APO;
lsmeans guideline_levels*APO / cl obsmargins;
run;
What exactly does "Below is a graph I have, but it's not what I'm going for. I would like to have the guideline_levels together. ". Together where?
From what I see the x axis values are "together", as in "Adequate" is together.
If you mean the 0/1 suffix then you should pay attention to that order. If your variable is CHARACTER it will sort alphabetically by default for the Xaxis variable. If you want the 0/1 together change the value to start with 0 or 1.
Otherwise provide actual data as a working data set and tell us explicitly what order you want, where.
I also don't see any plot options in your code.
I was talking about grouping the guideline_levels as one. I would like to have 4 values in the x-axis, and not 8.
Create a format that groups variable values.
Maybe (since I am still not sure which actual groups you want)
Proc format; value $guide 'Adequate 0', 'Adequate 1' ='Adequate' <repeat as needed, I'm too lazy to type a bunch of stuff from a picture> ; and add to your GLM code: format Guideline_levels $guide. ; You will need to change the Class reference value to the new formatted value as well.
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