Re: calculating means in a subsampled survey design

If I wanted to calculate means by year, treatment, and height, could I add
treatment to the domain statement? I don't think treatment is clustered
in area, because each area has only one control and one treatment
subplot. Thanks for your help!

The code would look like this:
proc surveymeans data=sample;
stratum area;
cluster transect;
domain year*trt*height;
var count;
run;

Here is a larger subset of the data (I have almost 17000 observations):
year area trt transect distance height count
2005 BC m BCE1 0 0 0
2005 BC m BCE1 0 0.5 0
2005 BC m BCE1 0 1 0
2005 BC m BCE1 0 1.5 0
2005 BC m BCE1 0 2 0
2005 BC m BCE1 0 2.5 10
2005 BC m BCE1 0 3 26
2005 BC m BCE1 0 3.5 8
2005 BC m BCE1 5 0 0
2005 BC m BCE1 5 0.5 0
2005 BC m BCE1 5 1 3
2005 BC m BCE1 5 1.5 3
2005 BC m BCE1 5 2 6
2005 BC m BCE1 5 2.5 10
2005 BC m BCE1 5 3 5
2005 BC m BCE1 5 3.5 0
2006 BC m BCE1 0 0 0
2006 BC m BCE1 0 0.5 0
2006 BC m BCE1 0 1 0
2006 BC m BCE1 0 1.5 0
2006 BC m BCE1 0 2 0
2006 BC m BCE1 0 2.5 0
2006 BC m BCE1 0 3 0
2006 BC m BCE1 0 3.5 0
2006 BC m BCE1 5 0 0
2006 BC m BCE1 5 0.5 0
2006 BC m BCE1 5 1 0
2006 BC m BCE1 5 1.5 0
2006 BC m BCE1 5 2 0
2006 BC m BCE1 5 2.5 0
2006 BC m BCE1 5 3 0
2006 BC m BCE1 5 3.5 0
2007 BC m BCE1 0 0 12
2007 BC m BCE1 0 0.5 5
2007 BC m BCE1 0 1 0
2007 BC m BCE1 0 1.5 0
2007 BC m BCE1 0 2 0
2007 BC m BCE1 0 2.5 0
2007 BC m BCE1 0 3 0
2007 BC m BCE1 0 3.5 0
2007 BC m BCE1 5 0 0
2007 BC m BCE1 5 0.5 0
2007 BC m BCE1 5 1 0
2007 BC m BCE1 5 1.5 0
2007 BC m BCE1 5 2 0
2007 BC m BCE1 5 2.5 0
2007 BC m BCE1 5 3 0
2007 BC m BCE1 5 3.5 0
2008 BC m BCE1 0 0 0
2008 BC m BCE1 0 0.5 0
2008 BC m BCE1 0 1 0
2008 BC m BCE1 0 1.5 0
2008 BC m BCE1 0 2 0
2008 BC m BCE1 0 2.5 0
2008 BC m BCE1 0 3 0
2008 BC m BCE1 0 3.5 0
2008 BC m BCE1 5 0 0
2008 BC m BCE1 5 0.5 0
2008 BC m BCE1 5 1 0
2008 BC m BCE1 5 1.5 0
2008 BC m BCE1 5 2 0
2008 BC m BCE1 5 2.5 0
2008 BC m BCE1 5 3 0
2008 BC m BCE1 5 3.5 0
2005 BC m BCE10 0 0 0
2005 BC m BCE10 0 0.5 0
2005 BC m BCE10 0 1 0
2005 BC m BCE10 0 1.5 0
2005 BC m BCE10 0 2 0
2005 BC m BCE10 0 2.5 0
2005 BC m BCE10 0 3 0
2005 BC m BCE10 0 3.5 9
2005 BC m BCE10 5 0 0
2005 BC m BCE10 5 0.5 0
2005 BC m BCE10 5 1 2
2005 BC m BCE10 5 1.5 0
2005 BC m BCE10 5 2 3
2005 BC m BCE10 5 2.5 1
2005 BC m BCE10 5 3 3
2005 BC m BCE10 5 3.5 3
2006 BC m BCE10 0 0 0
2006 BC m BCE10 0 0.5 0
2006 BC m BCE10 0 1 0
2006 BC m BCE10 0 1.5 0
2006 BC m BCE10 0 2 0
2006 BC m BCE10 0 2.5 0
2006 BC m BCE10 0 3 0
2006 BC m BCE10 0 3.5 0
2006 BC m BCE10 5 0 4
2006 BC m BCE10 5 0.5 3
2006 BC m BCE10 5 1 0
2006 BC m BCE10 5 1.5 0
2006 BC m BCE10 5 2 0
2006 BC m BCE10 5 2.5 0
2006 BC m BCE10 5 3 0
2006 BC m BCE10 5 3.5 0
2007 BC m BCE10 0 0 1
2007 BC m BCE10 0 0.5 0
2007 BC m BCE10 0 1 0
2007 BC m BCE10 0 1.5 0
2007 BC m BCE10 0 2 0
2007 BC m BCE10 0 2.5 0
2007 BC m BCE10 0 3 0
2007 BC m BCE10 0 3.5 0
2007 BC m BCE10 5 0 5
2007 BC m BCE10 5 0.5 6
2007 BC m BCE10 5 1 1
2007 BC m BCE10 5 1.5 0
2007 BC m BCE10 5 2 0
2007 BC m BCE10 5 2.5 0
2007 BC m BCE10 5 3 0
2007 BC m BCE10 5 3.5 0
2008 BC m BCE10 0 0 9
2008 BC m BCE10 0 0.5 10
2008 BC m BCE10 0 1 6
2008 BC m BCE10 0 1.5 0
2008 BC m BCE10 0 2 0
2008 BC m BCE10 0 2.5 0
2008 BC m BCE10 0 3 0
2008 BC m BCE10 0 3.5 0
2008 BC m BCE10 5 0 7
2008 BC m BCE10 5 0.5 6
2008 BC m BCE10 5 1 2
2008 BC m BCE10 5 1.5 0
2008 BC m BCE10 5 2 0
2008 BC m BCE10 5 2.5 0
2008 BC m BCE10 5 3 0
2008 BC m BCE10 5 3.5 0
2005 BC c BCW3 0 0 1
2005 BC c BCW3 0 0.5 0
2005 BC c BCW3 0 1 1
2005 BC c BCW3 0 1.5 4
2005 BC c BCW3 0 2 2
2005 BC c BCW3 0 2.5 0
2005 BC c BCW3 0 3 0
2005 BC c BCW3 0 3.5 0
2005 BC c BCW3 5 0 2
2005 BC c BCW3 5 0.5 0
2005 BC c BCW3 5 1 10
2005 BC c BCW3 5 1.5 1
2005 BC c BCW3 5 2 0
2005 BC c BCW3 5 2.5 0
2005 BC c BCW3 5 3 0
2005 BC c BCW3 5 3.5 0
2006 BC c BCW3 0 0 0
2006 BC c BCW3 0 0.5 0
2006 BC c BCW3 0 1 4
2006 BC c BCW3 0 1.5 0
2006 BC c BCW3 0 2 0
2006 BC c BCW3 0 2.5 0
2006 BC c BCW3 0 3 0
2006 BC c BCW3 0 3.5 0
2006 BC c BCW3 5 0 0
2006 BC c BCW3 5 0.5 0
2006 BC c BCW3 5 1 3
2006 BC c BCW3 5 1.5 0
2006 BC c BCW3 5 2 0
2006 BC c BCW3 5 2.5 0
2006 BC c BCW3 5 3 0
2006 BC c BCW3 5 3.5 0
2007 BC c BCW3 0 0 0
2007 BC c BCW3 0 0.5 0
2007 BC c BCW3 0 1 3
2007 BC c BCW3 0 1.5 0
2007 BC c BCW3 0 2 1
2007 BC c BCW3 0 2.5 0
2007 BC c BCW3 0 3 0
2007 BC c BCW3 0 3.5 0
2007 BC c BCW3 5 0 8
2007 BC c BCW3 5 0.5 2
2007 BC c BCW3 5 1 14
2007 BC c BCW3 5 1.5 4
2007 BC c BCW3 5 2 0
2007 BC c BCW3 5 2.5 0
2007 BC c BCW3 5 3 0
2007 BC c BCW3 5 3.5 0
2008 BC c BCW3 0 0 0
2008 BC c BCW3 0 0.5 0
2008 BC c BCW3 0 1 2
2008 BC c BCW3 0 1.5 3
2008 BC c BCW3 0 2 8
2008 BC c BCW3 0 2.5 0
2008 BC c BCW3 0 3 0
2008 BC c BCW3 0 3.5 0
2008 BC c BCW3 5 0 1
2008 BC c BCW3 5 0.5 4
2008 BC c BCW3 5 1 5
2008 BC c BCW3 5 1.5 5
2008 BC c BCW3 5 2 0
2008 BC c BCW3 5 2.5 0
2008 BC c BCW3 5 3 0
2008 BC c BCW3 5 3.5 0
2005 BC c BCW4 0 0 0
2005 BC c BCW4 0 0.5 3
2005 BC c BCW4 0 1 2
2005 BC c BCW4 0 1.5 0
2005 BC c BCW4 0 2 0
2005 BC c BCW4 0 2.5 4
2005 BC c BCW4 0 3 0
2005 BC c BCW4 0 3.5 0
2005 BC c BCW4 5 0 0
2005 BC c BCW4 5 0.5 0
2005 BC c BCW4 5 1 0
2005 BC c BCW4 5 1.5 0
2005 BC c BCW4 5 2 0
2005 BC c BCW4 5 2.5 0
2005 BC c BCW4 5 3 0
2005 BC c BCW4 5 3.5 0
2006 BC c BCW4 0 0 0
2006 BC c BCW4 0 0.5 0
2006 BC c BCW4 0 1 1
2006 BC c BCW4 0 1.5 0
2006 BC c BCW4 0 2 0
2006 BC c BCW4 0 2.5 2
2006 BC c BCW4 0 3 0
2006 BC c BCW4 0 3.5 0
2006 BC c BCW4 5 0 0
2006 BC c BCW4 5 0.5 0
2006 BC c BCW4 5 1 10
2006 BC c BCW4 5 1.5 3
2006 BC c BCW4 5 2 0
2006 BC c BCW4 5 2.5 0
2006 BC c BCW4 5 3 0
2006 BC c BCW4 5 3.5 0
2007 BC c BCW4 0 0 2
2007 BC c BCW4 0 0.5 0
2007 BC c BCW4 0 1 0
2007 BC c BCW4 0 1.5 7
2007 BC c BCW4 0 2 2
2007 BC c BCW4 0 2.5 0
2007 BC c BCW4 0 3 4
2007 BC c BCW4 0 3.5 1
2007 BC c BCW4 5 0 2
2007 BC c BCW4 5 0.5 0
2007 BC c BCW4 5 1 0
2007 BC c BCW4 5 1.5 0
2007 BC c BCW4 5 2 0
2007 BC c BCW4 5 2.5 0
2007 BC c BCW4 5 3 3
2007 BC c BCW4 5 3.5 2
2008 BC c BCW4 0 0 1
2008 BC c BCW4 0 0.5 0
2008 BC c BCW4 0 1 6
2008 BC c BCW4 0 1.5 0
2008 BC c BCW4 0 2 0
2008 BC c BCW4 0 2.5 1
2008 BC c BCW4 0 3 5
2008 BC c BCW4 0 3.5 0
2008 BC c BCW4 5 0 0
2008 BC c BCW4 5 0.5 0
2008 BC c BCW4 5 1 0
2008 BC c BCW4 5 1.5 0
2008 BC c BCW4 5 2 0
2008 BC c BCW4 5 2.5 0
2008 BC c BCW4 5 3 0
2008 BC c BCW4 5 3.5 0
2005 ER m ERE1 0 0 0
2005 ER m ERE1 0 0.5 0
2005 ER m ERE1 0 1 13
2005 ER m ERE1 0 1.5 7
2005 ER m ERE1 0 2 3
2005 ER m ERE1 0 2.5 5
2005 ER m ERE1 0 3 4
2005 ER m ERE1 0 3.5 0
2005 ER m ERE1 5 0 0
2005 ER m ERE1 5 0.5 0
2005 ER m ERE1 5 1 1
2005 ER m ERE1 5 1.5 5
2005 ER m ERE1 5 2 0
2005 ER m ERE1 5 2.5 0
2005 ER m ERE1 5 3 0
2005 ER m ERE1 5 3.5 0
2006 ER m ERE1 0 0 7
2006 ER m ERE1 0 0.5 12
2006 ER m ERE1 0 1 2
2006 ER m ERE1 0 1.5 0
2006 ER m ERE1 0 2 0
2006 ER m ERE1 0 2.5 0
2006 ER m ERE1 0 3 0
2006 ER m ERE1 0 3.5 0
2006 ER m ERE1 5 0 0
2006 ER m ERE1 5 0.5 0
2006 ER m ERE1 5 1 0
2006 ER m ERE1 5 1.5 0
2006 ER m ERE1 5 2 0
2006 ER m ERE1 5 2.5 0
2006 ER m ERE1 5 3 0
2006 ER m ERE1 5 3.5 0
2007 ER m ERE1 0 0 5
2007 ER m ERE1 0 0.5 3
2007 ER m ERE1 0 1 0
2007 ER m ERE1 0 1.5 0
2007 ER m ERE1 0 2 0
2007 ER m ERE1 0 2.5 0
2007 ER m ERE1 0 3 0
2007 ER m ERE1 0 3.5 0
2007 ER m ERE1 5 0 1
2007 ER m ERE1 5 0.5 0
2007 ER m ERE1 5 1 0
2007 ER m ERE1 5 1.5 0
2007 ER m ERE1 5 2 0
2007 ER m ERE1 5 2.5 0
2007 ER m ERE1 5 3 0
2007 ER m ERE1 5 3.5 0
2008 ER m ERE1 0 0 8
2008 ER m ERE1 0 0.5 14
2008 ER m ERE1 0 1 13
2008 ER m ERE1 0 1.5 0
2008 ER m ERE1 0 2 0
2008 ER m ERE1 0 2.5 0
2008 ER m ERE1 0 3 0
2008 ER m ERE1 0 3.5 0
2008 ER m ERE1 5 0 0
2008 ER m ERE1 5 0.5 0
2008 ER m ERE1 5 1 0
2008 ER m ERE1 5 1.5 0
2008 ER m ERE1 5 2 0
2008 ER m ERE1 5 2.5 0
2008 ER m ERE1 5 3 0
2008 ER m ERE1 5 3.5 0
2005 ER m ERE2 0 0 0
2005 ER m ERE2 0 0.5 0
2005 ER m ERE2 0 1 0
2005 ER m ERE2 0 1.5 1
2005 ER m ERE2 0 2 0
2005 ER m ERE2 0 2.5 0
2005 ER m ERE2 0 3 6
2005 ER m ERE2 0 3.5 6
2005 ER m ERE2 5 0 0
2005 ER m ERE2 5 0.5 0
2005 ER m ERE2 5 1 0
2005 ER m ERE2 5 1.5 0
2005 ER m ERE2 5 2 0
2005 ER m ERE2 5 2.5 1
2005 ER m ERE2 5 3 2
2005 ER m ERE2 5 3.5 3
2006 ER m ERE2 0 0 1
2006 ER m ERE2 0 0.5 1
2006 ER m ERE2 0 1 0
2006 ER m ERE2 0 1.5 0
2006 ER m ERE2 0 2 0
2006 ER m ERE2 0 2.5 0
2006 ER m ERE2 0 3 0
2006 ER m ERE2 0 3.5 0
2006 ER m ERE2 5 0 0
2006 ER m ERE2 5 0.5 0
2006 ER m ERE2 5 1 0
2006 ER m ERE2 5 1.5 0
2006 ER m ERE2 5 2 0
2006 ER m ERE2 5 2.5 0
2006 ER m ERE2 5 3 0
2006 ER m ERE2 5 3.5 0
2007 ER m ERE2 0 0 0
2007 ER m ERE2 0 0.5 1
2007 ER m ERE2 0 1 2
2007 ER m ERE2 0 1.5 0
2007 ER m ERE2 0 2 0
2007 ER m ERE2 0 2.5 0
2007 ER m ERE2 0 3 0
2007 ER m ERE2 0 3.5 0
2007 ER m ERE2 5 0 0
2007 ER m ERE2 5 0.5 0
2007 ER m ERE2 5 1 0
2007 ER m ERE2 5 1.5 0
2007 ER m ERE2 5 2 0
2007 ER m ERE2 5 2.5 0
2007 ER m ERE2 5 3 0
2007 ER m ERE2 5 3.5 0
2008 ER m ERE2 0 0 5
2008 ER m ERE2 0 0.5 8
2008 ER m ERE2 0 1 3
2008 ER m ERE2 0 1.5 0
2008 ER m ERE2 0 2 0
2008 ER m ERE2 0 2.5 0
2008 ER m ERE2 0 3 0
2008 ER m ERE2 0 3.5 0
2008 ER m ERE2 5 0 0
2008 ER m ERE2 5 0.5 0
2008 ER m ERE2 5 1 0
2008 ER m ERE2 5 1.5 0
2008 ER m ERE2 5 2 0
2008 ER m ERE2 5 2.5 0
2008 ER m ERE2 5 3 0
2008 ER m ERE2 5 3.5 0
2005 ER c ERW1 0 0 2
2005 ER c ERW1 0 0.5 3
2005 ER c ERW1 0 1 0
2005 ER c ERW1 0 1.5 0
2005 ER c ERW1 0 2 0
2005 ER c ERW1 0 2.5 0
2005 ER c ERW1 0 3 0
2005 ER c ERW1 0 3.5 0
2005 ER c ERW1 5 0 0
2005 ER c ERW1 5 0.5 0
2005 ER c ERW1 5 1 0
2005 ER c ERW1 5 1.5 0
2005 ER c ERW1 5 2 0
2005 ER c ERW1 5 2.5 0
2005 ER c ERW1 5 3 0
2005 ER c ERW1 5 3.5 0
2006 ER c ERW1 0 0 4
2006 ER c ERW1 0 0.5 0
2006 ER c ERW1 0 1 0
2006 ER c ERW1 0 1.5 0
2006 ER c ERW1 0 2 0
2006 ER c ERW1 0 2.5 0
2006 ER c ERW1 0 3 0
2006 ER c ERW1 0 3.5 0
2006 ER c ERW1 5 0 0
2006 ER c ERW1 5 0.5 0
2006 ER c ERW1 5 1 0
2006 ER c ERW1 5 1.5 0
2006 ER c ERW1 5 2 0
2006 ER c ERW1 5 2.5 0
2006 ER c ERW1 5 3 0
2006 ER c ERW1 5 3.5 0
2007 ER c ERW1 0 0 10
2007 ER c ERW1 0 0.5 0
2007 ER c ERW1 0 1 1
2007 ER c ERW1 0 1.5 0
2007 ER c ERW1 0 2 0
2007 ER c ERW1 0 2.5 0
2007 ER c ERW1 0 3 0
2007 ER c ERW1 0 3.5 0
2007 ER c ERW1 5 0 8
2007 ER c ERW1 5 0.5 7
2007 ER c ERW1 5 1 0
2007 ER c ERW1 5 1.5 0
2007 ER c ERW1 5 2 0
2007 ER c ERW1 5 2.5 0
2007 ER c ERW1 5 3 0
2007 ER c ERW1 5 3.5 0
2008 ER c ERW1 0 0 1
2008 ER c ERW1 0 0.5 0
2008 ER c ERW1 0 1 0
2008 ER c ERW1 0 1.5 0
2008 ER c ERW1 0 2 0
2008 ER c ERW1 0 2.5 0
2008 ER c ERW1 0 3 0
2008 ER c ERW1 0 3.5 0
2008 ER c ERW1 5 0 5
2008 ER c ERW1 5 0.5 4
2008 ER c ERW1 5 1 0
2008 ER c ERW1 5 1.5 0
2008 ER c ERW1 5 2 0
2008 ER c ERW1 5 2.5 0
2008 ER c ERW1 5 3 0
2008 ER c ERW1 5 3.5 0
2005 ER c ERW2 0 0 0
2005 ER c ERW2 0 0.5 0
2005 ER c ERW2 0 1 0
2005 ER c ERW2 0 1.5 0
2005 ER c ERW2 0 2 0
2005 ER c ERW2 0 2.5 0
2005 ER c ERW2 0 3 0
2005 ER c ERW2 0 3.5 0
2005 ER c ERW2 5 0 0
2005 ER c ERW2 5 0.5 0
2005 ER c ERW2 5 1 1
2005 ER c ERW2 5 1.5 4
2005 ER c ERW2 5 2 3
2005 ER c ERW2 5 2.5 3
2005 ER c ERW2 5 3 0
2005 ER c ERW2 5 3.5 0
2006 ER c ERW2 0 0 0
2006 ER c ERW2 0 0.5 0
2006 ER c ERW2 0 1 0
2006 ER c ERW2 0 1.5 0
2006 ER c ERW2 0 2 0
2006 ER c ERW2 0 2.5 0
2006 ER c ERW2 0 3 0
2006 ER c ERW2 0 3.5 0
2006 ER c ERW2 5 0 0
2006 ER c ERW2 5 0.5 0
2006 ER c ERW2 5 1 0
2006 ER c ERW2 5 1.5 8
2006 ER c ERW2 5 2 0
2006 ER c ERW2 5 2.5 0
2006 ER c ERW2 5 3 11
2006 ER c ERW2 5 3.5 0
2007 ER c ERW2 0 0 0
2007 ER c ERW2 0 0.5 0
2007 ER c ERW2 0 1 0
2007 ER c ERW2 0 1.5 0
2007 ER c ERW2 0 2 0
2007 ER c ERW2 0 2.5 0
2007 ER c ERW2 0 3 0
2007 ER c ERW2 0 3.5 0
2007 ER c ERW2 5 0 0
2007 ER c ERW2 5 0.5 3
2007 ER c ERW2 5 1 3
2007 ER c ERW2 5 1.5 23
2007 ER c ERW2 5 2 2
2007 ER c ERW2 5 2.5 0
2007 ER c ERW2 5 3 0
2007 ER c ERW2 5 3.5 0
2008 ER c ERW2 0 0 0
2008 ER c ERW2 0 0.5 0
2008 ER c ERW2 0 1 0
2008 ER c ERW2 0 1.5 0
2008 ER c ERW2 0 2 0
2008 ER c ERW2 0 2.5 0
2008 ER c ERW2 0 3 0
2008 ER c ERW2 0 3.5 0
2008 ER c ERW2 5 0 0
2008 ER c ERW2 5 0.5 0
2008 ER c ERW2 5 1 0
2008 ER c ERW2 5 1.5 0
2008 ER c ERW2 5 2 0
2008 ER c ERW2 5 2.5 0
2008 ER c ERW2 5 3 0
2008 ER c ERW2 5 3.5 0

Yes, your code works correctly.

On which variable to put in the cluster statement: you just need to
put the one that is 'higher' in rank between Treatment and Area.

Imagine you work for your home state Dept. of Education, and you are
studying something about school kids. You might start with a list of
all school districts and group them into either RURAL or URBAN and
take a sample from each. This rural/urban variable would be your
STRATA variable on proc surveymeans or any other surveyproc. Imagine
further that from the sampled school districts you take a sample of
schools, and from the sampled schools you take a sample of classes/
grades, and from the selected classes you take a sample of pupils.
Notice here that pupils are nested within classes, classse are nested
into schools, and schools are nested in school districts.

So which of these variables goes on the CLUSTER statement of the
surveymeans procedure?

Because school district is on top of the perch, it does.

Since you know your study better than I, you will then choose between
Treatment and Area to plug into the CLUSTER statement.

Good luck!