Hello, all,

I have a fairly complicated experimental design and would really appreciate 
some help on correctly specifying my random effects.  I have a CRD split plot 
design with one covariate measured on the whole plot unit, one on the subplot 
unit and  2 other covariates measured on the subsamples in the subplot unit.  
My design is actually unbalanced, but if it *were* balanced, I would have 7 REP 
(replicates) each of 3 treatments (TRTMNT1 = whole plot unit are forest 
stands), each split into 5 TRTMNT2 (subplot units are 25x25m plots), in which 3 
to 7 TREES were measured (subsampling units).  In addition, I have 1 continuous 
covariate (ELEV = elevation) measured on the whole plot units (i.e. all 
measurements in each REP have the same measure of ELEV), 1 continuous covariate 
measured on the subplot unit (DENSITY of all trees in the subplot unit, so all 
trees in the subplot have the same measure of density, but each subplot within 
a whole plot has a different measure) and 2 continuous co!
 variates (HEIGHT and DBH) measured on the subsampling units (trees).  

I do not understand the syntax of the lme random effects to properly describe 
my structure to make sure that the test of the effect of my covariates, ELEV 
measured on the whole plot unit and effect of DENSITY measured on the subplot 
unit, are correctly specified, with correct df in numerator and denominator, 
etc. 

What is the syntax for this random effects structure?  How do I indicate that 
ELEV is measured on the whole plot level, DENSITY on the subplot and HEIGHT and 
DBH on the tree level?

I have read in Pinheiro and Bates about the outer factors, but am not sure how 
to apply it here.  I would greatly appreciate it if some someone could suggest 
the correct syntax for the lme random = and also syntax to make my data into a 
groupedData object.

Many thanks in advance,

Manuela 

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