Hello,
I'm trying to analyse data from an incomplete design with four factor :
- fr : number of the batch
- op : ID of operator
- meth : method used
- mat : nature of the material used
and one variable
- mv : mesure
- trmv : transformed mesure
str(matvol)
`data.frame': 120 obs. of 6 variables:
$ fr : Factor w/ 30 levels
"1","2","3","4",..: 1 1 1 1 2 2 2 2 3 3
...
$ op : Factor w/ 3 levels "1","2","3": 3 3 3 3
1 1 1 1 2 2 ...
$ meth: Factor w/ 2 levels "1","2": 2 2 2 2 1 1 1 1 2 2
...
$ mat : Factor w/ 5 levels
"1","2","3","4",..: 1 5 2 4 2 1 3 5 2 1
...
$ mv : num 0.761 0.806 0.837 0.264 0.799 ...
$ trmv: num 2.12 2.23 2.31 1.08 2.21 ...
op, meth and mat are crossed and fr is nested in op*meth interaction. op
and fr are taken as random. For each batch, only 4 on the total 5 matrices
are mesured (oven constraint), and op and meth are constant.
I spent time trying every kind of aov models seeming sensible to me, read
the according chapters in MASS2 and still didn't succeed writing the
formula to obtain the results I expected (e.a. meth tested vs meth*op, mat
vs mat*op, etc.).
Can someone bring some light to my clouded mind ?
Thanks in advance,
Y. Brostaux
==================================================================== YVES
BROSTAUX - Ing?nieur agronome Orientation Eaux & For?ts
Assistant - Unit? de Statistique et Informatique
Gembloux Agricultural University
8, avenue de la Facult? B-5030 Gembloux (Belgium)
T?l: +32 (0)81 62 24 69
E-mail : brostaux.y at fsagx.ac.be
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