Dear folks
Thanks for your time.
I am trying to figure out the correct code in R to a repeated measure
analysis on unequal numbers of observations with 1 trait measured on 2
occasions. 417 plants were assessed in year 2 and 590 plants were
assessed in year 2. 81 plants were assessed in both years. We are trying
to build a var-cov matrix at both G and R, with a relationship matrix at
G (about 15 parents used in crossing scheme).
The data is listed in long format and sorted by Year, i.e.
Year 1 data
Year 2 data
I am wondering, is it possible to specify a multivariate rcov matrix
without having to put dummy records in for both traits to balance the
data set?
When I use
rcov=~diag(year):units
or
rcov=~diag(year):ide(Ind)
I get errors from ASreml expecting balanced data set
Ta
Dr Craig Hardner
Research Fellow
School of Land, Crop and Food Sciences
University of Queensland
St Lucia 4072 Queensland, Australia
ph: +61 7 3346 9465
email: craig.hardner_at_uq.edu.au
Received on Thu Sep 23 2009 - 09:13:09 EST
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