1/16/2024 0 Comments Asreml r fa1 plotTrait tells ASReml to hold a vector of results (rather than one overall mean -mu- we will have as many overall means as traits there are on the LHS. The left-hand side (LHS) of the model equation now has two variables: BD and CC. Parts 1 and 2 of the previous example are just the univariate runs that will provide starting values for the multivariate analysis. Residual id(units).us(Trait !INIT 645 1 0.32) Multiple traits one siteīD CC ~ Trait Trait.subrace Trait.rep !r,Ĭorgh(Trait !INIT 0.8 516 1.51).nrm(tree_ID) !f mv The next step will be to run two or more traits in one site. After enjoying the speed and flexibility of the program for the univariate case, you are probably thinking of moving to more complex analyses. By now, ASReml’s univariate notation should start making sense.
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