degrees of freedom of factors in anovan

Hello,

I am trying to run two-way ANOVA for an unbalanced design. My factors are species and functional types. There are six species and two functional types. All species except one have the same sample size. I am using anovan function to do this but I am getting zero degrees of freedom (df) for functional types and four df for species. I can't figure out why this happens. I would greatly appreciate any help. Thanks!

My data are in A=[2.1 2.3 2.2 2.1 2.1 2.4 2.5 2 2.2 2.3 1.2 1.3 1.3 1.3 1.1 1 0.9 0.7 1 1.1 1 1.1 1.1 1 1 0.4 0.6 0.5 0.7 0.7 0.6 0.7 0.6 0.7 0.7 0.7 0.8 0.7];

and the group vector I am using is defined as group = {[1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 5 5 5 5 5 6 6 6 6 6 6 6 6 6 6 6 6 6];... {'d' 'd' 'd' 'd' 'd' 'd' 'd' 'd' 'd' 'd' ... 'c' 'c' 'c' 'c' 'c' 'c' 'c' 'c' 'c' 'c' ... 'c' 'c' 'c' 'c' 'c' 'c' 'c' 'c' 'c' 'c' ... 'c' 'c' 'c' 'c' 'c' 'c' 'c' 'c'}}; where the first row show the six species and the second row the functional types, coniferous and deciduous.

[Allison]

Same question. The df assignments in anovan don't make sense... seems very arbitrary

[Tom Hagley]

Also agreed here, I'm getting the same problem. Hopefully someone can shed some light?

[Scott MacKenzie]

Tom or Allison: Perhaps post your data and code, and in a new question. I've done several analyses using anovan, and can probably help sort this out.