Hello all,
I have run a redundancy analysis on Hellinger transformed species abundance
data and environmental variables.
Once I ran the RDA I proceeded to run a permutation on the resulting rda
overall and by "axis" and the outputs did not provide a legend of
significance codes.
Even if none of the axes were significant am I correct in assuming the
legend should still be listed in the results of the permutations?
Is this a glitch in Vegan 2.5-6 or could something be wrong with my
analysis?
*The following is the output of the anova.cca*
anova.cca(rda, by="axis")
'nperm' >= set of all permutations: complete enumeration.
Set of permutations < 'minperm'. Generating entire set.
Permutation test for rda under reduced model
Forward tests for axes
Permutation: free
Number of permutations: 119
Model: rda(formula = spe.hel ~ Conduct + DO + pH, data = Zscore_env_var)
Df Variance F Pr(>F)
RDA1 1 0.186195 41.4450 0.2333
RDA2 1 0.002051 0.4564 0.8833
Residual 2 0.008985
*Significance code legend should be listed here with asterisk's denoting
the p-values*
> anova.cca(rda)
'nperm' >= set of all permutations: complete enumeration.
Set of permutations < 'minperm'. Generating entire set.
Permutation test for rda under reduced model
Permutation: free
Number of permutations: 119
Model: rda(formula = spe.hel ~ Conduct + DO + pH, data = Zscore_env_var)
Df Variance F Pr(>F)
Model 3 0.188246 6.9836 0.225
Residual 1 0.008985
*Significance code legend should be listed here with asterisk's denoting
the p-values*
Thanks for your time!
Melissa
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