..to be save I would consider to exclude an effect due to different
multivariate spread. See chapter 5.2, Homogeneity of groups and beta
diversity, in the vegan tutorial at
http://cc.oulu.fi/~jarioksa/opetus/metodi/vegantutor.pdf.
best,
kay
Zitat von Gavin Simpson <[email protected]>:
On Wed, 2011-11-16 at 03:43 +0100, Gian Maria Niccolò Benucci wrote:
Hi all,
I had 84 samples collected in 7 different sites.
In each sample were individuated the different fungal species and recorded.
I would test if exist a real difference between the sites and if exist a
sort of site effect that structure the fungal communities...
Then, I did adonis test
> adonis(community.sq ~ location, data=env.table, permutations=999)
Call:
adonis(formula = community.sq ~ location, data = env.table, permutations =
999)
Df SumsOfSqs MeanSqs F.Model R2 Pr(>F)
location 6 12.593 2.09886 6.8867 0.34922 0.001 ***
Residuals 77 23.467 0.30477 0.65078
Total 83 36.060 1.00000
---
Signif. codes: 0 *** 0.001 ** 0.01 * 0.05 . 0.1 1
The significance is R2=0.349 at P=0.001
Can I assure that exist a strong site effect in structuring the communities
in each site?
Depends. The test is one of no effect of `location`. You have found
evidence against this hypothesis and thus could reject this hypothesis,
instead accepting the alternative hypothesis that there is an effect of
`location`. As to the strength of this effect? ~35% of the sums of
squares can be explained by `location`. Substantially more of the
variance remains unexplained. As I know nothing about your subject area,
I am unable to comment further on the strength of the relationship.
Seeing as many ecologists whose work I read would say an effect is
significant if the p-value was >= 0.05. Not that I subscribe to this way
or working, but by that criterion, you have identified a significant
`location` effect.
HTH
G
Thanks for helping,
G.
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