[BMp] Re: Interpreting ENFA results

 

Hi, Sarah

First, these negative or unrealistically high values in the matrix is usually due to correlation among variables. You should first check correlation among these five, and probably you'll have to exclude some.
I don't think that using as input the raw specie map (absence/ presence), or the weighted map makes any diference.

This broken-stick options pop-up because you need to define the number of factors you want to retain in your model, and the broken-stick is the default method to do this.

Why do you get this error message I don't know. It might be because the correlated EGVS, just a bug of the programm... or something else. I don't know. I guess somebody more experienced in Biomapper than I'm can give you more help. The option to compute the HS map greys up because, as the broken-stick has failed, you haven't defined the number of factors to be retained. Try other method, or manually input a number of factors, and let's see what happens.

Anyway, you can find the answer to all this questions in the programm's help file, in the FAQs or in other nice documents you can find either in the wiki or the main web page ;)

Cheers,

María

--- In Biomapper-List@yahoogroups.com, "blueo39" <blueo39@...> wrote:
>
> Dear Biomapperians
> Still finding my way around Biomapper and could do with some advice. I'm not sure if my data is giving me any real results. The issue is there is not much variability in the dataset and the EGVs have little variability. The species data extends across the area. I have weighted this with values of 1 and 2 as it is abundance data and higher number weighted matches a higher abundance. The global correlations matrix for the 5 EGVs remaining has some negative values and not sure if these are ok. When I go to Factor analysis>Automatic analysis -the broken stick option pops up. Leaving the boxes as default I compute this and the error message reads 'an error occurred. automatic process interrupted'
> What next? The option to compute HS map is grey-ed out? Any thoughts or ideas would be welcome.
> Thank you
> Sarah
>

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