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Which dissimilarity index to use with categorical ecological data

Your scaling is like any class scale that are in common use. For instance, vegetation people in Germany use analogical Braun-Blanquet scale. You can use any dissimilarity index of your choice.
Jari Oksanen's user avatar
1 vote

Categorical data with expected frequencies in some categories lower than 5

Your expectation is that no one in your population of interest would choose the last three options, and instead would choose equally between the two first options. Obviously, this is not the case, as ...
J-J-J's user avatar
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2 votes

Which dissimilarity index to use with categorical ecological data

It looks like you have an ordinal variable. This is sometimes used for plant species but also some microorganisms. I'd first inform R that those columns are an ordinal factor: ...
Diogo B Provete's user avatar
3 votes
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My dataset includes multiple variable and all of these variables have sub-variables. How to visualise & test which segment is significant?

If you want to identify which issues and sub-issues tend to co-occur in your dataset, multiple correspondance analysis may be an adequate tool here, for exploratory purposes. Treating "No" ...
J-J-J's user avatar
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Interpreting Logistic Regression with categorical variable

You are correct that the estimate for Hab_ClassHerbaceous tells you that Hab_ClassHerbaceous is significantly different from your reference category. Estimates for other levels tell you how these ...
Sointu's user avatar
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