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I am comparing shorebird populations and need to determine if they are statistically different across two beaches. I ran a Kruskal Wallis test on another set of data and got good p values but since my data for the birds is very low? I don't know how to find the data I need or if I'm even doing the right thing. I'd appreciate any help.

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kjetil b halvorsen
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    Images are not a good way for posting data (or code). See [this Meta](https://meta.stackoverflow.com/a/285557/8245406) and a [relevant xkcd](https://xkcd.com/2116/). Can you post sample data in `dput` format? Please edit **the question** with the code you've tried and with the output of `dput(df)`. Or, if it is too big with the output of `dput(head(df, 20))`. (Note: `df` is the name of your dataset, above is R code.) – Rui Barradas Dec 11 '21 at 07:26

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The values of bird counts by species and beach* are a simple contingency table, for which several tests can be applied. The classic is the chi-square test of independence. See this thread and this thread as entries into further discussion on this site about contingency table analysis.

In your situation, with 3 species out of 6 specific to one beach and 2 to the other, it won't matter much what test you use despite the low values of some of the counts.

*The other columns in the table are the total numbers of birds and the total numbers of observed species for the 2 beaches.

EdM
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