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I am trying to analyse binomial winner/loser data i.e. zeros and ones, I've used the following script:

ft.Model = glmer(winner ~ pairing + complex + pairing:complex + (1|pairID), family = "binomial", data = intra)

anova(ft.Model, test = "Chisq")

However, when I run this the following warning message appears:

In anova.merMod(ft.Model, test = "Chisq") :
  additional arguments ignored: ‘test’

but it does also give results that look like this:

Analysis of Variance Table
                npar  Sum Sq Mean Sq F value
pairing            1 0.47827 0.47827  0.4783
complex            1 0.57937 0.57937  0.5794
pairing:complex    1 0.00000 0.00000  0.0000

so all zeros for the interaction term, which is really strange.

Can anyone tell me the reason for the error message and why this might be happening and an alternative solution. Thanks in advance.

MrFlick
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Sarah O'Hea Miller
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    It's easier to help you if you include a simple [reproducible example](https://stackoverflow.com/questions/5963269/how-to-make-a-great-r-reproducible-example) with sample input and desired output that can be used to test and verify possible solutions. Be sure to explicitly list any non-base R packages you are using. – MrFlick Nov 30 '20 at 00:43
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    There is not argument `test` for this function. See `?anova.merMod` for the help page. – Suren Nov 30 '20 at 01:32

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