Interpretation of emmeans table I have a question about emmeans

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*Variables are A = {a1, a2, a3}, B= {b1, b2}, C = {c1, c2}

*Model ~ A+B+C+A * B+A * C+C * B

*One of research questions: Is there an effect of C on a1, a2 und a3 (A)?

And I was doing an analysis with > emmeans (Model, ~C|A+B) cause I needed to do also with "pairs" (for contrast analysis)
Also emmeans is for "mean" and pairs is for "comparison of mean"
I can interpret and report values for pairs cause there are t-values and p-values ex. t(45) = 0.35, p = .003. The effect of C is significant
But I don't get it to interpret emmeans. How can I interpret this table and report the values? Could you please explain how I can do?


A comprehensive overview van be found here: https://cran.r-project.org/web/packages/emmeans/vignettes/interactions.html
Calling emmeans(Model, simple = "each") will give you a straightforward table with each  possible combination of your factors. Be careful in jumping in with calling complex contrast without first visualizing your results; you might overlook crucial interaction impacts, potentially rendering your interpretation invalid.
BTW, which package have you used for fitting the model? Typically, the notation e.g. A*B entails both main effect and interaction (A+B+A:B), so verify your model formulation.
