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The models are:

Model1 = lmer(V1 ~ V2 * V3 + V4 + (1|V5), data=data)

Model2 = lmer(V1 ~ V2 + V3 + V4 + (1|V5), data=data)

V1: numerical V2: numerical V3: factor with two levels V4: factor with two levels V5: Random variable

I want to generate a dispersion graph with V1 on the Y ax and V3 on the X ax, with two curves for the two levels of V4. I tried the function coef(), but I don't know the values I should use:

Model1 (Intercept) V2 V3 V4 V2:V3

Model2 (Intercept) V2 V3 V4

Thanks!

neilfws
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Carolina Caetano
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    I'm not sure I understand what you want to do with V2 which can vary. Do you want to fix is at some value? 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. What exactly determines what you "should" use? – MrFlick Jan 14 '21 at 00:08
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    Perhaps sjPlot would be useful, in particular [plot_model()](https://strengejacke.github.io/sjPlot/reference/plot_model.html) – neilfws Jan 14 '21 at 00:16

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