# Plotting two-way interactions from mixed-effects models using ten or six bins

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Whereas the direction of main effects can be interpreted from the sign of the estimate, the interpretation of interaction effects often requires plots. This task is facilitated by the R package `sjPlot`

(Lüdecke, 2022). In Bernabeu (2022), the sjPlot function called `plot_model`

served as the basis for the creation of some custom functions. Two of these functions are `deciles_interaction_plot`

and `sextiles_interaction_plot`

. These functions allow the plotting of interactions between two continuous variables. In the case of `deciles_interaction_plot`

, one of the variables is divided into ten bins, known as deciles, and the other variable is unchanged. In the case of `sextiles_interaction_plot`

, one of the variables is divided into six bins, or sextiles, and the other variable is unchanged.

Below, we’ll use these functions with models fitted using `lmerTest`

(Kuznetsova et al., 2022), although the functions also work with several other models (see sjPlot manual). The plots can be reproduced using the materials at https://osf.io/gt5uf.

## Deciles interaction plot

### The function

#### See the resulting plot here.

## Sextiles interaction plot

### The function

#### See the resulting plot here.

### References

Bernabeu, P. (2022). *Language and sensorimotor simulation in conceptual processing: Multilevel analysis and statistical power*. Lancaster University. https://doi.org/10.17635/lancaster/thesis/1795

Kuznetsova, A., Brockhoff, P. B., & Christensen, R. H. B. (2022). *Package ’lmerTest’*. CRAN. https://cran.r-project.org/web/packages/lmerTest/lmerTest.pdf

Lüdecke, D. (2022). *Package ’sjPlot’*. CRAN. https://cran.r-project.org/web/packages/sjPlot/sjPlot.pdf

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