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Custom functions that extend sjPlot to discretise continuous variables in interaction plots into equally-sized intervals (deciles or sextiles) that include minimum and maximum values, with legend counts showing sample sizes per level.
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Custom function that extends sjPlot to display original categorical variable values in interaction plot legends instead of transformed values, facilitating clearer communication when using sum-coded or other transformed predictors.
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Custom function extending sjPlot that plots interactions between continuous and categorical variables while replacing categorical variables with alias variables to facilitate back-transformation of sum-coded predictors for clearer result communication.
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Custom functions extending sjPlot for plotting interactions between two continuous variables by dividing one into ten bins (deciles) or six bins (sextiles), with optional sample size display in legend for individual differences research.