Plot Single Interaction Effect

Creates a scatter plot with regression lines showing the interaction between a predictor and outcome variable, moderated by either a continuous or categorical variable.

Usage

PlotInteractionEffectsContinuous(
  Data,
  interVar = NULL,
  outcomeVar = NULL,
  predictorVar = NULL,
  covars = NULL,
  n_lines = 3,
  alpha = 0.6,
  point_size = 2
)

Arguments

Data

A data frame containing the variables to be analyzed

interVar

Character string specifying the interaction variable (moderator)

outcomeVar

Character string specifying the outcome variable

predictorVar

Character string specifying the predictor variable

covars

Character vector of covariate names to include in the model

n_lines

For continuous moderators, number of lines to plot (default: 3 for low/med/high)

alpha

Transparency level for points (default: 0.6)

point_size

Size of points (default: 2)

Value

A ggplot object showing the interaction effect

Details

For categorical moderators, separate regression lines are plotted for each category. For continuous moderators, regression lines are plotted at the mean and ± 1 SD.

The subtitle shows the p-value for the interaction term. The caption lists any covariates included in the model.

Variable labels are used if available in the data frame.