simple_slope | R Documentation |
The function uses the interaction::sim_slopes()
to calculate the slope estimate at varying level of moderators (+/- 1 SD and mean).
Additionally, it will produce a Johnson-Newman plot that shows when the slope estimate is not significant
simple_slope(model, data = NULL)
model |
model object from |
data |
|
a list with the slope estimate data frame and a Johnson-Newman plot.
fit <- lm_model(
data = iris,
response_variable = Sepal.Length,
predictor_variable = dplyr::everything(),
three_way_interaction_factor = c(Sepal.Width, Petal.Width, Petal.Length)
)
simple_slope_fit <- simple_slope(
model = fit,
)
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