simple_slope: Slope Estimate at Varying Level of Moderators
In psycModel: Integrated Toolkit for Psychological Analysis and Modeling in R

simple_slope

R Documentation

Slope Estimate at Varying Level of Moderators

Description

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

Usage

simple_slope(model, data = NULL)

Arguments

`model`	model object from `lm`, `lme`,`lmer`
`data`	`data.frame`

Value

a list with the slope estimate data frame and a Johnson-Newman plot.

Examples

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,
)

psycModel documentation built on Nov. 2, 2023, 6:02 p.m.