test_tilted_slopes: significance of regression slope (the marginal effect) under...

In regrrr: Toolkit for Compiling, (Post-Hoc) Testing, and Plotting Regression Results

Description

significance of regression slope (the marginal effect) under moderation testing restriction: the sig. of beta_x under the moderation of z1, with or without additional interaction terms (z2, z3, etc.)

Usage

test_tilted_slopes(
  reg.coef,
  v = NULL,
  model,
  x_var.name,
  moderator.name,
  mod.n.sd = 1,
  data,
  t.value.col = 3,
  Pr.col = 4
)

Arguments

reg.coef	a data.frame (or matrix) of regression result or a coeftest object, e.g. summary(lm_model)$coef, coeftest(lm_model, cluster.vcov(lm_model, cbind(data$group1, data$group2)))
v	a customized variance-covariance matrix
model	the model object, such as a "lm" object
x_var.name	main independent variable name in model, a string
moderator.name	moderator name in model, a string
mod.n.sd	specify the strength of the moderating effects, in the unit of s.d.s of the moderator, which can take negative values
data	data used for regression
t.value.col	col number of the t-score in reg.coef
Pr.col	col number of the Prob.(>|t|)) in reg.coef

Examples

data(mtcars)
m1 <- lm(mpg ~ vs + carb + hp + wt + wt * hp , data = mtcars)
test_tilted_slopes(reg.coef = summary(m1)$coef, model = m1, 
                   x_var.name = "wt", moderator.name = "hp", data = mtcars)

regrrr documentation built on Aug. 13, 2021, 5:07 p.m.