boot_samples: Draw bootstrap samples

In robmed: (Robust) Mediation Analysis

Draw bootstrap samples

Description

Draw bootstrap samples to be used for (fast-and-robust) bootstrap tests for mediation analysis. Note that this function is intended for use in simulation studies by experienced users.

Usage

boot_samples(n, R)

Arguments

n	an integer giving the number of observations in the original data set.
R	an integer giving the number of bootstrap samples to be generated.

Value

An object of class "boot_samples" with the following components:

indices	an integer matrix in which each column contains the indices of the corresponding bootstrap sample.
seed	the state of the random number generator before the bootstrap samples were drawn

Author(s)

Andreas Alfons

See Also

test_mediation()

Examples

# control parameters
n <- 100
a <- b <- c <- 0.4

# generate data
set.seed(20200309)
x <- rnorm(n)
m <- a * x + rnorm(n)
y <- b * m + c * x + rnorm(n)
simulated_data <- data.frame(x, y, m)

# perform boostrap tests
indices <- boot_samples(n, R = 5000)
robust_boot <- test_mediation(simulated_data,
                              x = "x", y = "y", m = "m",
                              robust = TRUE,
                              indices = indices)
summary(robust_boot)
ols_boot <- test_mediation(simulated_data,
                           x = "x", y = "y", m = "m",
                           robust = FALSE,
                           indices = indices)
summary(ols_boot)

robmed documentation built on July 9, 2023, 6:29 p.m.