macc (version 1.0.1)

env.single: Simulated single-level dataset

Description

"env.single" is an R environment containing a data frame of data generated from 100 trials, the true coefficients and the coavariance matrix of the model errors.

Usage

data("env.single")

Format

An R environment.

data1

a data frame with Z the treatment assignment, M the mediator and R the interested outcome.

Theta

a 2 by 2 matrix, which is the coefficients of the model.

Sigma

a 2 by 2 matrix, which is the covariance matrix of the model errors.

Details

The number of subjects is 100. The coefficients are set to be \(A = 0.5\), \(C = 0.5\) and \(B = -1\). The variances of the model errors are \(\sigma_1^2 = 1\), \(\sigma_2^2 = 4\) and the correlation is \(\delta = 0.5\). See Section 5.1 of the reference.

References

Zhao, Y., & Luo, X. (2014). Estimating Mediation Effects under Correlated Errors with an Application to fMRI. arXiv preprint arXiv:1410.7217.

Examples

# NOT RUN {
data(env.single)
dt<-get("data1",env.single)
# }