sim_ris: Simulate random intercept and slope data

In bgreenwell/bmisc: Miscellaneous R Functions

Description

Simulate data from a (balanced) random intercept and slope model.

Usage

sim_ris(m = 30, n = 10, mu = c(4.8, 3), sigma = c(1.3, 0.7, 0.7))

Arguments

m	Integer specifying the number of subjects.
n	Integer specifying the number of observations per subject.
mu	Numeric vector of length two giving the means of the random intercept and slope, respectively.
sigma	Numeric vector of length three giving the standard deviations of the random intercept, slope, and error term, respectively.

Examples

set.seed(101)  # for reproducibility
df <- sim_ris(m = 100, n = 15)

bgreenwell/bmisc documentation built on Sept. 24, 2019, 11:09 a.m.