Simulate normally distributed data with specific covariance structure and randomly sampled means. Adds response style contamination.
simpca(
nr.indv = rep(200, 5),
m = 10,
q = 7,
R = rcormat(m = m),
err.coeff = 0.1,
alphamat = rbind(c(0.5, 2, 4), c(10, 2, 10), c(1, 2, 1), c(4, 2, 0.5), c(0.1, 2,
0.1))[1:length(nr.indv), ],
randomize = FALSE
)Numeric vector of group sizes.
Integer; then number of variables to simulate.
Integer; the rating scale used 1:q.
List with entry named 'R' which is the simulated correlation matrix
Standard error for each variable, added unto R.
Matrix containing splines coefficients for te construction of respone styles.
logical; should the rows of the data be randomly permuted or not?