simpca {cds} | R Documentation |
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)
nr.indv |
Numeric vector of group sizes. |
m |
Integer; then number of variables to simulate. |
q |
Integer; the rating scale used |
R |
List with entry named 'R' which is the simulated correlation matrix |
err.coeff |
Standard error for each variable, added unto |
alphamat |
Matrix containing splines coefficients for te construction of respone styles. |
randomize |
logical; should the rows of the data be randomly permuted or not? |