Simulate response data for a group of response styles.
cds.sim(
nr.indv = c(100, 100, 100),
m = 25,
scales = 1:7,
err.coeff = 0.1,
alphamat = rbind(c(4, 4, 1), c(1, 4, 4), c(1, 2, 1)),
true.mu = NULL,
random = TRUE,
same.mu = TRUE,
use.copula = FALSE,
reverse.thresh = 1
)An object of class cdsdata, inheriting from class icdsdata, which is a
list with the following slots:
The pre-response style simulated data
The data after adding the response styles
The same as postrs in this case
The centred Fr matrix for postrs
The Fr matrix for postrs
The same as Fr.cent.rs, for compatibility with icds
The same as Fr.rs, for compatibility with icds
Matrix of the true underlying preference structure for the obects
Numeric vector identifying the different blocks for incompleteness, in this case a vector of ones
The response style grouping vector
Matrix of spline parameters for the response styles
The rating scale 1:q used
Number of objects
The number of objects seen within each block - equal to zero in this case
The number of objects seen by all subjects - equal to m in this case
Actual tau used in the simulation with copulae
The function call
A vector giving the number of respondents in each group.
The number of objects.
The rating scale used, 1:q.
The standard error used in the underlying normal noise.
The matrix of spline parameters defining the response styles, with each row containing a response style. No intercepts should be included.
Optional; a matrix or vector giving the true underlying preferences for the objects.
Logical indicating whether to apply the response styles in random order
Logical indicating whether a universal value for mu should be assumed.
Logical indicating whether to use a correlated dependence structure through a copula.
A numeric value giving the proportion of observations for which the
dependece structure should be reversed. Only applicable when copula is TRUE.
createcdsdata