datsim {cds} | R Documentation |
Simulate data containing a single repsponse style.
datsim(nr.indv = 100, m = 5, scales = 1:7, err.coeff = 0.1, resp.style = c(-Inf, 1/7, 2/7, 3/7, 4/7, 5/7, 6/7, Inf), true.mu = NULL, a = 0, b = 1, plot.graph = FALSE, use.copula = FALSE, reverse.thresh = 1, ...)
nr.indv |
Integer giving the number of individuals required in the sample. |
m |
The number of items. |
scales |
The rating scale used for all items. |
err.coeff |
The standard error used in simulating the truncated normal distribution. |
resp.style |
A set of cut points across the interval [0, 1] defining the response style transformation. |
true.mu |
Optional vector of length |
a |
Lower boundary of the truncation interval for the simulated true preferences. |
b |
Upper boundary for the truncation interval for the simulated true preferences. |
plot.graph |
Logical indicating whether to visualize the response style in a plot. |
use.copula |
Logical indicating whether to simulate dependent items using a copula. |
reverse.thresh |
A proportion giving the proportion of item preferences which should be reversed to induce a negative association. |
... |
Additional arguments passed to |
Pieter C. Schoonees
Schoonees, P.C., Velden, M. van de & Groenen, P.J.F. (2013). Constrained Dual Scaling for Detecting Response Styles in Categorical Data. (EI report series EI 2013-10). Rotterdam: Econometric Institute.