Description Usage Arguments Examples
Plot histograms of observed response frequencies separately for each item. This is especially helpful to judge whether simulated data are reasonable (i.e., unimodal etc.).
1 2 |
X |
an N x J matrix of observed responses for categories 1...5 (use
|
revItem |
vector of length J specifying reversed items (1=reversed, 0=regular) |
traitItem |
vector of length J specifying the underlying traits (e.g., indexed from 1...5). Standard: only a single trait is measured by all items. If the Big5 are measured, might be something like c(1,1,1,2,2,2,...,5,5,5,5) |
points |
how many resposne categories in Likert scale |
... |
Additional arguments passed to |
1 2 3 4 5 6 7 8 | ## Not run:
N <- 20
J <- 10
betas <- cbind(rnorm(J, .5), rnorm(J, .5), rnorm(J, 1.5), rnorm(J, 0))
dat <- generate_irtree_ext(N = N, J = J, betas = betas, beta_ARS_extreme = .5)
plot_responses(dat$X, revItem = dat$revItem, traitItem = dat$traitItem)
## End(Not run)
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