Create plots for GDINA estimates

Create various plots for GDINA estimates

# S3 method for GDINA
plot(
  x,
  what = "IRF",
  item = "all",
  withSE = FALSE,
  SE.type = 2,
  person = 1,
  att.names = NULL,
  ...
)

Arguments

x: model object of class GDINA
what: type of plot. Can be "IRF" for item/category response function plot, or "mp" for mastery probabilities for individuals.
item: A scalar or vector specifying the item(s) for IRF plots.
withSE: logical; Add error bar (estimate - SE, estimate + SE) to the IRF plots?
SE.type: How is SE estimated. By default, it's based on OPG using incomplete information.
person: A scalar or vector specifying the number of individuals for mastery plots.
att.names: Optional; a vector for attribute names.
...: additional arguments

Examples

if (FALSE) {
dat <- sim10GDINA$simdat
Q <- sim10GDINA$simQ
mod1 <- GDINA(dat = dat, Q = Q, model = "GDINA")
#plot item response functions for item 10
plot(mod1, item = 10)
plot(mod1, what = "IRF", item = 10,withSE = TRUE)

# plot mastery probabilities for individuals 4 and 10
plot(mod1, what = "mp", person = c(4,10))
plot(mod1, what = "mp", person = c(4,10,15),
att.names = c("addition","subtraction","multiplication"))
}

Arguments

See also

Examples