Create plots for GDINA estimates
Create various plots for GDINA estimates
## S3 method for class 'GDINA' plot( x, what = "IRF", item = "all", withSE = FALSE, SE.type = 2, person = 1, att.names = NULL, ... )
x |
model object of class |
what |
type of plot. Can be |
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 |
## Not run:
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"))
## End(Not run)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.