conquestr has two main types of plots. The first is plots based on
the plot
command in ACER
ConQuest. These plots are done using the generic function
conquestr::plotRout
The second is more general plots,
usually of the inputs or outputs of IRT estimate.
library(conquestr)
<- ConQuestRout()
myRout #> no rout file provided, loading the example rout file instead
plotRout(myRout)
You can plot an arbitrary information function against a distribution of students - a so called information Wright map.
<- data.frame(
myDeltaDots id = c(1:10),
itemid = paste0("item", 1:10),
delta = rnorm(10)
)
<- data.frame(
MyTaus id = c(2L, 10L),
itemId = NA,
step = c(1L, 1L),
tau = rnorm(2)
)
<- makeItemList(deltaDot = myDeltaDots, tau = MyTaus)
myItemList
<- rnorm(500, 1, 1)
myPersons informationWrightMap(myItems = myItemList, myAbilities = myPersons, minTheta = -6, maxTheta = 6)