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knitr::opts_chunk$set( collapse = TRUE, comment = "#>" )
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) myRout <- ConQuestRout() plotRout(myRout)
You can plot an arbitrary information function against a distribution of students - a so called information Wright map.
myDeltaDots <- data.frame( id = c(1:10), itemid = paste0("item", 1:10), delta = rnorm(10) ) MyTaus <- data.frame( id = c(2L, 10L), itemId = NA, step = c(1L, 1L), tau = rnorm(2) ) myItemList <- makeItemList(deltaDot = myDeltaDots, tau = MyTaus) myPersons <- rnorm(500, 1, 1) informationWrightMap(myItems = myItemList, myAbilities = myPersons, minTheta = -6, maxTheta = 6)
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