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conquestr has two main types of plotting functions:
plot
command in ACER
ConQuest. These plots are created using the generic function
conquestr::plotRout
. rout files are read in using
the function conquestr::ConQuestRout
.This generic function, plotRout, will dispatch to specific methods depending on the class of the rout file. For example, in ConQuest if an ICC rout file is created, then when you call plotRout, the method plotRout.ICC will be called and an ICC will be returned.
library(conquestr)
myRout <- ConQuestRout()
#> no rout file provided, loading the example rout file instead
myPlot <- plotRout(myRout)
myPlot
It is also to manually edit the returned object to do your own styling.
TODO here, add example of history plots. Especially with plot problems.
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)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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