The bimeval will evaluate the worth values and will give an estimate on the error of uncertainty (consensus error (CE) in the unsimulated data.

bimeval(
  ydata = NULL,
  GT = NULL,
  simOpt = NULL,
  worth = NULL,
  coverage = 0.8,
  showPlot = FALSE,
  filtersim = FALSE,
  title = "Consensus Analysis",
  subtitle = NULL,
  ylim = c(0, 1)
)

Arguments

ydata

curated data.frame from the preprocessing function.

GT

item list with the ground truth (GT; letters are case sensitive!)

simOpt

item to be checked (this can be an item from the GT or a new

worth

the worth matrix from the bimworth function. Note, that this can be a list when the intransitivity is calculated!

coverage

the threshold for the ratio of tested subjects per total subjects (default=0.8)

showPlot

plot the worth plot as a bubble plot with consensus errors

filtersim

exclude the simulated items from the evaluation function (defaults to FALSE)

title

plot title (default: "Consensus Analysis")

subtitle

plot subtitle (if NULL, a default will be used)

ylim

y limits of the worth plot (default c(0,0.7))

Value

either a data.frame with the consensus errors and/or a plot object