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