Uninformed positioning and cutoff determination

Source: R/bimUninformed.R

The bimUninformed estimates reasonable randomization cutoffs for simOption items. The cutoff is determined by monitoring the adjusted p-value development in post-hoc ANOVA tests. The optimal cutoff is reached when the adjusted p-values show no overlap, or zero deviation in the plot.

bimUninformed(
  ydata = NULL,
  GT = NULL,
  simOpt = NULL,
  limitToRun = 5,
  seed = TRUE,
  showPlot = TRUE,
  ylim = c(-0.5, 1.5)
)

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 one. Remove the item from GT if specified here!)
limitToRun

limit to this number of repetitions for the randomizations (default 5, you'll probably need more)
seed

use constant seeding for stable plot results (default=TRUE)
showPlot

show stability plot
ylim

y-limits of the output plot (default c(-0.5,1.5))

Value

list with the randomized worth values (W), the result of the posthoc tests (posthocs), the cutoff values (cutoffs) and the conditional plot output (p).