Commodity position and confidence interval check for a discrete number of randomizations

Source: R/tie_cicheck.R

The tie_cicheck is a wrapper for checking the confidence intervals for data with ties. The function calculates the worth values for a specific number of randomizations and reports the confidence intervals for the commodity means.

tie_cicheck(
  data = tiefightR::mouse,
  R = NULL,
  ciLvl = 0.95,
  seed = TRUE,
  RF = NULL,
  CF = NULL,
  id = NULL,
  RV = NULL,
  ord = NULL,
  prefLimit = 50,
  compstudy = NULL,
  default = NULL,
  showplot = TRUE,
  showstats = FALSE,
  ylim = c(0.1, 0.35)
)

Arguments

R

number of maximum randomization steps
ciLvl

Level of confidence (default: 0.95)
seed

TRUE/FALSE for constant seeding
RF

name of the reference fluid variable
CF

name of the combination fluid variable
id

subject IDs
RV

name of the response variable
ord

item category order
prefLimit

preference limit for binarization threshold
compstudy

label of the compiled sub study (used for filtering)
default

default item in worth value estimation (usually the lowest worth value)
showplot

show the errorplot with confidence intervals
showstats

calculate ANOVA1 and Tukey's test for the commodities
dat

imported raw data (should be binary, if not, will be binarized automatically)

Value

Exports random binarize response for distance cutoff selection