tie_cicheck: Commodity position and confidence interval check for a...

In mytalbot/tiefightR: Calculate Preference Positions

Description

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.

Usage

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

mytalbot/tiefightR documentation built on July 16, 2020, 5:44 p.m.