tie_sim: Tie Simulation Function

In mytalbot/tiefightR: Calculate Preference Positions

Description

The tie_sim function starts a simulation of item pairings and introduces random pairs for the remaining combinations. In parallel, the intransitivity of triple pairings can be calculated to estimate their position quality. Good transitiviy and massed localization in a position will improve the Likelihood of a good fit for the item.

Usage

tie_sim(
  xdata = NULL,
  R = 2,
  RF = "img1",
  CF = "img2",
  id = "ID",
  RV = "pref_img1",
  intrans = TRUE,
  compstudy = "LagreValenceRange_SpringSchool",
  default = "War",
  cpus = 2,
  ord = NULL,
  v1 = NULL
)

Arguments

xdata	imported (binarized) data frame
R	No. of randomization steps
RF	name of the reference fluid variable
CF	name of the combination fluid variable
id	subject IDs
RV	name of the response variable
intrans	calculate intransitivities (calculation intense!)
compstudy	label of the compiled sub study (used for filtering)
default	default item in worth value estimation (usually the lowest worth value)
cpus	No. of used local CPUs for parallel computing (you should have more than 2)
ord	item category order
v1	testing variable (can be one item from the item list)

Value

data.frame with the simulation results

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