| simulISR {Rankcluster} | R Documentation |
Simulate a sample of ISR(pi,mu)
Description
This function simulates univariate rankings data (ordering representation) according to the ISR(pi,mu).
Usage
simulISR(n, pi, mu)
Arguments
n |
size of the sample. |
pi |
dispersion parameter: probability of correct paired comparison according to mu. |
mu |
position parameter: modal ranking in ordering representation. |
Details
The ranking representation r=(r_1,...,r_m) contains the ranks assigned to the objects, and means that the ith object is in r_ith position.
The ordering representation o=(o_1,...,o_m) means that object o_i is in the ith position.
Let us consider the following example to illustrate both notations: a judge, which has to rank three holidays destinations according to its preferences, O1 = Countryside, O2 =Mountain and O3 = Sea, ranks first Sea, second Countryside, and last Mountain. The ordering result of the judge is o = (3, 1, 2) whereas the ranking result is r = (2, 3, 1).
You can see the convertRank function to convert the simulated ranking from ordering to ranking representation.
Value
a matrix with simulated ranks.
Author(s)
Julien Jacques
References
[1] C.Biernacki and J.Jacques (2013), A generative model for rank data based on sorting algorithm, Computational Statistics and Data Analysis, 58, 162-176.
Examples
x <- simulISR(30, 0.8, 1:4)