View source: R/ISRdistribution.R
probability | R Documentation |
It computes the probability of a (multivariate) rank x according to a ISR(mu, pi).
probability(x, mu, pi, m = length(mu))
x |
a vector or a matrix containing the rankings in ranking notation (see Details or convertRank function).
The rankings of each dimension are placed end to end. |
mu |
a vector of length |
pi |
a vector of size |
m |
a vector containing the size of ranks for each dimension. |
The ranks have to be given to the package in the ranking notation (see convertRank function), with the following convention:
- missing positions are replaced by 0
- tied are replaced by the lowest position they share"
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).
the probability of x
according to a ISR(mu, pi).
Quentin Grimonprez
m <- c(4, 5) x <- mu <- matrix(nrow = 1, ncol = 9) x[1:4] <- c(1, 4, 2, 3) x[5:9] <- c(3, 5, 2, 4, 1) mu[1:4] <- 1:4 mu[5:9] <- c(3, 5, 4, 2, 1) pi <- c(0.75, 0.82) prob <- probability(x, mu, pi, m) prob
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.