Kendall2Lists {TopKLists} | R Documentation |
Calculate modified Kendall's tau distance
Description
Kendall's tau is equal to the number of adjunct pairwise exchanges required to convert one ranking into another. This modified version allows for partial lists to be compared.
Usage
Kendall2Lists(rank.a, rank.b, k.a, k.b, n, p = 0)
Kendall2Lists.c(rank.a, rank.b, k.a, k.b, n, p = 0)
Arguments
rank.a |
A single top-k list |
rank.b |
A vector of matrix form of top-k list(s) to be compared to the list |
k.a |
Value of |
k.b |
Value of |
n |
Total number of objects, numbered from 1 to n |
p |
Distance added for tied pair (potential problem when |
Details
There are two implementations available. Pure R code in kendall
and a faster implementation using native C code kendall.c
.
Value
Returns modified Kendall's tau distance against a
for each list within b
Author(s)
Jie Ding <jding@jimmy.harvard.edu>
References
Lin, S., Ding, J. (2009) Integration of ranked lists via Cross Entropy Monte Carlo with applications to mRNA and microRNA studies. Biometrics 65, 9-18.
See Also
Examples
set.seed(1234)
a <- sample(1:10, 10)
b <- sample(1:10, 10)
Kendall2Lists(a, b, 6, 6, 10)
Kendall2Lists.c(a, b, 6, 6, 10)