Last chance! 50% off unlimited learning
Sale ends in
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.
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)
Returns modified Kendall's tau distance against a
for each list within b
A single top-k list
A vector of matrix form of top-k list(s) to be compared to the list a
Value of k
for rank.a
Value of k
for rank.b
Total number of objects, numbered from 1 to n
Distance added for tied pair (potential problem when p != 0
)
Jie Ding <jding@jimmy.harvard.edu>
There are two implementations available. Pure R code in kendall
and a faster implementation using native C code kendall.c
.
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.
Spearman
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)
Run the code above in your browser using DataLab