DistanceDistribution: Calculate the Kendall distance distribution in 'N!' space
In YunlongJiao/kernrank: Kernel Methods for Rank Data
Description
Usage
Arguments
Value
Note
Author(s)
Examples
Description
This function counts the number of fully-ordered vectors at each distance in
N! space.
Usage
1
DistanceDistribution(N = 3)
Arguments
N
Integer value, greater than or equal to 3.
Value
Table-like structure, where the names represent the distance from
the modal sequence of each sequence in N! space,
and the values represent the number of sequences at that distance in the sequence space.
Note
Taken directly from R CRAN package RMallow.
Author(s)
Erik Gregory
Examples
1
2
3
4
5
## Not run:
# DistanceDistribution(10)
## End(Not run)
YunlongJiao/kernrank documentation built on May 10, 2019, 1:13 a.m.
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Description Usage Arguments Value Note Author(s) Examples
Description
This function counts the number of fully-ordered vectors at each distance in
N! space.
Usage
1 | DistanceDistribution(N = 3)
|
Arguments
N |
Integer value, greater than or equal to 3. |
Value
Table-like structure, where the names represent the distance from
the modal sequence of each sequence in N! space,
and the values represent the number of sequences at that distance in the sequence space.
Note
Taken directly from R CRAN package RMallow.
Author(s)
Erik Gregory
Examples
1 2 3 4 5 | ## Not run:
# DistanceDistribution(10)
## End(Not run)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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