kendall: Compute kendall's tau between two rankings
In strayMat/warpDE: Differentially expressed genes in cell lineages
Description
Usage
Arguments
Value
Description
Compares two rankingDE by computing their kendall's tau from package VGAM.
Usage
1
2
kendall(ranking1, ranking2, nmax = min(dim(ranking.df(ranking1))[1],
dim(ranking.df(ranking2))[1]))
Arguments
ranking1
a first rankingDE object.
ranking2
a second rankingDE object.
nmax
integer, design the last elemtns where to stop the comparison (default is the minimum length of the two rankings).
@details Kendall's tau is basically the number of permutation between the ranks of the elements of two rankings : tau = ((number of concordant pairs) - (number of discordant pairs))/N
Value
returns Kendall's tau.
strayMat/warpDE documentation built on June 1, 2019, 12:51 a.m.
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Description Usage Arguments Value
Description
Compares two rankingDE by computing their kendall's tau from package VGAM.
Usage
1 2 | kendall(ranking1, ranking2, nmax = min(dim(ranking.df(ranking1))[1],
dim(ranking.df(ranking2))[1]))
|
Arguments
ranking1 |
a first |
ranking2 |
a second |
nmax |
integer, design the last elemtns where to stop the comparison (default is the minimum length of the two rankings). @details Kendall's tau is basically the number of permutation between the ranks of the elements of two rankings : tau = ((number of concordant pairs) - (number of discordant pairs))/N |
Value
returns Kendall's tau.
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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