MSclust.summ: Summarise clusters from a mean-shift clustering
In ClairBee/AS.circular: ArchStats: circular functions
Description
Usage
Arguments
Value
Examples
Description
Uses hierarchical clustering algorithm to extract mean, mean resultant length, and estimated kappa for each cluster.
Usage
1
MSclust.summ(clusts, minPts = 5)
Arguments
clusts
Vector or matrix of clustered values, as produced by MSclust.NB.
Value
List containing a vector of cluster numbers and a matrix containing estimated mu, rho and kappa for each cluster.
Examples
1
2
3
4
5
ex1 <- c(rvonmises(120 * 0.3, mu = circular(pi/2), kappa = 10),
rvonmises(120 * 0.7, mu = circular(pi), kappa = 3))
p <- MSclust.p.est(ex1, dp = 4)
nb <- MSclust.NB(ex1, p = 7, conv.lim = 0.000001)
res <- MSclust.summ(nb)
ClairBee/AS.circular documentation built on Jan. 24, 2020, 3:57 p.m.
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Description Usage Arguments Value Examples
Description
Uses hierarchical clustering algorithm to extract mean, mean resultant length, and estimated kappa for each cluster.
Usage
1 | MSclust.summ(clusts, minPts = 5)
|
Arguments
clusts |
Vector or matrix of clustered values, as produced by |
Value
List containing a vector of cluster numbers and a matrix containing estimated mu, rho and kappa for each cluster.
Examples
1 2 3 4 5 | ex1 <- c(rvonmises(120 * 0.3, mu = circular(pi/2), kappa = 10),
rvonmises(120 * 0.7, mu = circular(pi), kappa = 3))
p <- MSclust.p.est(ex1, dp = 4)
nb <- MSclust.NB(ex1, p = 7, conv.lim = 0.000001)
res <- MSclust.summ(nb)
|
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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