compare.cluster.dists: Compare all clusters for similar distribution
In ClairBee/AS.circular: ArchStats: circular functions
Description
Usage
Arguments
Value
Examples
Description
Divide an angular data set into subsets, then subdivide those into perpendicular quadrants and obtain sample statistics for each subset.
Usage
1
compare.cluster.dists(data, clusts, reps = 999, show.progress = F)
Arguments
data
Vector of raw angles (not quartered/wrapped angles).
clusts
Vector of indices denoting the cluster to which each angle has been assigned.
reps
Number of randomisation tests to apply
Value
A three-dimensional array containing p-values for tests of similar mean, concentration and distribution.
Examples
1
2
db <- dbscan(centres, eps = 2.5, MinPts = 4)$cluster
res <- compare.cluster.dists(q.4, db, reps = 99)
ClairBee/AS.circular documentation built on Jan. 24, 2020, 3:57 p.m.
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Description Usage Arguments Value Examples
Description
Divide an angular data set into subsets, then subdivide those into perpendicular quadrants and obtain sample statistics for each subset.
Usage
1 | compare.cluster.dists(data, clusts, reps = 999, show.progress = F)
|
Arguments
data |
Vector of raw angles (not quartered/wrapped angles). |
clusts |
Vector of indices denoting the cluster to which each angle has been assigned. |
reps |
Number of randomisation tests to apply |
Value
A three-dimensional array containing p-values for tests of similar mean, concentration and distribution.
Examples
1 2 | db <- dbscan(centres, eps = 2.5, MinPts = 4)$cluster
res <- compare.cluster.dists(q.4, db, reps = 99)
|
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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