compare.clusters: Compare subsets of data against others
In ClairBee/AS.circular: ArchStats: circular functions
Description
Usage
Arguments
Value
Examples
Description
Divide an angular data set into subsets and compare the characteristics of each subset against the remaining angles, to test whether they might plausibly share the same distribution.
Usage
1
compare.clusters(data, clusts, include.noise = F, reps = 999)
Arguments
data
Vector of angles.
clusts
Vector of indices denoting the cluster to which each angle has been assigned.
include.noise
Boolean indicator: should cluster 0 (noise cluster) be included in the output?
Value
A matrix containing the size of the subset tested; the Rayleigh test score (rayleigh.test); Watson mean test score (watson.common.mean.test); Wallraff concentration test score (wallraff.concentration.test);
Mardia-Watson-Wheeler large-sample test of common distribution (mww.common.dist.LS); and randomised Watson two-sample test of common distribution (same.dist.watson.rand).
Examples
1
c.res <- compare.clusters(q, dbscan(centres, eps = 2.5, MinPts = 4)$cluster)
ClairBee/AS.circular documentation built on Jan. 24, 2020, 3:57 p.m.
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Description Usage Arguments Value Examples
Description
Divide an angular data set into subsets and compare the characteristics of each subset against the remaining angles, to test whether they might plausibly share the same distribution.
Usage
1 | compare.clusters(data, clusts, include.noise = F, reps = 999)
|
Arguments
data |
Vector of angles. |
clusts |
Vector of indices denoting the cluster to which each angle has been assigned. |
include.noise |
Boolean indicator: should cluster 0 (noise cluster) be included in the output? |
Value
A matrix containing the size of the subset tested; the Rayleigh test score (rayleigh.test); Watson mean test score (watson.common.mean.test); Wallraff concentration test score (wallraff.concentration.test);
Mardia-Watson-Wheeler large-sample test of common distribution (mww.common.dist.LS); and randomised Watson two-sample test of common distribution (same.dist.watson.rand).
Examples
1 | c.res <- compare.clusters(q, dbscan(centres, eps = 2.5, MinPts = 4)$cluster)
|
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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