The ClusterSignificance package provides tools to assess if class clusters in dimensionality reduced data representations have a separation different from permuted data

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Documentation for package ‘ClusterSignificance’ version 1.8.2

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ClusterSignificance-package The ClusterSignificance package provides tools to assess if clusters have a separation different from random or permuted data.
.ClassifiedPoints Classification of the one dimensional points in a Pcp or Mlp object.
.Mlp Projection of points into one dimension.
.Pcp Projection of points into one dimension.
.PermutationResults Permutation test
c-method Permutation test
ClassifiedPoints Classification of the one dimensional points in a Pcp or Mlp object.
ClassifiedPoints-class Classification of the one dimensional points in a Pcp or Mlp object.
classify Classification of the one dimensional points in a Pcp or Mlp object.
classify-method Classification of the one dimensional points in a Pcp or Mlp object.
ClusterSignificance The ClusterSignificance package provides tools to assess if clusters have a separation different from random or permuted data.
conf.int Permutation test
conf.int-method Permutation test
getData Projection of points into one dimension.
getData-method Classification of the one dimensional points in a Pcp or Mlp object.
getData-method Projection of points into one dimension.
getData-method Projection of points into one dimension.
getData-method Permutation test
initialize-method Classification of the one dimensional points in a Pcp or Mlp object.
initialize-method Projection of points into one dimension.
initialize-method Projection of points into one dimension.
initialize-method Permutation test
Mlp Projection of points into one dimension.
mlp Projection of points into one dimension.
Mlp-class Projection of points into one dimension.
mlp-method Projection of points into one dimension.
mlpMatrix Simulated data used to demonstrate the Mlp method.
Pcp Projection of points into one dimension.
pcp Projection of points into one dimension.
Pcp-class Projection of points into one dimension.
pcp-method Projection of points into one dimension.
pcpMatrix Simulated data used to demonstrate the Pcp method.
PermutationResults-class Permutation test
permute Permutation test
permute-method Permutation test
plot-method Classification of the one dimensional points in a Pcp or Mlp object.
plot-method Projection of points into one dimension.
plot-method Projection of points into one dimension.
plot-method Permutation test
pvalue Permutation test
pvalue-method Permutation test
show-method Classification of the one dimensional points in a Pcp or Mlp object.
show-method Projection of points into one dimension.
show-method Projection of points into one dimension.
show-method Permutation test