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

---

Documentation for package ‘ClusterSignificance’ version 1.37.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

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