# 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 1.12.0

- 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