# anocva v0.1.1

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## A Non-Parametric Statistical Test to Compare Clustering Structures

Provides ANOCVA (ANalysis Of Cluster VAriability), a non-parametric statistical test to compare clustering structures with applications in functional magnetic resonance imaging data (fMRI). The ANOCVA allows us to compare the clustering structure of multiple groups simultaneously and also to identify features that contribute to the differential clustering.

## Functions in anocva

 Name Description anocva ANalysis Of Cluster VAriability anocvaStats Calculates ANOVA statistics for original data and bootstrap replicates. checkClusteringFunction Verifies if a clustering function is set. If not, uses the spectral clustering as default clustering method. checkNClust If the number of clusters has not been set, estimates it by using Slope criterion in the range 2, 20. checkRange01 Check for 0,1 Interval Normalization. nClust Optimal Number of Clusters Estimation optimalSlope Estimates the optimal number of clusters using the Slope criterion when silhouette statistics already exists. The optimal number of clusters will be verified in the range 2,..., maxClust. spectralClustering Spectral clustering nClustMulti Multiple Samples Optimal Number of Clusters Estimation optimalSilhouette Estimates the optimal number of clusters using the Silhouette criterion when silhouette statistics already exists. No Results!