Description Usage Arguments Details Value Author(s) References
Test the significance of a subcluster directly under a given cluster. If it is not significant, the subcluster is eliminated and its element are merged in the main cluster. Bootstrap samples of the underlying data needs to be provided, as well as the structure under consideration.
1 | ClusterNodeSelection(cluster, testPos, alpha, data, BootData)
|
cluster |
the main cluster (of the form provided by the function hclust2tree) |
testPos |
the position of the subcluster to test, directly under the main cluster |
alpha |
the confidence level for the tests |
data |
the underlying data |
BootData |
the dataframe of bootstrap samples of Spearman rho, with columns named "(i,j)", where "i" and "j" are different leaves |
The hypothesis testing is made with the matrix of Spearman's rho for a given dataset, see \insertCitegaisser2010testingerhcv.
The main cluster, with or without the node under test, wether the hypothesis can be rejected or not.
Simon-Pierre Gadoury
gaisser2010testingerhcv
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