Description Usage Arguments Value
This function is a modified version of the GAP statistic for very large datasets.
1 2 | GAP_dicho(R, Kmin, Kmax, Nperm = 100, method = "ward.D",
bestk_method = "Tib", dicho_f = 2)
|
R |
is a correlation matrix |
Kmin |
gives the minimum number of clusters that we want to obtain |
Kmax |
gives the maximum number of clusters that we want to obtain |
Nperm |
is the number of resampling that we want to do |
method |
can only be one of the proposed clustering algorithm. it must return a list with one of the elements named "cluster", which is a vector of length p (number of genes) and containing the id of the cluster for each gene |
bestk_method |
the way to compute the best k as describe in the GAP package |
dicho_f |
the factor for the dichotomy, A small value will lead to several rounds. |
bestk the optimal number of clusters.
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