consensusClusterNoPlots is a wrapper function for
ConsensusClusterPlusthat suppresses
the creation of the plots that are created automatically.
consensusClusterNoPlots(df, link_method, dist_method, max_k, reps, p_var,
p_net, cc_seed)A dataframe of network attributes containing only numeric values. The columns of the dataframe should likely be normalized.
The agglomeration method to be used for hierarchical
clustering. Defaults to the average linkage method. See other methods in
hclust.
The distance measure to be used between columns and
between rows of the dataframe. Distance is used as a measure of similarity.
Defaults to euclidean distance. See other options in
dist.
The maximum number of clusters to consider in the consensus clustering step. Consensus clustering will be performed for max_k-1 iterations, i.e. for 2, 3, ..., max_k clusters. Defaults to 10.
The number of subsamples taken at each iteration of the consensus cluster algorithm. Defaults to 1000.
The proportion of network variables to be subsampled during consensus clustering. Defaults to 1.
The proportion of networks to be subsampled during consensus clustering. Defaults to 0.8.
The seed used to ensure the reproducibility of the consensus clustering. Defaults to 1.
@author Philippe Boileau , philippe_boileau@berkeley.edu
@importFrom ConsensusClusterPlus ConsensusClusterPlus @importFrom grDevices png dev.off