Prepares a data.frame summarazing cluster stability selection output to print
printCssDf.RdPrint a summary of the information from the css function.
Arguments
- css_results
An object of class "cssr" (the output of the function css).
- cutoff
Numeric; the outputted data.frame will display only those clusters with selection proportions equal to at least cutoff. Must be between 0 and 1. Default is 0 (in which case either all clusters are displayed, or max_num_clusts are, if max_num_clusts is specified).
- min_num_clusts
Integer or numeric; the minimum number of clusters to use regardless of cutoff. (That is, if the chosen cutoff returns fewer than min_num_clusts clusters, the cutoff will be increased until at least min_num_clusts clusters are selected.) Default is 1.
- max_num_clusts
Integer or numeric; the maximum number of clusters to use regardless of cutoff. (That is, if the chosen cutoff returns more than max_num_clusts clusters, the cutoff will be decreased until at most max_num_clusts clusters are selected.) Default is NA (in which case max_num_clusts is ignored).
Value
A data.frame; each row contains a cluster, arranged in decreasing order of cluster selection proportion from top to bottom. The columns are ClustName (the name of the cluster that was either provided to css or made by css if no name was provided); ClustProtoName (the name of the selection prototype from the cluster, which is the feature with the greatest individual selection proportion among all the cluster members, with ties broken by choosing the feature with the highest correlation with the response if the response is real-valued; only returned if the features are named), ClustProtoNum (the column number of the prototype in the X matrix provided to css), and ClustSize (the size of the cluster).