The method_selector() is a filtering function for extracting only the
relevant parameters from a medic object.
method_selector(clustering, only, additional_data = NULL)A parameters data frame with at least the following columns
cluster_name the name of the clustering cluster_name.
clustering the name of the clustering group before the number of
clusters is chosen.
linkage the linkage criteria.
alpha the normalization tuning.
beta the timing importance tuning.
gamma the dose importance tuning.
theta the ATC measure tuning.
k the number of clusters.
where each row specifies the parameters for the chosen methods. Any
additional columns present in the the outcome are from the
additional_data.
<data-masking> Expressions that
return a logical value, and are defined in terms of the variables in
object and/or additional_data.
The default NULL selects all clusterings in object.
A data frame with additional data that may be
(left-)joined onto the parameters in object. This is often
used in conjuction with only to select specific clusterings based on
additional_data.
The method_selector() function is a filtering function used for extracting
the characteristics of the chosen method. This function is used in all of
the investigative functions called by summary().
cluster_selector() is another selector method used through out
the package.
enrich() is a joining function used for enriching the clustering
characteristics with user-defined data.
summary.medic() is the main function for summarizing the
clustering results.