method_selector: Method Selector

In tame: Timing, Anatomical, Therapeutic and Chemical Based Medication Clustering

Method Selector

Description

The method_selector() is a filtering function for extracting only the relevant parameters from a medic object.

Usage

method_selector(clustering, only, additional_data = NULL)

Arguments

only	<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.
additional_data	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.

Details

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().

Value

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.

See Also

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.

tame documentation built on April 12, 2025, 1:40 a.m.