tame (version 0.2.0)

enrich: Enrich Clustering Parameter

Description

Enrich the parameter information in a clustering with user-defined data.

Usage

enrich(object, additional_data = NULL, by = NULL)

Value

An object of class medic.

Arguments

object

A medic object for enrichment.

additional_data

A data frame with additional data that may be (left-)joined onto the parameters in object.

by

A character vector of variables to join by. This variables is passed to the by term in a dplyr::left_join() and inherits its behavior:

If NULL, the default, the join will perform a natural join, using all variables in common across the parameters and additional_data.

To join by different variables on parameters and additional_data, use a named vector. For example, by = c("k" = "cluster_size") will match parameters$k to additional_data$cluster_size.

To join by multiple variables, use a vector with length > 1. For example, by = c("k", "summation_method") will match parameters$k to additional_data$k and parameters$summation_method to
additional_data$summation_method. Use a named vector to match different variables in parameters and additional_data.

For example, by = c("k" = "cluster_size", "summation_method" = "sm") will match parameters$k to additional_data$cluster_size and parameters$summation_method to additional_data$sm.

Details

The enrich() function is a joining function used for enriching the clustering characteristics with user-defined data. This function is used in all of the investigative functions with a additional_data statement such as summary(), cluster_frequency() and medication_frequency().

Examples

clust <- medic(
   complications,
   id = id,
   atc = atc,
   timing = first_trimester:third_trimester,
   k = 3:5
)

new_parameters <- data.frame(k = 3:5, size = c("small", "small", "large"))

enrich(clust, new_parameters)