trajectories {tame}R Documentation

Timing pattern frequency within clusters

Description

trajectories() calculates the average timing paths within clusters.

Usage

trajectories(
  clustering,
  only = NULL,
  clusters = NULL,
  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.

clusters

<tidy-select> An unquoted expression naming the cluster or clusters in object one wants to see summaries of. Names can be used as if they were positions in the data frame, so expressions like I:IV can be used to select a range of clusters.

The default NULL selects all clusters in the chosen clusterings of 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.

...

Additional arguments passed to the internal summary function.

  • cluster_wise an option in the medications() function.

  • m an option in the medications() function. A numeric restricting the number of distinct ATC codes plotted within each cluster. That is, the (at most) m most frequent ATC codes within that cluster is given a color.

  • q an option in the medications() function. A numeric between 0 and 1 restricting the minimal ATC codes frequency displayed within each cluster.

  • count_grouper an option in the amounts() function. A function for grouping counts. As a standard it groups counts as 1 medication, 2 medications, and 3+ medications.

  • atc_groups A data.frame specifying the ATC groups to summaries by. The data.frame must have two columns: (1) regex giving regular expressions specifying the wanted ATC groups and (2) atc_groups the name of this ATC grouping. As a standard the anatomical level (first level) of the ATC codes is used.

Details

trajectories() calculates both the number of unique timing trajectories in each cluster and the average timing trajectories in each cluster.

Value

trajectories() returns a list of class summary.medic.trajectories with two data frames:

average

individual


[Package tame version 0.0.1 Index]