timing_atc_group: Timing and ATC pattern interactions

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

Timing and ATC pattern interactions

Description

The function timing_atc_group() calculates the frequencies of distinct timing and ATC combinations within clusters.

Usage

timing_atc_group(
  object,
  only = NULL,
  clusters = NULL,
  atc_groups = default_atc_groups,
  additional_data = NULL,
  ...
)

Arguments

object	An object for which a summary is desired.
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.
atc_groups	A data.frame specifying the ATC groups to summaries by or a funciton that returns such a data.frame. The data.frame must have two columns: regex giving regular expressions specifying the wanted ATC groups. atc_groups the name of this ATC grouping. As a standard the anatomical level (first level) of the ATC codes is used.
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 specific summary sub-function.

Details

timing_atc_group() calculates both the number of people with unique timing trajectory and ATC group, as given by atc_groups, in each cluster.

Value

timing_atc_group() returns a list of class timing_atc_group with two data frames:

average

• Clustering the name of the clustering.

• Cluster the name of the cluster.

• ⁠ATC Groups⁠ the name of the ATC group. The groups are given by the atc_groups input.

• timing variables the average timing value in the ATC group and cluster.

• ⁠Number of Medications⁠ the number of medications in the ATC group in the cluster.

• ⁠Percentage of Medications⁠ the percentage of medication in the cluster with this ATC group.

• ⁠Number of Distinct Timing Trajectories⁠ the number of unique timing trajectories in the ATC group in the cluster.

individual

• Clustering the name of the clustering.

• Cluster the name of the cluster.

• timing variables a unique timing pattern in the ATC group and cluster.

• ⁠Number of Medications with Timing Trajectory⁠ the number of medications with this unique timing trajectory and ATC group.

Examples

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

timing_atc_group(clust, k == 5, clusters = I:III)

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