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
-
cluster_name
the name of the clustering.
-
cluster
the cluster
name.
-
timing variables the average timing value in cluster
.
-
n
the number of people in cluster
.
individual
-
cluster_name
the name of the clustering.
-
cluster
the cluster name.
-
timing variables a unique timing pattern in cluster
.
-
n
number of people with this unique timing pattern.
[Package
tame version 0.0.1
Index]