library(bupaverse)
Instead of a frequencies, process maps can also be
used to visualize performance of the process, by using
performance()
to configure the map, instead of
frequency()
.
%>%
patients process_map(performance())
There are three different parameters specific to the
performance()
configuration: the aggregation function, the
time units, and the flow time type.
The FUN
argument specifies the aggregation function to
apply on the processing time (e.g. min, max, mean, median, etc.). By
default, the mean durations are shown. We can adjust this to
the maximum, for example.
%>%
patients process_map(performance(FUN = max))
Any function that takes a numerical vector and returns a single value can be used. For example, let’s say we want to show the 0.90 percentile.
<- function(x, ...) {
p90 quantile(x, probs = 0.9, ...)
}
%>%
patients process_map(performance(FUN = p90))
Note that the ...
is mandatory as
process_map()
will automatically add na.rm = T
to the aggregation function call.
The units
argument allows to specify the time units to
be used.
%>%
patients process_map(performance(mean, "days"))
%>%
patients process_map(performance(mean, "hours"))
Finally, you can set the flowt_time
argument.
There are two different duration types that can be displayed on the edges:
idle_time
: the time between the end of the source
activity, and the start of the target activity. Can be negative if the
source activity overlaps with the target activity.inter_start_time
: the time between the
start of the source- and target activities,
including the duration of the from-activity.Read more:
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