psmineR packages supports both detailed and
aggregated performance spectra, as described in Denisov, V., Fahland,
D., & van der Aalst, W. M. P. (2018) doi:10.1007/978-3-319-98648-7_9. Both can be created
%>% traffic_fines ps_detailed()
The number of segments shown in the performance spectrum can be configured in two ways. The first is to explicitly state the number of segments to show.
%>% traffic_fines ps_detailed(n_segments = 10)
Alternatively, one can state a
segment_coverage. This is
a value between 0 and 1 that indicates the percentage of cases in which
each segment must be present in order to be visualized. A value of 0.2
is the default used when neither
segment_coverage are defined.
By default, the colors in the performance spectrum will relate to
lead time quartiles, the longest instances colored in red, while the
shortest are colored in blue. Using the
argument, any available attribute can be used for coloring. For example,
the resource, as shown below.
%>% traffic_fines ps_detailed(classification = "resource")
Note that when another color classification is used, the built-in
bupaR color scale will be used. As the resource variable
traffic_fines is not very insightful, below we show a
slightly more advanced version, where we use log augmentation, while
incorporating the end activity of the case.
%>% traffic_fines end_activities("case") %>% augment(traffic_fines, prefix = "end") %>% ps_detailed(classification = "end_activity")
Changing the color classification can also be done implicitly, by grouping the log on the classification variable.
%>% traffic_fines end_activities("case") %>% augment(traffic_fines, prefix = "end") %>% group_by(end_activity) %>% ps_detailed()
The aggregated performance spectrum works in completely the same way.
%>% traffic_fines end_activities("case") %>% augment(traffic_fines, prefix = "end") %>% group_by(end_activity) %>% ps_aggregated()
Though, it does have 2 more configuration options: the number of bins to be used (default 30), and the grouping to be used (which can be based on “start” or “complete”). Details on the latter can be found in the original paper describing the performance spectrum.
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