Description Usage Arguments Details Examples
Function to create a custom map profile based on some event log attribute.
1 2 |
FUN |
A summary function to be called on the provided event attribute, e.g. mean, median, min, max. na.rm = T by default. |
attribute |
The name of the case attribute to visualize (should be numeric) |
units |
Character to be placed after values (e.g. EUR for monitary euro values) |
color_scale |
Name of color scale to be used for nodes. Defaults to PuBu. See 'Rcolorbrewer::brewer.pal.info()' for all options. |
color_edges |
The color used for edges. Defaults to dodgerblue4. |
If used for edges, it will show the attribute values which related to the out-going node of the edge.#'
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ## Not run:
library(eventdataR)
library(processmapR)
data(traffic_fines)
# make sure the amount attribute is propagated forward in each trace
# using zoo::na.locf instead of tidyr::fill since it is much faster
# still the whole pre-processing is still very slow
library(zoo)
traffic_fines_prepared <- traffic_fines %>%
filter_trace_frequency(percentage = 0.8) %>%
group_by_case() %>%
mutate(amount = na.locf(amount, na.rm = F)) %>%
ungroup_eventlog()
process_map(traffic_fines_prepared, type_nodes = custom(attribute = "amount", units = "EUR"))
## End(Not run)
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