The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
It is possible to use a secondary data frame to determine the aesthetics of tokens irregardless of the times at which activities occurred. This can be useful if measurement are taken throughout a process, but the measurement event itself should not be included in the process map.
For example, the lactic acid measurements of the sepsis
data could be used in that way:
library(processanimateR)
library(dplyr)
library(bupaR)
# Extract only the lacticacid measurements
lactic <- sepsis %>%
mutate(lacticacid = as.numeric(lacticacid)) %>%
filter_activity(c("LacticAcid")) %>%
as.data.frame() %>%
select("case" = case_id,
"time" = timestamp,
value = lacticacid) # format needs to be 'case,time,value'
# Remove the measurement events from the sepsis log
sepsisBase <- sepsis %>%
filter_activity(c("LacticAcid", "CRP", "Leucocytes", "Return ER",
"IV Liquid", "IV Antibiotics"), reverse = T) %>%
filter_trace_frequency(percentage = 0.95)
# Animate with the secondary data frame `lactic`
animate_process(sepsisBase,
mode = "relative",
duration = 300,
legend = "color",
mapping = token_aes(color = token_scale(lactic,
scale = "linear",
range = c("#fff5eb","#7f2704"))))These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.