It is possible to change the aesthetics of tokens based on the timestamp of the animation
For example, the number of days a ‘patient’ has been in the system
# Libraries ---------------------------------------------------------------
library(dplyr) ##pipes
library(tidyr) ##tidy data, partcularly the crossing() function
library(lubridate) ##date time manipulation
library(bupaR) ##buisness process analytics
library(processanimateR) ##animates process
# Create performance time flags ------------------------------------------------
<- data.frame(value = c(0,2,4,8,16)) %>%
my_flags mutate(day = days(value)) #convert numeric value into days
This will change the colour of the token at 0, 2, 4, 8, and 16 days.
The crossing()
function joins the cases of ‘patients’ to
‘my_flags’ and creates all possible combinations.
# Create timestamps of flags ----------------------------------------------
<- patients %>%
my_timeflags %>%
cases crossing(my_flags) %>% ##similar to a SQL outer join
mutate(time = start_timestamp + day) %>%
filter(time <= complete_timestamp) %>%
select("case" = patient,time,value) ##must be case, time, value
The data for the token_scale()
function must have the
column headings ‘case, time, value’.
Without the domain = my_flags$value
argument the flags
follow alphabetic order (e.g. 0, 16, 2, 4, 8) rather than the numeric
order we wants. See d3-legend for further
information.
# Animate process ---------------------------------------------------------
%>%
patients animate_process(mode ="absolute",
jitter=10,
legend = "color",
mapping = token_aes(
color = token_scale(my_timeflags
scale = "ordinal"
, domain = my_flags$value
, range = rev(RColorBrewer::brewer.pal(5,"Spectral"))
, )))
The colors can be modified through the range
argument.
In this case the scale is reversed with rev()
to go from
blue to red. See RColorBrewer::brewer.pal.info
for all
options:
Acknowledgement
Thanks to Dominic Rowney for this nice example of advanced processanimateR usage. The original example code can be found here.