Tokens aesthetics mapping

Source: R/token_aes.R

Tokens aesthetics mapping

token_aes(
  size = token_scale(),
  color = token_scale(),
  image = token_scale(),
  opacity = token_scale(),
  shape = "circle",
  attributes = list()
)

Arguments

size

The scale used for the token size.

color

The scale used for the token color,

image

The scale used for the token image.

opacity

The scale used for the token opacity.

shape

The (fixed) SVG shape to be used to draw tokens. Can be either 'circle' (default), 'rect' or 'image'. In the latter case the image URL needs to be specified as parameter 'token_image'.

attributes

A list of additional (fixed) SVG attributes to be added to each token.

Value

An aesthetics mapping for `animate_process`.

Examples

data(example_log)

# Change default token sizes / shape
animate_process(example_log, mapping = token_aes(size = token_scale(12), shape = "rect"))




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123Wed 0301 AM02 AM03 AM04 AM05 AM06 AM07 AM08 AM09 AM10 AM11 AM12 PM01 PM10/3/2018 12:01:46 AM

# \donttest{
# Change default token color
animate_process(example_log, mapping = token_aes(color = token_scale("red")))




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123Wed 0301 AM02 AM03 AM04 AM05 AM06 AM07 AM08 AM09 AM10 AM11 AM12 PM01 PM10/3/2018 12:01:46 AM


# Change default token opacity
animate_process(example_log, mapping = token_aes(opacity = token_scale("0.2")))




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123Wed 0301 AM02 AM03 AM04 AM05 AM06 AM07 AM08 AM09 AM10 AM11 AM12 PM01 PM10/3/2018 12:01:46 AM


# Change default token image (GIFs work too)
animate_process(example_log,
   mapping = token_aes(shape = "image",
    size = token_scale(10),
    image = token_scale("https://upload.wikimedia.org/wikipedia/commons/5/5f/Pacman.gif")))




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123Wed 0301 AM02 AM03 AM04 AM05 AM06 AM07 AM08 AM09 AM10 AM11 AM12 PM01 PM10/3/2018 12:01:46 AM


# A more elaborate example with a secondary data frame
library(eventdataR)
data(traffic_fines)
# Change token color based on a numeric attribute, here the nonsensical 'time' of an event
animate_process(edeaR::filter_trace_frequency(bupaR::sample_n(traffic_fines,1000),percentage=0.95),
  legend = "color", mode = "relative",
  mapping = token_aes(color = token_scale("amount",
                                          scale = "linear",
                                          range = c("yellow","red"))))




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Add penalty
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Insert Fine Notification
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Payment
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Send for Credit Collection
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