Цвета применяются для каждого уровня, а затем в том порядке, в котором данные были изначально. В этом примере цвета упорядочены таким образом, что корень черный, провинции красные, а города синие.
library(networkD3)
CanadaPC <- list(name = "Canada", children =
list(list(name = "Newfoundland",
children = list(list(name = "St. John's"))),
list(name = "PEI",
children = list(list(name = "Charlottetown"))),
list(name = "Nova Scotia",
children = list(list(name = "Halifax"))),
list(name = "New Brunswick",
children = list(list(name = "Fredericton"))),
list(name = "Quebec",
children = list(list(name = "Montreal"),
list(name = "Quebec City"))),
list(name = "Ontario",
children = list(list(name = "Toronto"),
list(name = "Ottawa"))),
list(name = "Manitoba",
children = list(list(name = "Winnipeg"))),
list(name = "Saskatchewan",
children = list(list(name = "Regina"))),
list(name = "Nunavuet",
children = list(list(name = "Iqaluit"))),
list(name = "NWT",
children = list(list(name = "Yellowknife"))),
list(name = "Alberta",
children = list(list(name = "Edmonton"))),
list(name = "British Columbia",
children = list(list(name = "Victoria"),
list(name = "Vancouver"))),
list(name = "Yukon",
children = list(list(name = "Whitehorse")))
))
colorVector <- c("black", rep("red", 13), rep("blue", 16))
jsarray <- paste0('["', paste(colorVector, collapse = '", "'), '"]')
nodeStrokeJS <- JS(paste0('function(d, i) { return ', jsarray, '[i]; }'))
diagonalNetwork(List = CanadaPC, nodeStroke = nodeStrokeJS)