networkD3
包(请参阅here和here)允许用户创建简单的交互式网络:
# Load package
library(networkD3)
# Create fake data
src <- c("A", "A", "A", "A",
"B", "B", "C", "C", "D")
target <- c("B", "C", "D", "J",
"E", "F", "G", "H", "I")
networkData <- data.frame(src, target)
# Plot
simpleNetwork(networkData)
有没有一种方法可以指定我希望
src
向量中的所有元素都是某种颜色,同时允许target
向量中的所有元素都变成另一种颜色?这将使我能够在视觉上区分网络中的src
节点和target
节点。simpleNetwork()
当前似乎不支持此功能(但我希望有人可以通过自制脚本帮助我):一个类似但不相关的问题是asked here。
最佳答案
这是使用forceNetwork
控制节点颜色的方法。注意,这仍然不会告诉您链接的方向,因为某些节点是某些链接的源,而另一些则是目标的-因此,您需要以某种方式重新考虑该逻辑。但是无论如何,这里是控制节点的颜色。
# Load package
library(networkD3)
library(dplyr) # to make the joins easier
# Create fake data
src <- c("A", "A", "A", "A",
"B", "B", "C", "C", "D")
target <- c("B", "C", "D", "J",
"E", "F", "G", "H", "I")
networkData <- data.frame(src, target, stringsAsFactors = FALSE)
nodes <- data.frame(name = unique(c(src, target)), stringsAsFactors = FALSE)
nodes$id <- 0:(nrow(nodes) - 1)
# create a data frame of the edges that uses id 0:9 instead of their names
edges <- networkData %>%
left_join(nodes, by = c("src" = "name")) %>%
select(-src) %>%
rename(source = id) %>%
left_join(nodes, by = c("target" = "name")) %>%
select(-target) %>%
rename(target = id)
edges$width <- 1
# make a grouping variable that will match to colours
nodes$group <- ifelse(nodes$name %in% src, "lions", "tigers")
# simple with default colours
forceNetwork(Links = edges, Nodes = nodes,
Source = "source",
Target = "target",
NodeID ="name",
Group = "group",
Value = "width",
opacity = 0.9,
zoom = TRUE)
# control colours with a JS ordinal scale
# edited 20 May 2017 with updated code from Renal Chesak's answer:
ColourScale <- 'd3.scaleOrdinal()
.domain(["lions", "tigers"])
.range(["#FF6900", "#694489"]);'
forceNetwork(Links = edges, Nodes = nodes,
Source = "source",
Target = "target",
NodeID ="name",
Group = "group",
Value = "width",
opacity = 0.9,
zoom = TRUE,
colourScale = JS(ColourScale))
关于javascript - R networkD3软件包: node coloring in simpleNetwork(),我们在Stack Overflow上找到一个类似的问题:https://stackoverflow.com/questions/35280218/