通过将forceNetwork用于networkD3,是否可以将多个网络绘制成1个图?

一个示例(来自Adjust background picture and title for plot from networkD3's forceNetwork帖子)使用1组节点+边(即subNodes和subLinkList)。在有4组节点+边的情况下,我想将它们全部放入1个图中。这怎么可能?

谢谢。

1组节点+边的图形如下:

library(networkD3)
library(htmlwidgets)

subNodes <-
  read.table(stringsAsFactors = FALSE, header = TRUE, text = "
             nodeName nodeGroup     nodeSize
             Bob      NorthAmerica  10
             Alice    NorthAmerica  10
             Tom      China         10
             John     Japan         10
             ")

subLinkList <-
  read.table(stringsAsFactors = FALSE, header = TRUE, text = "
             root  children  linkValue
             0     1         1
             0     2         1
             0     3         1
             ")

network <- forceNetwork(Links = subLinkList, Nodes = subNodes,
                        Source = "root", Target = "children",
                        Value = "linkValue", NodeID = "nodeName",
                        Group = "nodeGroup",
                        opacity = 1, Nodesize = "nodeSize",
                        legend = TRUE)

network <- htmlwidgets::prependContent(network, htmltools::tags$h1("Title"))

network <- htmlwidgets::onRender(
  network,
  'function(el, x) {
    d3.selectAll(".legend text").style("fill", "white");
    d3.select("body").style("background-color", "#144370");
    d3.select("h1").style("color", "red").style("font-family", "sans-serif");
    d3.select("body")
      .style("background-repeat", "no-repeat")
      .style("background-position", "right bottom");
  }'
)


network

最佳答案

我相信这就是您想要的。

只需使用bind_rows中的功能dplyr合并您的节点和边集

library(networkD3)
library(htmlwidgets)
library(dplyr)

subNodes <-
  read.table(stringsAsFactors = FALSE, header = TRUE, text = "
             nodeName nodeGroup     nodeSize
             Bob      NorthAmerica  10
             Alice    NorthAmerica  10
             Tom      China         10
             John     Japan         10
             ")

subLinkList <-
  read.table(stringsAsFactors = FALSE, header = TRUE, text = "
             root  children  linkValue
             0     1         1
             0     2         1
             0     3         1
            ")

subNodes2 <-
  read.table(stringsAsFactors = FALSE, header = TRUE, text = "
             nodeName nodeGroup     nodeSize
             A        Brazil        10
             B        NorthAmerica  10
             C        China         10
             D        Japan         10
             ")

subLinkList2 <-
  read.table(stringsAsFactors = FALSE, header = TRUE, text = "
            root  children  linkValue
             4     5         1
             4     6         1
             4     7         1
             ")

subNodes3 <-
  read.table(stringsAsFactors = FALSE, header = TRUE, text = "
             nodeName nodeGroup     nodeSize
             E        Brazil        10
             F        NorthAmerica  10
             G        China         10
             H        Japan         10
             ")

subLinkList3 <-
  read.table(stringsAsFactors = FALSE, header = TRUE, text = "
             root  children  linkValue
             8     9         1
             8     10        1
             8     11        1
             ")


subNodes4 <-
  read.table(stringsAsFactors = FALSE, header = TRUE, text = "
             nodeName nodeGroup     nodeSize
             I        Brazil        10
             J        NorthAmerica  10
             K        China         10
             L        Japan         10
             ")

subLinkList4 <-
  read.table(stringsAsFactors = FALSE, header = TRUE, text = "
            root  children  linkValue
            12    13        1
            12    14        1
            12    15        1
            ")


subNodesFinal <- bind_rows(subNodes, subNodes2, subNodes3, subNodes4)
subLinkListFinal <- bind_rows(subLinkList, subLinkList2, subLinkList3,
                              subLinkList4)

network <- forceNetwork(Links = subLinkListFinal, Nodes = subNodesFinal,
                        Source = "root", Target = "children",
                        Value = "linkValue", NodeID = "nodeName",
                        Group = "nodeGroup",
                        opacity = 1, Nodesize = "nodeSize",
                        legend = TRUE)

network <- htmlwidgets::prependContent(network, htmltools::tags$h1("Title"))

network <- htmlwidgets::onRender(
  network,
  'function(el, x) {
    d3.selectAll(".legend text").style("fill", "white");
    d3.select("body").style("background-color", "#144370");
    d3.select("h1").style("color", "red").style("font-family", "sans-serif");
    d3.select("body")
      .style("background-repeat", "no-repeat")
      .style("background-position", "right bottom");
  }'
)


network


javascript - 来自networkD3的forceNetwork的1个图中的多个网络-LMLPHP

08-20 04:46