2

我正在尝试从下面的堆栈溢出问题复制代码和问题Sankey diagram in R

添加一些示例数据

head(links) #Data.frame

Source   Target  Weight 
 Fb        Google  20 
 Fb         Fb      2
 BBC        Google 21
 Microsoft  BBC    16 

head(nodes) 
Fb
BBC
Google
Microsoft

构建 sankey 转换流的代码

sankeyNetwork(Links = links, 
              Nodes = nodes, 
              Source = "Source",
              Target = "Target", 
              Value = "value", 
              fontSize = 12, 
              nodeWidth = 30)

上面提到的堆栈溢出帖子提到源和目标的索引应为 0。但是，如果我尝试相同的语法，我会在源和目标中得到 NA。什么可能导致此错误？

4

2 回答 2

1

这段代码在底部生成了图。有关代码更改的解释，请参阅我的评论。而且，这里有一个很棒的资源：创建 Sankey（河流）地块的几种方法。R

library(networkD3)  

# change to numeric index starting at 0.  I assigned Fb to zero, and so on
links <- data.frame(Source = c(0, 0, 1, 2),
                     Target = c(3, 0, 3, 1),
                     Weight = c(20, 2, 21, 16))

# a nodes dataframe (or dataframe element of a list, as in the help) is needed
nodes <- data.frame(name = c("Fb", "Google", "BBC", "MS"))

sankeyNetwork(Links = links, 
              Nodes = nodes, 
              Source = "Source",
              Target = "Target", 
              Value = "Weight",   # changed from "value"
              fontSize = 12, 
              nodeWidth = 30)

在此处输入链接描述

于 2017-09-05T13:00:44.210 回答
1

您可以将链接数据框中的源和目标变量转换为节点数据框中节点的索引，如下所示...

links <- read.table(header = T, text = "
Source   Target  Weight
Fb        Google  20
Fb         Fb      2
BBC        Google 21
Microsoft  BBC    16
")

nodes <- read.table(header = T, text = "
name
Fb
BBC
Google
Microsoft
")

# set the Source and Target values to the index of the node (zero-indexed) in
# the nodes data frame
links$Source <- match(links$Source, nodes$name) - 1
links$Target <- match(links$Target, nodes$name) - 1

print(links)
print(nodes)

# use the name of the column in the links data frame that contains the values
# for the value you pass to the Value parameter (e.g. "Weight" not "value")
library(networkD3)
sankeyNetwork(Links = links, Nodes = nodes, Source = "Source", 
              Target = "Target", Value = "Weight",
              fontSize = 12, nodeWidth = 30)
于 2017-09-06T12:41:06.090 回答