过渡的Sankey图

时间:2017-09-05 11:41:50

标签: r sankey-diagram networkd3

我正在尝试从下面的堆栈溢出问题Sankey diagram in R

复制代码并发出问题

添加一些样本数据

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过渡流程的代码

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应该被索引为0.但是如果我尝试相同的语法,我在源和目标中获得NA。可能导致此错误的原因是什么?

2 个答案:

答案 0 :(得分:1)

此代码在底部生成了图表。有关代码更改的说明,请参阅我的注释。而且,这里有一个很棒的资源:several methods with R to create Sankey (river) plots.

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)   

enter link description here

答案 1 :(得分:1)

您可以将链接数据框中的Source和Target变量转换为节点数据框中节点的索引,如此...

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)