桑基图可能不是最好的绘图类型,但是如果您首先将数据排列成正确的格式,它将起作用......
All_Employees <-
read.csv(header = T, na.strings = "", stringsAsFactors = F, check.names = F,
text = "
Employee Name,Manager Name
Betty,
Tom,Betty
Bob,Betty
Mark,Tom
John,Tom
Sally,Bob")
node_names <- factor(sort(unique(as.character(unname(unlist(All_Employees))))))
nodes <- data.frame(name = node_names)
links <- data.frame(source = match(All_Employees$`Manager Name`, node_names) - 1,
target = match(All_Employees$`Employee Name`, node_names) - 1,
value = 1)
links <- links[!is.na(links$source), ]
library(networkD3)
sankeyNetwork(Links = links, Nodes = nodes,
Source = "source", Target = "target",
Value = "value", NodeID = "name",
fontSize = 12, nodeWidth = 30)

或者,您可以使用diagonalNetwork()
which 创建一个可能更适合的树形图...
library(dplyr)
library(data.tree)
library(networkD3)
All_Employees %>%
filter(!is.na(`Manager Name`)) %>%
data.tree::FromDataFrameNetwork() %>%
data.tree::ToListExplicit(unname = TRUE) %>%
diagonalNetwork()

或者,如果您使用的是开发版networkD3
,则可以更轻松地使用新treeNetwork()
功能,该功能具有更多自定义功能(但仍然存在错误,因为它仍在开发中)...
library(dplyr)
library(networkD3)
All_Employees %>%
rename(nodeId = `Employee Name`, parentId = `Manager Name`) %>%
mutate(name = nodeId) %>%
treeNetwork(direction = "down", linkType = "elbow")
