多層SankeyNetwork（NetworkD3）不在R中繪圖

Question

我已經成功使用NetworkD3程序包繪制了2層Sankey Networks。 我創建了一個函數，該函數采用列源，目標和值的數據框並輸出Sankey圖。 我使用此功能來幫助快速生成相似的圖。 我的問題不是關於功能的效率-盡管問題的根源可能在於它。

下面我提供一個可重現的示例。 我演示了我的函數如何為兩個數據集-z1和z2生成SankeyNetwork。 但是，當我將這些數據集與創建3層SankeyNetwork的想法結合在一起時，查看器中沒有任何繪圖（並且我也嘗試增加寬度和高度）。 我猜測這可能與索引編制有關，盡管過去我會收到有關需要零索引編制的錯誤輸出。 我沒有收到任何錯誤，只是一片空白。

library(networkD3)
library(dplyr)


# The function used to create the plots
sanktify <- function(x) {

  # Create nodes DF with the unique sources & targets from input
  nodes <- unique(data.frame(c(unique(x$source), unique(x$target))))
  nodes$ID <- as.numeric(rownames(nodes)) - 1 # sankeyNetwork requires IDs to be zero-indexed
  names(nodes) <- c("name", "ID")

  # Create two versions of nodes for merging
  nodes_source <- nodes
  nodes_target <- nodes

  names(nodes_source) <- c("source", "source_ID")
  names(nodes_target) <- c("target", "target_ID")

  # Replace source & target in links DF with IDs
  links <- merge(x, nodes_source, by="source", all.x=TRUE) %>%
    merge(nodes_target, by="target", all.x=TRUE) %>%
    select(source_ID, target_ID, value) %>%
    arrange(source_ID)

  # Create Sankey Plot
  sank <- sankeyNetwork(
    Links = links,
    Nodes = nodes,
    Source = "source_ID",
    Target = "target_ID",
    Value = "value",
    NodeID = "name",
    units = "USD",
    fontSize = 12,
    nodeWidth = 30
  )

  return(sank)

}


# Creating & plotting first data frame.
z1 <- tbl_df(data.frame(source = c("A", "A", "B", "B"),
                        target = c("Cardiovascular", "Neurological", "Cardiovascular", "Neurological"),
                        value = c(5, 8, 2, 10)))

z1$source <- as.character(z1$source)
z1$target <- as.character(z1$target)
sanktify(z1) # Correctly produces plot


# Creating & plotting 2nd data frame
z2 <- tbl_df(data.frame( source = c("Cardiovascular", "Cardiovascular", "Neurological", "Neurological"),
                         target = c("IP Surg", "IP Med", "IP Surg", "IP Med"),
                         value = c(3, 7, 6, 1)))

z2$source <- as.character(z2$source)
z2$target <- as.character(z2$target)
sanktify(z2) # Correctly produces plot

# Combining the two dataframes into a new DF with the goal of creating a '3-layer' plot.
z3 <- rbind(z1, z2)
sanktify(z3) # Blank output. No errors in the R console

Answer 1

我相信答案應該在交叉發布的Github問題https://github.com/christophergandrud/networkD3/issues/134中 。 我還將在此處復制並粘貼代碼。 unique在錯誤的位置，需要在源和目標連接之后運行。

library(networkD3)
library(dplyr)


# The function used to create the plots
sanktify <- function(x) {

  # Create nodes DF with the unique sources & targets from input

  #  ***** changing this is the key***********************************************************
  nodes <- data.frame(unique(c(x$source,x$target)),stringsAsFactors=FALSE)
  # ************************************************************************************************
  nodes$ID <- as.numeric(rownames(nodes)) - 1 # sankeyNetwork requires IDs to be zero-indexed
  names(nodes) <- c("name", "ID")

  # use dplyr join over merge since much better; in this case not big enough to matter
  # Replace source & target in links DF with IDs
  links <- inner_join(x, nodes, by = c("source"="name")) %>%
    rename(source_ID = ID) %>%
    inner_join(nodes, by = c("target"="name")) %>%
    rename(target_ID = ID) 

  # Create Sankey Plot
  sank <- sankeyNetwork(
    Links = links,
    Nodes = nodes,
    Source = "source_ID",
    Target = "target_ID",
    Value = "value",
    NodeID = "name",
    units = "USD",
    fontSize = 12,
    nodeWidth = 30
  )

  return(sank)

}



# use data_frame to avoid tbl_df(data.frame(
z1 <- data_frame(
  source = c("A", "A", "B", "B"),
  target = c("Cardiovascular", "Neurological", "Cardiovascular", "Neurological"),
  value = c(5, 8, 2, 10)
)
z2 <- data_frame(
  source = c("Cardiovascular", "Cardiovascular", "Neurological", "Neurological"),
  target = c("IP Surg", "IP Med", "IP Surg", "IP Med"),
  value = c(3, 7, 6, 1)
)

z3 <- bind_rows(z1,z2)
sanktify(z3)

Answer 2

盡管進行了大量繁瑣的分步工作來解決問題，但我尷尬地從未嘗試顛倒我將兩個數據幀重新綁定在一起的順序。

z3 <-rbind（z2，z1）與Sanktify函數一起工作，而z3 <-rbind（z1，z2）產生空白圖。

不知道為什么-因為我的函數旨在提供零索引ID＃。 因此，如果對JS / D3有更好理解的任何人都知道，我很好奇。