使用R畫桑基圖(流程圖)

桑基圖可以用來表示各個節點之間轉換

在R中可以直接定義點點之間的關係後使用相應的package畫桑基圖：

方法一：

riverplot

library(riverplot)

# 構造連接節點的數據框
edges = data.frame(N1 = paste0(rep(LETTERS[1:4], each = 4), rep(1:5, each = 16)),
                   N2 = paste0(rep(LETTERS[1:4], 4), rep(2:6, each = 16)),
                   Value = runif(80, min = 2, max = 5) * rep(c(1, 0.8, 0.6, 0.4, 0.3), each = 16),
                   stringsAsFactors = F)
# 篩選80%的記錄，以免每個點都對應到4個點
edges = edges[sample(c(TRUE, FALSE), nrow(edges), replace = TRUE, prob = c(0.8, 0.2)),]
head(edges)


nodes = data.frame(ID = unique(c(edges$N1, edges$N2)), stringsAsFactors = FALSE)
#
nodes$x = as.integer(substr(nodes$ID, 2, 2))
nodes$y = as.integer(sapply(substr(nodes$ID, 1, 1), charToRaw)) - 65
#
rownames(nodes) = nodes$ID
head(nodes)


# 添加顏色
library(RColorBrewer)
# 後面加調淡顏色
palette = paste0(brewer.pal(4, "Set1"), "60")

# 對每個節點生成相應的格式
styles = lapply(nodes$y, function(n) {
  list(col = palette[n+1], lty = 0, textcol = "black")
})
names(styles) = nodes$ID


# 以list的結構保存一遍調用
rp <- list(nodes = nodes, edges = edges, styles = styles)
class(rp) <- c(class(rp), "riverplot")
plot(rp, plot_area = 0.95, yscale=0.06)

效果圖見：

方法二：

使用包d3Network或者circlize，d3Network是調用D3的畫圖功能來實現，使用一下代碼實現：

library(d3Network)
d3links <- edges
d3nodes <- data.frame(name = unique(c(edges$N1, edges$N2)), stringsAsFactors = FALSE)
d3nodes$seq <- 0:(nrow(d3nodes) - 1)

d3links <- merge(d3links, d3nodes, by.x="N1", by.y="name")
names(d3links)[4] <- "source"

d3links <- merge(d3links, d3nodes, by.x="N2", by.y="name")
names(d3links)[5] <- "target"
names(d3links)[3] <- "value"

d3links <- subset(d3links, select=c("source", "target", "value"))
d3nodes <- subset(d3nodes, select=c("name"))

# 畫圖並保存爲html文件
d3Sankey(Links = d3links, Nodes = d3nodes, Source = "source",
         Target = "target", Value = "value", NodeID = "name",
         fontsize = 12, nodeWidth = 30, file = "TestSankey.html")

效果圖：

備註：

(1)d3Network保存爲HTML文件，有交互式效果；riverplot可選擇保存爲不同的圖片類型

(2)操作中感覺使用riverplot更易調整