R的Sankey Diagrams？

Question

我试图用R中的Sankey图来可视化我的数据流.

我发现这个博客文章链接到一个产生Sankey图的R脚本,不幸的是它非常原始且有些局限(见下面的示例代码和数据).

有没有人知道其他脚本 - 或者甚至是一个更开发的包？我的最终目标是通过图表组件的相对大小来可视化数据流和百分比,就像在这些Sankey Diagrams示例中一样.

我在r-help列表上发布了一个类似的问题,但是经过两周没有任何回复,我在stackoverflow上尝试运气.

谢谢,埃里克

PS.我知道并行集图,但这不是我想要的.

# thanks to, https://tonybreyal.wordpress.com/2011/11/24/source_https-sourcing-an-r-script-from-github/
  sourc.https     <- function(url, ...) {
# install and load the RCurl package 
if (match('RCurl', nomatch=0, installed.packages()[,1])==0) {
  install.packages(c("RCurl"), dependencies = TRUE)
  require(RCurl)  
} else require(RCurl)    

# parse and evaluate each .R script
  sapply(c(url, ...), function(u) {
    eval(parse(text = getURL(u, followlocation = TRUE, 
    cainfo  = system.file("CurlSSL", "cacert.pem", 
    package = "RCurl"))), envir = .GlobalEnv)
 } )
 }

# from https://gist.github.com/1423501
sourc.https("https://raw.github.com/gist/1423501/55b3c6f11e4918cb6264492528b1ad01c429e581/Sankey.R")

# My example (there is another example inside Sankey.R):
inputs = c(6, 144)
losses = c(6,47,14,7, 7, 35, 34)
unit = "n ="

labels = c("Transfers",
           "Referrals\n",
           "Unable to Engage",
           "Consultation only",
           "Did not complete the intake",
           "Did not engage in Treatment",
           "Discontinued Mid-Treatment",
           "Completed Treatment",
           "Active in \nTreatment")

SankeyR(inputs,losses,unit,labels)

# Clean up my mess
rm("inputs", "labels", "losses", "SankeyR", "sourc.https", "unit")

使用上面的代码生成的Sankey Diagram,

Answer 1

可以通过networkD3包创建该图.它允许您创建交互式sankey图表.在这里你可以找到一个例子.我还添加了一个截图,让您了解它的外观.

# Load package
library(networkD3)

# Load energy projection data
# Load energy projection data
URL <- paste0(
        "https://cdn.rawgit.com/christophergandrud/networkD3/",
        "master/JSONdata/energy.json")
Energy <- jsonlite::fromJSON(URL)
# Plot
sankeyNetwork(Links = Energy$links, Nodes = Energy$nodes, Source = "source",
             Target = "target", Value = "value", NodeID = "name",
             units = "TWh", fontSize = 12, nodeWidth = 30)

Answer 2

我创建了一个包(riverplot),与Sankey函数相比,它具有略微不同但重叠的功能,并且可以生成如下图:

Answer 3

如果你想用R做,你的最佳出价似乎是@Roman建议 - 破解SankeyR功能.例如 - 下面是我非常快速的修复 - 只需将标签定向为verticaly,slighlty偏移它们并减少输入referals的字体以使其看起来更好一些.此修改仅更改SankeyR函数中的第171行和第223行:

    #line171 - change oversized font size of input label
    fontsize = max(0.5,frInputs[j]*1.5)#1.5 instead of 2.5 

    #line223 - srt changes from 35 to 90 to orient labels vertically, 
    #and offset adjusts them to get better alignment with arrows
    text(txtX, txtY, fullLabel, cex=fontsize, pos=4, srt=90, offset=0.1)

我不是三角学的王牌,但这正是改变箭头方向所需要的.在我看来这是理想的 - 如果你可以调整松动箭头,使它们水平定向而不是垂直定向.否则,为什么我的解决方案解决了标签方向的问题,它不会使图表更具可读性......

Answer 4

除了rCharts之外,现在还可以使用googleVis(版本> = 0.5.0)在R中生成Sankey图表.例如,这篇文章描述了使用googleVis生成以下图表:

Answer 5

R的冲积包也会这样做(来自?alluvial).

# install.packages(c("alluvial"), dependencies = TRUE)
require(alluvial)

# Titanic data
tit <- as.data.frame(Titanic)

# 4d
alluvial( tit[,1:4], freq=tit$Freq, border=NA,
     hide = tit$Freq < quantile(tit$Freq, .50),
     col=ifelse( tit$Class == "3rd" & tit$Sex == "Male", "red", "gray") )

Answer 6

图表具有与networkD3包相同的功能(示例链接).

Answer 7

从这些定义来看,这个函数,如并行集图,缺乏分割和组合流的能力(即通过一个以上的过渡).

由于Sankey图是有向加权图,因此像qgraph这样的包可能很有用.

SankeyR如果您按照降序对损失进行排序,则该功能会提供更清晰的标签,因为文本更靠近箭头而不重叠.

Answer 8

为了完整起见，还有ggalluvial一个ggplot2 extension用于冲积/桑基图的包。

这是从包的文档中获取的示例

# devtools::install_github("corybrunson/ggalluvial", ref = "optimization")
library(ggalluvial)

titanic_wide <- data.frame(Titanic)
ggplot(data = titanic_wide,
       aes(axis1 = Class, axis2 = Sex, axis3 = Age,
           y = Freq)) +
  scale_x_discrete(limits = c("Class", "Sex", "Age"), expand = c(.1, .05)) +
  xlab("Demographic") +
  geom_alluvium(aes(fill = Survived)) +
  geom_stratum() + geom_text(stat = "stratum", label.strata = TRUE) +
  theme_minimal() +
  ggtitle("passengers on the maiden voyage of the Titanic",
          "stratified by demographics and survival") +
  theme(legend.position = 'bottom')

ggplot(titanic_wide,
       aes(y = Freq,
           axis1 = Survived, axis2 = Sex, axis3 = Class)) +
  geom_alluvium(aes(fill = Class),
                width = 0, knot.pos = 0, reverse = FALSE) +
  guides(fill = FALSE) +
  geom_stratum(width = 1/8, reverse = FALSE) +
  geom_text(stat = "stratum", label.strata = TRUE, reverse = FALSE) +
  scale_x_continuous(expand = c(0, 0), 
                     breaks = 1:3, labels = c("Survived", "Sex", "Class")) +
  scale_y_discrete(expand = c(0, 0)) +
  coord_flip() +
  ggtitle("Titanic survival by class and sex")

^{由reprex 包(v0.2.1.9000)于 2018 年 11 月 13 日创建}

Answer 9

看看//sankeybuilder.com,因为它提供了一个随时可用的解决方案,您可以随时上传数据和播放变化.转换效果很好(类似于您问题中的youtube演示).如果您加载SankeyTrend演示,它包含许多时间段(数据年数).加载后(自动构建sankeys),单击页面右上角的播放按钮以播放时隙,甚至可以暂停和恢复时间.演示网址在这里:SankeyTrend希望这可以帮助您寻找完美的Sankey图表.