在R中将数据结构绘制为树 [英] plot data structure as a tree in R

问题描述

我正在使用 plotrix 包中的 sizetree（）函数绘制我的数据作为树的结构（请参见下文），它可以正常工作。

但是，我想知道是否还有其他方法（或程序包）可以为相同的 data 是否显示相同的信息？

（注意：在下面的图中，字体不必要太大或太大了较小，因此矩形等也可以将图倒置以获得更好的外观。）-这是主观的，但我很感谢任何建议！

  library（plotrix）
 
数据<-read.csv（'https://raw.githubusercontent.com/hkil/m/master/ z.csv'）
 
 sizetree（data [c（2,3,5）]）
  

解决方案

这是有根据的猜测。也许...

  X<-read.csv（url（ https://raw.githubusercontent.com/hkil /m/master/z.csv））
 
 energy<-jsonlite :: fromJSON（URL）
 
＃绘制
 sankeyNetwork（Links = energy $ scid，节点=能源$ group，源='源'，
目标='目标'，值='值'，NodeID ='名称'，
单位='TWh'，fontSize = 12 nodeWidth = 30）
 
＃颜色链接
 energy $ links $ energy_type<-sub（'。*'，''，
 energy $ nodes [energy $ links $ source + 1，'name']）
 
 sankeyNetwork（Links = energy $ links，Nodes = energy $ nodes，Source ='source'，
 Target ='target'，Value ='value '，NodeID ='名称'，
 LinkGroup ='energy_type'，NodeGroup = NULL）
  

请参阅li

https://www.rdocumentation.org/packages/networkD3/versions/0.4/topics/sankeyNetwork

I'm using sizetree() function from plotrix package to draw my data structure as a tree (see below) and it works just fine.

However, I was wondering if there might be another way (or a package) that would provide a more elegant tree plot of the same data with the same information displayed?

(Note: In the below plot, fonts are unnecessarily either too big or too small so are the rectangles etc. also may be the plot could be inverted to get a better look.)-- it's subjective but I appreciate any suggestion!

library(plotrix)

data <- read.csv('https://raw.githubusercontent.com/hkil/m/master/z.csv')

sizetree(data[c(2,3,5)])

解决方案

This is an educated guess. Maybe...

X <- read.csv(url("https://raw.githubusercontent.com/hkil/m/master/z.csv"))

energy <- jsonlite::fromJSON(URL)

# Plot
sankeyNetwork(Links = energy$scid, Nodes = energy$group, Source = 'source',
             Target = 'target', Value = 'value', NodeID = 'name',
             units = 'TWh', fontSize = 12, nodeWidth = 30)

# Colour links
energy$links$energy_type <- sub(' .*', '',
                               energy$nodes[energy$links$source + 1, 'name'])

sankeyNetwork(Links = energy$links, Nodes = energy$nodes, Source = 'source',
             Target = 'target', Value = 'value', NodeID = 'name',
             LinkGroup = 'energy_type', NodeGroup = NULL)

See the link below for reference.

https://www.rdocumentation.org/packages/networkD3/versions/0.4/topics/sankeyNetwork

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