可视化R函数依赖关系 [英] Visualizing R Function Dependencies

问题描述

对于想要显示程序包依赖性的人来说，有很多资源，但我特别感兴趣的是可视化程序包中的函数以及它们之间的依赖关系。有 miniCRAN 等工具可用于绘制程序包依赖关系，但是有什么可用来在程序包内绘制函数依赖关系？例如，假设我的包中只有两个函数。

  func1 < -  function（n）return（LETTERS [n]）
 func2 < -  function（n）return（func1（n %% 26 + 1））
  func2 的依赖关系。 code>在 func1 上。  
 
 
我认为这里有很多的软件包会有很多功能依赖，这样的实用程序可以帮助理解/组织/重构/等等。 
 
 
 
谢谢。
解决方案
在mvbutil软件包的foodweb函数的顶部）是通过datastorm构建的DependenciesGraph包 - 在Github上打开，在它们的更一般的 visNetwork 软件包。  
 
 
 
 
  DependenciesGraph ：用于包和函数之间的依赖关系可视化的R包
 
 
 
 
在我的示例中，我一直在可视化我自己的包以进行维护和发展，并对结果非常满意。  
 
 
  library（DependenciesGraph）
 library（QualtricsTools）＃我正在开发一个包
 deps< -  funDependencies（package：QualtricsTools，generate_split_coded_comments）
 plot（deps）
  
  
 
 
 
输出是一个web服务器（可以在RStudio的查看器中查看，也可以在单独的浏览器中查看），允许您通过下拉或点击选择特定的功能，放大和缩小，拖动它们等等。对我来说，这比使用基本R来绘制foodweb函数的输出要好得多，因为通常很难让文本看起来很好显示在每个节点的顶​​部，所有的边缘在foodweb图中都有不同的颜色，并且在我看来，基本的R绘图功能在很大程度上确保绘图的布局可读或清晰。 
 
 
 
与mvbutil的foodweb比较： 
 
 
  library（mvbutils）
 library（QualtricsTools）
 deps < -  foodweb（where =package：QualtricsTools，prune ='make_split_coded_comments'）
 plot（deps）
  
  
 
 
（抱歉，名称存在差异，它们实际上是相同的功能，我只是在重复这两个图之间重新命名了这个函数）。
 
There are a lot of resources for people who want to visualize package dependencies, but I'm interested specifically in visualizing functions within a package and their dependencies on one another. There are tools like miniCRAN for graphing package dependencies, but is there anything available to graph function dependencies within a package? 

For example, suppose I only have two functions in my package.
func1 <- function(n) return(LETTERS[n])
func2 <- function(n) return(func1(n%%26+1))
Then I would just want a graph with two labeled nodes and an edge connecting them, depicting the dependency of func2 on func1. 

I would think there are a lot of packages out there that have really hairy functional dependencies that such a utility could help in understanding/organizing/refactoring/etc. 

Thanks.
解决方案
I think a better option (built on top of the mvbutil package's foodweb functions) is the DependenciesGraph package built by datastorm-open on Github on top of their more general visNetwork package. 


DependenciesGraph : an R package for dependencies visualization between packages and functions


In my example, I have been visualizing my own package for maintenance and development and have been very pleased with the results. 
library(DependenciesGraph)
library(QualtricsTools) # A package I'm developing
deps <- funDependencies("package:QualtricsTools", "generate_split_coded_comments")
plot(deps)


The output is a web server (either viewed in RStudio's viewer or in a separate browser) that allows you to choose specific functions through a drop down or by clicking on them, to zoom in and out, to drag them around, and so forth. To me, this is much nicer than using base R to plot the output of the foodweb function because often it is difficult to get the text to look nice displayed on top of each node, all the edges are jarringly colored differently in a foodweb plot, and it doesn't appear to me that the base R plot functions are doing very much to ensure that the layout of the plot is readable or clear. 

A comparison against mvbutil's foodweb:
library(mvbutils)
library(QualtricsTools) 
deps <- foodweb(where="package:QualtricsTools", prune='make_split_coded_comments')
plot(deps)


(Sorry there's a discrepancy in the names, they really are the same function, I just happened to have renamed the function between making these two plots).

                        
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