语言 R 的基于网络的解释器 [英] web based interpreter for language R

问题描述

我正在寻找 R 语言的基于网络的解释器.更准确地说，我正在寻找像 http://codepad.org/ 这样的 IDE，我可以在其中提供代码和服务器应该执行并向我提供输出.

我使用了像 Rapache 这样的应用程序，但后来它们不符合我的要求，因为它们不能接受来自客户端的代码、执行它并提供结果.

简而言之，我可以找到接受用户输入的网络应用程序，执行特定的 R 脚本，然后以整齐的格式放置输出，而不是接受 R 代码的网络应用程序，执行它然后将其放入一种巧妙的方式.

解决方案

想到了一些可能性:

• ideone 提供了很多不同的语言，R 就是其中之一.当您运行脚本时，会为您提供一个链接，您可以将其嵌入到网页中(但不幸的是，该链接不显示输出).如果您创建了一个帐户，您还可以存储您之前运行的脚本.
  • 专业版:您可以轻松地将 /plain/ 插入到脚本中，并能够获取可直接在 R 中获取的 URL.例如，如果您的在线脚本的 URL 为http://ideone.com/PIkeD"，然后就可以使用source("http://ideone.com/plain/PIkeD") 直接从 ideone 服务器加载您的脚本.
  • 缺点:停留在 2.11 版 可能并不总是 R 的最新版本.目前是 3.2.2.无法安装其他软件包.输出未显示在提供的嵌入脚本中.
• Cloudstat 控制台运行更新版本的R (2.15.1) 有不少常用的包.它曾经有一个非常有趣的博客/笔记本界面，它集成了代码和输出，但目前似乎还没有.
  • Pro:对于在紧要关头运行相当简单的事情很有用.
  • 缺点:无法安装其他软件包.输出没有在代码块中格式化，因此不容易阅读.目前，无法保存或共享您运行的代码.
• Crunch 提供完整的 RStudio 设置，运行最新版本的 R，并且允许您安装所需的软件包.这可能比必须安装自己的 RStudio 服务器更方便.不过，您必须申请一个帐户.
  • 优点:几乎可以满足您对 R/RStudio 的所有期望.允许您使用 Sweave 和 R markdown 来自动创建文档.这些文档也可以公开托管.这是我在名为gallery"的公共文件夹中放置页面的示例:http://crunch.kmi.open.ac.uk/people/~mrdwab/gallery/howzat.html
  • 缺点:有时加载时间有点慢，但当我运行 RStudio 桌面时，我不知道 Crunch 与运行我自己的 RStudio 服务器相比如何.

<小时>

2014 年 1 月 10 日更新

最近，关于 R-Fiddle 的讨论也很有趣共享 R 代码的方式.看起来这就是强大的 http://www.rdocumentation.org/ 网站的动力.>

I am looking for a web based interpreter for the language R. To be more precise , i am looking for a IDE like http://codepad.org/ where i can provide the code and the server should execute and provide me with the output.

I went through applications like Rapache but then they don't fit my requirement as they are not made to accept code from client , execute it and provide the result.

In short , i could find web application which takes input from the user , execute a specific R script and then place the output in a neatly formated way but not a web application which accepts R code ,execute it and then place it in a neat way.

解决方案

A few possibilities come to mind:

• ideone provides a lot of different languages, of which, R is one of them. When you run a script, you are provided with a link that you can embed in a webpage (but which doesn't show the output, unfortunately). If you create an account, you can also store your previously run scripts.
  • Pro: You can easily insert /plain/ into your script and be able to get a URL that can be sourced directly in R. For example, if the URL for your script online is "http://ideone.com/PIkeD", then you can use source("http://ideone.com/plain/PIkeD") to load your script directly from the ideone servers.
  • Cons: Stuck at version 2.11 Might not always be the most current version of R. Presently at 3.2.2. Can't install other packages. Output doesn't show in the embed script provided.
• Cloudstat console runs a more recent version of R (2.15.1) with quite a few commonly used package. It used to have a really interesting blog/notebook interface that integrated code and the output, but that doesn't seem to be available at the moment.
  • Pro: Useful for running something fairly straightforward in a pinch.
  • Cons: Can't install other packages. Output is not formatted in code blocks, so is not easily readable. At the moment, can't save or share the code you've run.
• Crunch offers a full RStudio setup, runs the most recent version of R, and allows you to install the packages you need. This may be more convenient than having to install your own RStudio server. You do have to request an account though.
  • Pros: Pretty much all you would expect from R/RStudio. Allows you to use Sweave and R markdown to automatically create documents too. These documents can be publicly hosted too. Here's an example where I've placed a page in a public folder called "gallery": http://crunch.kmi.open.ac.uk/people/~mrdwab/gallery/howzat.html
  • Cons: Sometimes the loading time is a bit slow, but as I am running RStudio desktop, I don't know how Crunch compares to running my own RStudio server.

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Updated January 10, 2014

Recently, there has also been a decent amount of buzz around R-Fiddle as an interesting way to share R code. It looks like it is what powers the awesome http://www.rdocumentation.org/ site.

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