使用r的异步网络IO：任何现有的软件包[已关闭](Asynchronous network IO using r: Any existing packages [closed])

使用r的异步网络IO：任何现有的软件包[已关闭](Asynchronous network IO using r: Any existing packages [closed])

是否有任何R-project软件包可以促进异步网络IO？ 我在这里认为是Ruby的Eventmachine或Python的Twisted。 如果有几个这样的软件包/库在以下方面是最好的： - 性能 - 特征

Are there any R-project packages that facilitate asynchronous network IO? I'm think here along the lines of Ruby's Eventmachine or Python's Twisted. If there are several such packages/libraries which is the best in terms of: - performance - features

最满意答案

首先，R是单线程的，因此通常人们会尝试使用并行计算方法（例如，参见雪包）。 我不认为有什么和Eventmachine或Twisted一样。

看看下面的内容：

“使用R进行并行计算的最新技术”论文描述了R中大多数并行计算的方法（ http://www.jstatsoft.org/v31/i01/paper ）。 HighPerformanceComputing视图中有许多有用的包： http ://cran.r-project.org/web/views/HighPerformanceComputing.html。 查看svSocket： http ://cran.r-project.org/web/packages/svSocket/ 您可以尝试在R中使用NetWorkSpaces： http ：//cran.r-project.org/web/packages/nws/。 有几个R服务器的例子。 RServe： http ://www.rforge.net/Rserve/ iBrokers软件包是我知道的使用异步请求的唯一软件包之一。 查看该软件包的源代码（可以从R-Forge下载）以及相关的小插件： http : //cran.r-project.org/web/packages/IBrokers/vignettes/RealTime.pdf biocep项目还包括许多相关功能： http ://biocep-distrib.r-forge.r-project.org/

First of all, R is single-threaded, so typically people try to use parallel computing approaches (see, for instance, the snow package). I don't think there's anything quite like Eventmachine or Twisted.

Check out the following:

The "State of the Art in Parallel Computing with R" paper describes most of the approaches to parallel computing in R (http://www.jstatsoft.org/v31/i01/paper). There are many useful packages in the HighPerformanceComputing view: http://cran.r-project.org/web/views/HighPerformanceComputing.html. Check out svSocket: http://cran.r-project.org/web/packages/svSocket/ You can try using NetWorkSpaces with R: http://cran.r-project.org/web/packages/nws/. There are several examples of R servers. RServe: http://www.rforge.net/Rserve/ The iBrokers packages is one of the only ones that I know which uses asynchonous requests. Have a look at the source code for that package (you can download it off R-Forge) and the related vignette: http://cran.r-project.org/web/packages/IBrokers/vignettes/RealTime.pdf The biocep project also includes many relevant features: http://biocep-distrib.r-forge.r-project.org/