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R是一种面向统计学的开源编程语言和软件环境，它由语言，以及带调试器、绘图、系统函数访问和脚本的运行时环境组成。R语言在统计软件开发领域十分受欢迎，也是数据挖据的重要分析工具。R语言是贝尔实验室开发的S语言的一个实现。统计学家使用R多是通过命令行，但对于刚刚起步的新手来说命令行太复杂了，幸运的是，有许多图形用户界面可以让学习曲线变得更平些。Linuxlinks的这篇文章收集了七款优秀的R语言图形用户界面，帮助初学者快速进入R语言环境。包括：集成开发环境RStudio，Gnome环境下的R语言数据挖据工具Rattle，图形编程界面Red-R；Deducer，等等。 R is an open source programming language and software environment for statistical computing and graphics. It consists of a language together with a run-time environment with a debugger, graphics, access to system functions, and scripting. The R language is extremely popular for developing statistical software, and is also frequently used as an analysis tool amongst data miners. R is an implementation of the S programming language, developed by Bell Laboratories, adding lexical scoping semantics. R offers a wide variety of statistical and graphical techniques including time series analysis, linear and nonlinear modelling, classical statistical tests, classification, clustering, and more). Combined with a large collection of intermediate tools for data analysis, good data handling and storage, general matrix calculation toolbox, R offers a coherent and well developed system which is highly extensible. Many statisticians use R with the command line. However, the command line can be quite daunting to a beginner of R. Fortunately, there are many different graphical user interfaces available for R which help to flatten the learning curve. To provide an insight into the quality of software available for Linux, we have compiled a list of 7 of the best graphical user interfaces for R. Hopefully, there will be something of interest for anyone who wants to quickly get to grips with this programming language and environment. We give our highest recommendation to RStudio. Now, let's explore the 7 graphical user interfaces tools at hand. For each application we have compiled its own portal page, a full description with an in-depth analysis of its features, screenshots, together with links to relevant resources and reviews. Return to our complete collection of Group Tests, identifying the finest Linux software. We also recommend you check out the R-bloggers website, which offers a portal for R news and tutorials. |
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