R Language - Project for Statistical Computing

  •        1199

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, ...) and graphical techniques, and is highly extensible.

http://www.r-project.org/

Tags
Implementation
License
Platform

   




Related Projects

renjin - JVM-based interpreter for the R language for the statistical analysis.

  •    R

Renjin is a new interpreter for the R Language for Statistical Computing, built on the Java Virtual Machine.The primary goals of the project are to provide a modern interpreter that serves as a drop-in replacement for GNU-R, but is easier to integrate with other systems, offers better performance, and is more extensible.

Julia - Language for Technical Computing

  •    Julia

Julia is a high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to users of other technical computing environments. It provides a sophisticated compiler, distributed parallel execution, numerical accuracy, and an extensive mathematical function library. This computation is automatically distributed across all available compute nodes, and the result, reduced by summation (+), is returned at the calling node.

R.NET

  •    CSharp

R.NET enables .NET Framework to collaborate with R statistical computing. R.NET requires .NET Framework 4 and native DLLs installed with R environment. You need no other extra installations. Enjoy statistics and programming in your special language with R.

awesome-r-learning-resources - A curated collection of free resources to help deepen your understanding of the R programming language

  •    

The Awesome R Learning Resources repository is meant to help users from all skill levels and backgrounds deepen their understanding of R, which is a programming language and environment for statistical computing and graphics. Black Lives Matter. Please consider donating to Black Girls Code today. The racism and hate crimes toward Asian Americans must end. Please consider making a donation in support of Asian communites today.

learn-julia-the-hard-way - Learn Julia the hard way!

  •    Makefile

The Julia base package is pretty big, although at the same time, there are lots of other packages around to expand it with. The result is that on the whole, it is impossible to give a thorough overview of all that Julia can do in just a few brief exercises. Therefore, I had to adopt a little 'bias', or 'slant' if you please, in deciding what to focus on and what to ignore. Julia is a technical computing language, although it does have the capabilities of any general purpose language and you'd be hard-pressed to find tasks it's completely unsuitable for (although that does not mean it's the best or easiest choice for any of them). Julia was developed with the occasional reference to R, and with an avowed intent to improve upon R's clunkiness. R is a great language, but relatively slow, to the point that most people use it to rapid prototype, then implement the algorithm for production in Python or Java. Julia seeks to be as approachable as R but without the speed penalty.


rdotnet - .NET interop library to call the R statistical language in the same process

  •    CSharp

R.NET is an in-process bridge for the .NET Framework to access the R statistical language. R.NET works on Windows, Linux and MacOS. On Windows, R.NET requires .NET Framework 4.5.2 and an access to the native R libraries installed with the R environment. R needs not necessarily be installed as a software on the executing machine, so long as DLL files are accessible. On Linux and MacOS, Mono is required, as well as an access to the native R libraries.

RustBooks - List of Rust books

  •    

Welcome! This book will teach you about the Rust Programming Language. Rust is a systems programming language focused on three goals: safety, speed, and concurrency. It maintains these goals without having a garbage collector, making it a useful language for a number of use cases other languages aren’t good at: embedding in other languages, programs with specific space and time requirements, and writing low-level code, like device drivers and operating systems. It improves on current languages targeting this space by having a number of compile-time safety checks that produce no runtime overhead, while eliminating all data races. Rust also aims to achieve ‘zero-cost abstractions’ even though some of these abstractions feel like those of a high-level language. Even then, Rust still allows precise control like a low-level language would. This is Rust-101, a small tutorial for the Rust language. It is intended to be an interactive, hands-on course: I believe the only way to really learn a language is to write code in it, so you should be coding during the course. If you have any questions that are not answered here, check out the "Additional Resources" below. In particular, the IRC channel is filled with awesome people willing to help you! I spent lots of time there ;-) I will assume some familiarity with programming, and hence not explain the basic concepts common to most languages. Instead, I will focus on what makes Rust special.

gravity - Gravity Programming Language

  •    C

Gravity is a powerful, dynamically typed, lightweight, embeddable programming language written in C without any external dependencies (except for stdlib). It is a class-based concurrent scripting language with modern Swift-like syntax. Gravity supports procedural programming, object-oriented programming, functional programming and data-driven programming. Thanks to special built-in methods, it can also be used as a prototype-based programming language.

awesome - Awesome resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl) and miscellaneous stuff

  •    

Collection of useful resources on Bioinformatics, data science, machine learning, programming language (Python, Golang, R, Perl, etc.) and miscellaneous stuff.

kotlin - Statically Typed Programming Language for the JVM

  •    Java

Kotlin is a statically typed programming language that compiles to JVM byte codes and JavaScript. Java programming language has certain limitations and problems that are either impossible or very hard to fix due to backward-compatibility issues. This new statically typed JVM-targeted language free of the legacy has features include compilation at least as fast as Java, variable type inference, higher-order functions (closures), extension functions, code in interfaces, first-class delegation etc

Groovy - A dynamic language for the Java platform

  •    Java

Groovy is a powerful, optionally typed and dynamic language, with static-typing and static compilation capabilities, for the Java platform aimed at multiplying developers’ productivity thanks to a concise, familiar and easy to learn syntax. It integrates smoothly with any Java program, and immediately delivers to your application powerful features, including scripting capabilities, Domain-Specific Language authoring, runtime and compile-time meta-programming and functional programming.

Python - Programming Language

  •    C

Python is a remarkably powerful dynamic programming language that is used in a wide variety of application domains. It is embeddable within applications as a scripting interface. Build flexible data-driven code using Python's powerful and dynamic introspection capabilities and advanced language features such as meta-classes, duck typing and decorators.

sunpinyin - A statistical language model based Chinese input method

  •    C++

SunPinyin is an SLM (Statistical Language Model) based input method engine. To model the Chinese language, it uses a backoff bigram and trigram language model. Currently, SunPinyin 2.0 is available on IBus, SCIM, and as a standalone XIM Server.

IronPython - Python programming language for the .NET Framework

  •    CSharp

IronPython is an open-source implementation of the Python programming language which is tightly integrated with the .NET Framework. IronPython can use the .NET Framework and Python libraries, and other .NET languages can use Python code just as easily. It supports an interactive console with fully dynamic compilation.

gosu-lang - The Gosu programming language

  •    Gosu

Gosu is a pragmatic programming language for the JVM. It has been designed with Java developers in mind by providing a set of features that allow them to be more productive without sacrificing the benefits of static typing. Gosu is an object oriented language with a sprinkle of functional programming features. It was nominated Language of the Month in a Dr Dobb's article in 2011. You need Java JDK 1.8 and Maven 3.x to build Gosu. Set the JAVA_HOME environment variable to JDK 1.8's home.

Ruby - Programming Language

  •    C

A dynamic, open source programming language with a focus on simplicity and productivity. It has an elegant syntax that is natural to read and easy to write. The syntax inspired by Perl with Smalltalk-like features. It was also influenced by Eiffel and Lisp. It is a scripting language that is more powerful than Perl, and more object-oriented than Python.

Caledon - Logic Programming Language

  •    Haskell

Caledon is a dependently typed, polymorphic, higher order logic programming language. ie, everything you need to have a conversation with your computer. A language/system for conversing with the machine in a manner less one sided and instructional than regular programming. It is good at defining DSLs.

ElixirBooks - List of Elixir books

  •    

Official Elixir starting guide that will take you through the language foundations. You will also explore how to build projects with Mix and OTP, and it will introduce you to more advanvced techniques suchs as meta-programming. Adoption is more than programming. Elixir is an exciting new language, but to successfully get your application from start to finish, you’re going to need to know more than just the language. You need the case studies and strategies in this book. Learn the best practices for the whole life of your application, from design and team-building, to managing stakeholders, to deployment and monitoring. Go beyond the syntax and the tools to learn the techniques you need to develop your Elixir application from concept to production.

Jython - Python for the Java Platform

  •    Java

Jython is an implementation of the Python programming language written in Java. It supports Dynamic compilation to Java bytecodes. It has the ability to extend existing Java classes in Jython. It is an excellent embedded scripting language.






We have large collection of open source products. Follow the tags from Tag Cloud >>


Open source products are scattered around the web. Please provide information about the open source projects you own / you use. Add Projects.