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nerub val

R Programming/Introduction - Wikibooks, open books for an open world - 1 views

  • R is statistical software which is used for data analysis.
  • It includes a huge number of statistical procedures such as t-test, chi-square tests, standard linear models, instrumental variables estimation, local polynomial regressions, etc. It also provides high-level graphics
  • capabilities
  • ...14 more annotations...
  • R is an object oriented programming language. This means that virtually everything can be stored as an R object. Each object has a class. This class describes what the object contains and what each function does with it. For instance, plot(x) produces different outputs depending on whether x is a regression object or a vecto
  • The assignment symbol is "<-". Alternatively, the classical "=" symbol can be used.
  • Arguments are passed to functions inside round brackets (parentheses). One can easily combine functions. For instance you can directly type
  • The symbol "#" comments to the end of the line:
  • Commands are normally separated by a newline. If you want to put more than one statement on a line, you can use the ";" delimiter.
  • You can also have one statement on multiple lines. R is case sensitive: a and A are two different objects. Traditionally underscores "_" are not used in names. It is often better to use dots ".". One should avoid using an underscore as the first character of an object name.
  • Here are some things editors do to keep this book internally consistent. If you have something to contribute, go ahead and make your contribution. Other editors can touch up your edits afterwards so that they conform to the guidelines.
  • The local manual of style WB:LMOS for the R programming book, including a brief explanation of why we do it that way, is: Examples use "source" tags : <source lang="rsplus"> a <- 1:10 ; mean(a) </source>. That makes them look pretty to our readers. The name of packages are in bold  : '''Hmisc'''. Name of functions are in "code" tags: <code>lm()</code>. Page titles -- the part after "R Programming/" -- are in sentence case, like "R Programming/Working with data frames". We couldn't decide between sentence case and title case, so I flipped a coin. Every page has <noinclude>{{R Programming/Navigation}}</noinclude> at the top and {{R Programming/Navbar|Mathematics|Probability Distributions}} at the bottom. That makes it easier to navigate from one page to another online.
    • nerub val
       
      La lenguaje R es un software de estatisticas que hace analisis de los datos.
    • nerub val
       
      Las ventajas de la lenguaje R
    • nerub val
       
      las caracteristicas de la lenguaje R
    • nerub val
       
      Cómo podemos empezar a hacer un programa con esa lenguaje?
    • nerub val
       
      Aqui se exponen otras alternativas al lenguaje R. Y aconseja en la ultima parte cuales son los recomendados para cada nivel de dominio del lenguaje R
  • Beginners can have a look at GNU PSPP or Gretl. Intermediate users can check out Stata. Advanced users who like matrix programming may prefer MATLAB or Octave. Very advanced users may use C or Fortran.
corozo56

R Programming - Manuals - 0 views

  • Code Editors for R Several excellent code editors are available that provide functionalities like R syntax highlighting, auto code indenting and utilities to send code/functions to the R console. Basic code editors provided by Rguis RStudio: GUI-based IDE for R Vim-R-Tmux: R working environment based on vim and tmux Emacs (ESS add-on package) gedit and Rgedit RKWard Eclipse Tinn-R Notepad++ (NppToR) Programming in R using Vim or Emacs                                                              Programming in R using RStudio
    • teleco teleco
       
      Herramientas basicas para poder programar en R
    • practica5 empresas
       
      el contenido de esta pagina esta enfocado mas detalladamente , desde el punto de vista de la programacion con ejemplos de codigos ect....
  •  
    En esta página podemos ver varios ejemplos de programación en R, desde algunos muy simples a algunos algo más complejos.
Raúl Sarrión

R Programming - Manuals - 0 views

  • One of the main attractions of using the R
  • environment is the ease with which users can write their own programs and custom functions. The R programming syntax is extremely easy to learn,
  • Once the basic R programming control structures are understood
  • ...3 more annotations...
  • R language
  • perform complex custom analyses
    • Raúl Sarrión
       
      Creo que lo marcado dice mucho sobre el lenguaje. Simplemente nos dice que dicho lenguaje es muy fácil de comprender y de que una vez dominado el programador será capaz de organizar y gestionar grandes cantidades de datos.
  •  
    Manual muy completo sobre la programación y el lenguaje en R
Raúl Sarrión

The R programming language for programmers coming from other programming languages - 0 views

    • Raúl Sarrión
       
      He aquí otra página que aparte de darnos una introducción del legunaje R, nos enseña paso a paso sus símbolos y de cómo escribir y programar en dicho lenguaje. Otra anotación a tener en cuenta es que nos vuelve a repetir que es de muy fácil aprendizaje y de las ventajas de las que dispone
  • The language is actually fairly simple, but it is unconventional. These notes are intended to make the language easier to learn for someone used to more commonly used languages such as C++, Java, Perl, etc.
  • R is more than a programming language. It is an interactive environment for doing statistics
  • ...4 more annotations...
  • R is more than a programming language. It is an interactive environment for doing statistics.
  • The R language is the scripting language for the R environment,
    • Raúl Sarrión
       
      En esta página se da información útil cuando ya eres programador en otros lenguajes
  • This document is a work in progress. Corrections and comments are welcome.
    • Raúl Sarrión
       
      Hay que tener cuidado porque el documento está en desarrollo
    • Raúl Sarrión
       
      Se reciben comentarios de los usuarios
grupo empresa

Programming language R 3.0 gets long vectors - The H Open: News and Features - 0 views

    • grupo empresa
       
      La versión 3.0 de R ha sido lanzada recientemente, esta incluye numerosas mejoras y funcionalidades extra soportadas en más plataformas. Este es un lenguaje con mucha fama y uso en el sector del análisis estadístico ya que es sencillo de aprender incluso para personal amateur. Como ejemplo de su importancia vemos que incluso Google lo usa para analizar los datos con los que trabaja.
  • Version 3.0 of the R programming language, the software environment designed specifically for statistical calculations and graphing, has been released.
  • R is widely used by statisticians and data analysts, as it is simple to learn, even for non-programmers.
  • ...3 more annotations...
  • There are also around 5000 extension packages for R dedicated to performing specialised tasks.
  • R is also used by Google for data analysis.
    • vest monje
       
      El lenguaje R ha sacado su nueva versión 3.0 que incluye mejoras como la ampliación del rango de los vectores así como modificaciones que facilitan el uso de matrices y las operaciones matriciales.
grupo empresa

R programming - R language - R commander | R statistics - 0 views

    • grupo empresa
       
      el lenguaje de programación R, es un lenguaje con el los elementos gráficos y los algoritmos se relacionan perfectamente, esto hace que sea un lenguaje bastante intuitivo y muy útil a nivel práctico.
  • The R programming language is a populair and easy to use programming langauge used on combination with R commander. R provides a lot of statistical and graphical functions and it is highly extensible. The best thing about R is that it is easy to plot high quality graphics.
Enrique Diaz Romero

An Introduction to R - 1 views

    • nerub val
       
      las carateristicas generales de R
    • nerub val
       
      El desarrollo de R
  • R is an integrated suite of software facilities for data manipulation, calculation and graphical display. Among other things it has an effective data handling and storage facility, a suite of operators for calculations on arrays, in particular matrices, a large, coherent, integrated collection of intermediate tools for data analysis, graphical facilities for data analysis and display either directly at the computer or on hardcopy, and a well developed, simple and effective programming language (called ‘S’) which includes conditionals, loops, user defined recursive functions and input and output facilities. (Indeed most of the system supplied functions are themselves written in the S language.)
    • Enrique Diaz Romero
       
      El entorno de R entre otras cosas nos permite el uso y almacenamiento eficaz de datos, así como su análisis en forma de matrices, un gran numero de herramientas graficas y un lenguaje claro y sencillo de programación en el que podemos encontrar un gran numero de funciones.
  • ...4 more annotations...
  • his section presumes the reader has some familiarity with statistical methodology, in particular with regression analysis and the analysis of variance. Later we make some rather more ambitious presumptions, namely that something is known about generalized linear models and nonlinear regression. The requirements for fitting statistical models are sufficiently well defined to make it possible to construct general tools that apply in a broad spectrum of problems. R provides an interlocking suite of facilities that make fitting statistical models very simple. As we mention in the introduction, the basic output is minimal, and one needs to ask for the details by calling extractor functions.
  • When you use the R program it issues a prompt when it expects input commands. The default prompt is ‘>’, which on UNIX might be the same as the shell prompt, and so it may appear that nothing is happening. However, as we shall see, it is easy to change to a different R prompt if you wish. We will assume that the UNIX shell prompt is ‘$’.
  • R can be regarded as an implementation of the S language which was developed at Bell Laboratories by Rick Becker, John Chambers and Allan Wilks, and also forms the basis of the S-Plus systems. The evolution of the S language is characterized by four books by John Chambers and coauthors. For R, the basic reference is The New S Language: A Programming Environment for Data Analysis and Graphics by Richard A. Becker, John M. Chambers and Allan R. Wilks. The new features of the 1991 release of S are covered in Statistical Models in S edited by John M. Chambers and Trevor J. Hastie. The formal methods and classes of the methods package are based on those described in Programming with Data by John M. Chambers. See References, for precise references. There are now a number of books which describe how to use R for data analysis and statistics, and documentation for S/S-Plus can typically be used with R, keeping the differences between the S implementations in mind. See What documentation exists for R?.
  • R (“GNU S”), a language and environment for statistical computing and graphics. R is similar to the award-winning1 S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques
    • Enrique Diaz Romero
       
      ¿Que es R y de donde viene? R nos lo presentan como un lenguaje y entorno que desciende del reconocido sistema S desarrollado por los laboratorios Bell, y que nos ofrece una serie de técnicas u herramientas para el análisis estadístico y gráfico
  •  
    Introducción completa al lenguaje R de programación para análisis de datos estadísticos.
Raúl Sarrión

R Language Definition - 1 views

  • R is a system for statistical computation and graphics. It provides, among other things, a programming language, high level graphics, interfaces to other languages and debugging facilities.
  • The R language is a dialect of S which was designed in the 1980s
  • Its principal designer,
  • ...11 more annotations...
  • was awarded the 1998 ACM Software Systems Award for S.
  • The language syntax has a superficial similarity with C, but the semantics are
  • variety with stronger affinities with Lisp and APL.
  • It is possible to get quite far using R interactively, executing simple expressions from the command line.
  • Some users may never need to go beyond that level
  • The design of the language contains a number of fine points and common pitfalls which may surprise the user.
  • In some cases, there are multiple ways of performing a task, but some of the techniques will rely on the language implementation, and others work at a higher level of abstraction. In such cases we shall indicate the preferred usage.
  • R does not provide direct access to the computer's memory but rather provides a number of specialized data structures we will refer to as objects.
  • In R, however, the symbols are themselves objects and can be manipulated in the same way as any other object. This is different from many other languages and has wide ranging effects.
  • This is an introduction to the R language, explaining evaluation, parsing, object oriented programming, computing on the language, and so forth.
    • Raúl Sarrión
       
      En esta pagina se entiende el lenguaje R como un dialecto de S. Este lenguaje R sirve tanto para programacion, como para crear graficas de alto nivel de dificultad... Tambien nos da una breve explicacion sobre algunos de los comandos usados para R tanto como parte de la gramatica del lenguaje mismo.
    • Raúl Sarrión
       
      hola
  •  
    Una explicación mas extensa sobre el lenguaje R
Sébastien Sanchez

R, the Software, Finds Fans in Data Analysts - NYTimes.com - 0 views

  • While it is difficult to calculate exactly how many people use R, those most familiar with the software estimate that close to 250,000 people work with it regularly.
    • corozo56
       
      Actualmente el número de usuarios esta creciendo exponencialmente.
  • “R is a real demonstration of the power of collaboration, and I don’t think you could construct something like this any other way,” Mr. Ihaka said. “We could have chosen to be commercial, and we would have sold five copies of the software.”
  • Data Analysts Captivated by R’s Power
    • corozo56
       
      Este artículo del NYTimes explica el origen y la utilidad del lenguaje de programacion en R.
  • ...12 more annotations...
    • Sébastien Sanchez
       
      Artículo en NYTimes que habla de la creciente implantación del lenguaje de programación R en el ámbito empresarial. Explica como cada vez más, grandes empresas como Google empiezan a emplear este lenguaje de programación para todo tipo de propósitos (investigación comercial, data mining…).
  • Open-source software is free for anyone to use and modify
  • an improve
  • R is similar to other programming languages
  • R is particularly useful because it contains a number of built-in mechanisms for organizing data, running calculations on the information and creating graphical representations of data sets.
  • For statisticians
  • R is also the name of a popular programming language used by a growing number of data analysts inside corporations and academia
  • statisticians, engineers and scientists can improve the software’s code or write variations for specific tasks
  • software’s
  • Packages written for R add advanced algorithms, colored and textured graphs and mining techniques to dig deeper into databases
  • While it is difficult to calculate exactly how many people use R, those most familiar with the software estimate that close to 250,000 people work with it regularly
  • “R is a real demonstration of the power of collaboration, and I don’t think you could construct something like this any other way,” Mr. Ihaka said. “We could have chosen to be commercial, and we would have sold five copies of the software.”
grupo empresa

Rise of Open and Free R Language : Target  Health  Global - 0 views

    • grupo empresa
       
      R desde 2011 esta creciendo a un ritmo muy rápido, sobrepasando los principales lenguajes como MATLAB o SAS, esto es importante ya que R es un leguaje freeware. Una de las razones de su crecimiento es que tiene características únicas como la computación en paralelo, que permite juntar los recursos de varias CPU's sin tener que limitarse a las velocidades de reloj impuestas por los factores tecnológicos.
  • Started as an open source programming language for data analysis, its popularity and use is spreading to major companies as diverse as Pfizer, Merck, Google, Shell, and Bank of America.
  • R programming language offers something that most of current languages do not support well, parallelism. With a package named “SNOW”, R can take advantage of multiple cores in the CPU. Due to the limitation in increasing CPU’s clock speed, Intel and AMD are stuffing more cores into the processors. There aren’t many software in the market that can take advantage of this, but R is.
nerub val

R FAQ - 0 views

  • The “Comprehensive R Archive Network” (CRAN) is a collection of sites which carry identical material, consisting of the R distribution(s), the contributed extensions, documentation for R, and binaries
  • he CRAN master site at TU Wien, Austria, can be found at the URL http://cran.R-project.org/ Daily mirrors are available at URLs including
  • R is a system for statistical computation and graphics
  • ...27 more annotations...
  • s very similar in appearance to S, the underlying implementation and semantics are derived from Scheme
  • antics are derive
  • mantics are derived
  • It is possible for the user to interface to procedures written in the C, C++, or FORTRAN languages for efficiency.
  • R was initially written by Ross Ihaka and Robert Gentleman
  • Since mid-1997 there has been a core group (the “R Core Team”) who can modify the R source code archive. The group currently consists of Doug Bates, John Chambers, Peter Dalgaard, Robert Gentleman, Kurt Hornik, Stefano Iacus, Ross Ihaka, Friedrich Leisch, Thomas Lumley, Martin Maechler, Duncan Murdoch, Paul Murrell, Martyn Plummer, Brian Ripley, Duncan Temple Lang, Luke Tierney, and Simon Urbanek.
  • R is being developed for the Unix, Windows and Mac
    • nerub val
       
      funciona en mac windows y unix
    • nerub val
       
      colaboradores en el desarrollo asta 1997
    • nerub val
       
      creadores del lenguaje c
  • Sources, binaries and documentation for R can be obtained via CRAN, the “Comprehensive R Archive Network” (see What is CRAN?)
  • How can R be installed (Macintosh) Next: How can R be installed (Windows), Previous: How can R be installed?, Up: How can R be installed?
    • nerub val
       
      como instalarlo en linux windows y mac
  • Printed copies of the R reference manual for some version(s) are available from Network Theory Ltd, at http://www.network-theory.co.uk/R/base/. For each set of manuals sold, the publisher donates USD 10 to the R Foundation (see What is the R Foundation?).
    • nerub val
       
      manual de referencia de r
    • nerub val
       
      publicado en papel
  • The R distribution also comes with the following manuals. “An Introduction to R” (R-intro) includes information on data types, programming elements, statistical modeling and graphics. This document is based on the “Notes on S-Plus” by Bill Venables and David Smith. “Writing R Extensions” (R-exts) currently describes the process of creating R add-on packages, writing R documentation, R's system and foreign language interfaces, and the R API. “R Data Import/Export” (R-data) is a guide to importing and exporting data to and from R. “The R Language Definition” (R-lang), a first version of the “Kernighan & Ritchie of R”, explains evaluation, parsing, object oriented programming, computing on the language, and so forth. “R Installation and Administration” (R-admin).
    • nerub val
       
      servidores desde conde descargar diferentes paquetes de r
  • It is the opinion of the R Core Team that one can use R for commercial purposes (e.g., in business or in consulting). The GPL, like all Open Source licenses, permits all and any use of the package. It only restricts distribution of R or of other programs containing code from R. This is made clear in clause 6 (“No Discrimination Against Fields of Endeavor”) of the Open Source Definition:
    • nerub val
       
      r es de libre uso, solo esta restringida su distrubucion.
  • The name is partly based on the (first) names of the first two R authors (Robert Gentleman and Ross Ihaka),
    • nerub val
       
      razon del nombre
  • 3.3.1 Lexical scoping
    • nerub val
       
      a partir de aqui hay especificaciones tecnicas del lexico de r
  • Web Interfaces
    • nerub val
       
      proyectos relacionados con r
  • 5.1 Which add-on packages exist for R?
    • nerub val
       
      a partir de aqui estan muchos de los paquetes y que contienen para r.
David Moya

What is R? | inside-R | A Community Site for R - 1 views

    • Carlos Espinosa
       
      R desallorador de análisis estadístico siendo sus principales funciones la manipulación de datos,modelo estadístico y un abanico de funciones del análisis de datos que necesites.R es una comunidad on-line abierta en crecimiento.
    • David Moya
       
      R es usado sobretodo para crear programas que realicen estadisticas, ya que fue creado para ello principalmente. Con el se pueden hacer análisis estadísticos, predicciónes, modelos... Tiene herramientas que permiten usar poco código para programar estas estadisticas y modelos. Además es un proyecto libre por lo que puedes tener acceso al código fuente y mejorarlo. Gracias a esto y a la gran comunidad que tiene, actualmente es de una gran calidad y tiene disponibles varios "add-on packages".
  • R is data analysis software: data scientists, statisticians, analysts, quants, and others who need to make sense of data use R for statistical analysis, data visualization, and predictive modeling.
  • ...7 more annotations...
  • R is a programming language: you do data analysis in R by writing scripts and functions in the R programming language. R is a complete, interactive, object-oriented language: designed by statisticians, for statisticians.
  • Complete data analyses can often be represented in just a few lines of code.
  • R is an environment for statistical analysis: Available in the R language are functions for virtually every data manipulation, statistical model, or chart that the data analyst could ever need. Not only are all the "standard" methods available, but because most cutting-edge research in statistics and predictive modeling is done in R, the latest techniques are usually available first in the R system.
  • R is an open-source software project
  • you can download and use R for free, but the source code is also open for inspection and modification to anyone who wants to see how the methods and algorithms work under the covers.
  • R has benefited for over 15 years from the "many-eyes" approach to code improvement, and as a result has an extremely high standard of quality and numerical accuracy.
  • R was first created by Ross Ihaka and Robert Gentleman at the University of Auckland in 1993, and since then the project leadership has grown to include more than 20 leading statisticians and computer scientists from around the world. In addition, thousands of others have contributed additional functionality to the R language by creating add-on "packages" for use by the 2 million users of R worldwide.
Juanjo Cristian

R, the Software, Finds Fans in Data Analysts - NYTimes.com - 0 views

  • R describe it  as a supercharged version of  Microsoft’s Excel
  • R describe it  as a supercharged version of Microsoft’s Excel
  • R describe it  as a supercharged version of Microsoft’s Excel
  • ...26 more annotations...
  • R describe it  as a supercharged version of  Microsoft’s Excel
  • R describe it  as a supercharged version of
  • R describe it  as a supercharged version of  Microsoft’s Excel
  • R describe it  as a supercharged version of  Microsoft’s Excel
  • R describe it  as a supercharged version of  Microsoft’s Excel
  • is particularly useful because it contains a number of built-in mechanisms for organizing data, running calculations on the information and creating graphical representations of data sets.
  • familiar
  • familiar
  • It allows statisticians to do very intricate and complicated analyses without knowing the blood and guts of computing systems.”
  • It is also free.
  • R is an open-source program, and its popularity reflects a shift in the type of software used inside corporations
  • R is similar to other programming languages, like C, Java and Perl, in that it helps people perform a wide variety of computing tasks by giving them access to various commands.
  • R describe it  as a supercharged version of Microsoft’s Excel
  • Excel
  • Microsoft’s
  • version
  • supercharged
  • Some people familiar with R describe it
  • familiar
  • R first appeared in 1996, when the statistics professors Ross Ihaka and Robert Gentleman of the University of Auckland in New Zealand released the code as a free software package.
  • The popularity of R at universities could threaten SAS Institute, the privately held business software company that specializes in data analysis software. SAS, with more than $2 billion in annual revenue, has been the preferred tool of scholars and corporate managers.
  • Google, for example, taps R for help understanding trends in ad pricing and for illuminating patterns in the search data it collects.
  • Pfizer has created customized packages for R to let its scientists manipulate their own data during nonclinical drug studies rather than send the information off to a statistician.
  • Mr. Gentleman is applying R-based software, called Bioconductor, in work he is doing on computational biology at the Fred Hutchinson Cancer Research Center in Seattle.
    • Sébastien Sanchez
       
      Artículo en NYTimes que habla de la creciente implantación del lenguaje de programación R en el ámbito empresarial. Explica como cada vez más, grandes empresas como Google empiezan a emplear este lenguaje de programación para todo tipo de propósitos (investigación comercial, data mining…).
    • Juanjo Cristian
       
      El lenguaje de programación R ha cautivado a gran parte de los analistas de datos debido a su potencial en el ámbito de la estadística especialmente. También es usado por grandes empresas como Google o Bank of America y por estadistas y científicos.
  •  
    Se trata de un artículo del New York Times en el que describe la historia del lenguaje y diferentes empresas que lo utilizan y los usos que le dan, como Google y Pfizer.
Joan Bono

Programming in R - 0 views

    • Joan Bono
       
      Muy interesante página para aprender las claves del languaje R
  • You can also construct vectors
  • Conditionnal statements:
  • ...7 more annotations...
  • Conditionnals may be used inside other constructions.
  • While loop
  • Switch
  • For loop
  • Actually, R is a programming language
  • Repeat loop
  • R belongs to the family of functionnal languages
Sébastien Sanchez

R Is Hot: The New Global Statistics Language R - Revolution Analytics - 1 views

    • Borja Herrero
       
      R es lenguaje de programación utilizado para procesar grandes bases de datos, por ejemplo; predicción de analisis, sistemas de decisión.
    • Borja Herrero
       
      El lenguaje R se va convirtiendo en algo indispensable para una empresa y poco a poco se va extendiendo en el mercado, ya que innova y se desarrolla de forma continua, convrtiendose en una herramienta muy util.
    • Sébastien Sanchez
       
      Explicación del porqué la programación R se ha hecho tan popular y revolucionaria. Resumen de las propiedades más destacadas de R y de quien se aprovecha de sus beneficios únicos.
  • ...7 more annotations...
  • R is a full-fledged programming language with a radically different approach to processing large and complex datasets
  • R also offers benefits to companies trying to reduce their software expenditures with enterprise software vendors such as SAS and SPSS.
  • R community develops and releases new software continuously
  • R is especially useful for quickly and easily generating charts and graphics
  • R allows
  • to create high-quality charts and graphs
  • R allowed them to effectively communicate their analytic results in ways that were easily understood by non-technical audiences
vest monje

An overview of GNU R programming language - LinuxCareer's Documentation - 0 views

    • vest monje
       
      Esta página hace una introducción a la programación en lenguaje R de una forma esquemática por lo que resulta útil. También incluye muchos ejemplos que ayudan a comprender la estructura del lenguaje. El único inconveniente que presenta es que está explicado basándose en la suposición de que el lector tiene conocimientos previos sobre programación.
David Moya

José Luis Cárcel - 0 views

    • David Moya
       
      El lenguaje R es capaz de trabajar con archivos de texto y binarios. Además posee conectividad con bases de datos como son MySQL y Oracle.
    • David Moya
       
      R es capaz de trabajar con funciones definidas por el usuario y funciones recursivas. Además hace uso de estructuras de control y trabaja con vectores, matrices, escalares o listas.
    • David Moya
       
      Además también podemos hacer uso de operadores relacionales y lógicos, y podemos integrar archivos o complementos en otros lenguajes de programación como son C o JAVA.
  • ...22 more annotations...
    • David Moya
       
      En R podemos hacer uso de un compilador, entorno gráfico, una librería de métodos y objetos, y de un apartado de estadísticas.
  • text files (r/w)
  • text files (r/w)
  • binary files (r/w)
  • MySQL
  • Oracle
  • user defined functions
  • recursive functions
  • conditional execution: if conditional execution with alternative: if else looping: for, while, repeat
  • Arrays
  • Vectors
  • Matrices
  • Lists
  • factors
  • Equal to / not equal to <, >, <=, >=
  • graphics - R functions for base graphics.
  • is missing logical AND, OR and NOT
  • Web services *
  • compiler - R byte code compiler (added in R 2.13.0).
  • C JAVA
  • methods - Formally defined methods and classes for R objects, plus other programming tools, as described in the Green Book.
  • stats - R statistical functions.
Juanjo Cristian

Bringing R Programming into the Enterprise | Blogs | ITBusinessEdge.com - 1 views

    • Antonio Legaz
       
      El lenguaje R representa una alternativa gratuita a otros lenguajes como SAS o SPSS cuyo coste no puede ser afrontado por algunas empresas.
    • Juanjo Cristian
       
      Cada vez más empresas están incorporando R en el análisis de datos, en vez de otros entornos de programación estadística como SAS o SPSS. Como parte de un esfuerzo para incrementar este uso en empresas, se ha añadido un soporte de fuentes de "grandes datos" y se espera añadir interfaz gráfica de usuario para hacerlo más accesible
practica5 empresas

Introduction to R Programming Online Course: (Day 1 of 16; Part 1 of 8) - YouTube - 0 views

    • practica5 empresas
       
      es un canal interesante donde se explica detalladamente la programacion en R.
  • Publicado el 10/10/2012 Introduction to R Programming is an open enrollment, live, interactive online course offered by the non-profit Georgia R School (http://georgia-r-school.org). All of the videos associated with this
  • Thanks for theþff resource!
  • ...1 more annotation...
  • Great resource for R beginners! Thanks!
Antoino Martinez Vila

The R programming language for programmers coming from other programming languages - 0 views

    • Antoino Martinez Vila
       
      Es una opinión que nos da una persona a cerca del lenguaje R, dice que a programado en muchisimos lenguajes pero que el que mas le a costado enseñarse a sido R. El lenguaje es parecido a C. Afirma que el lenguaje R es mas que un lenguaje de programación.
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