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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 describe it  as a supercharged version of Microsoft’s Excel
  • 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.
  • Excel
  • Microsoft’s
  • version
  • supercharged
  • Some people familiar with R describe it
  • familiar
  • 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.
  • 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.
  • 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.
    • 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.
viinjo A1c

Oracle launches Advanced Analytics for R modeling language | Business Intelligence - In... - 0 views

  • It's available as an Oracle 11g database option and costs $23,000 per processor license.
    • viinjo A1c
       
      Oracle además de desarollar programas sobre R, también los comercializa, obteniendo un beneficio de ello.
  • It's not surprising that Oracle has moved to support R, which "has become a real ubiquitous force in advanced analytics," said Forrester Research analyst James Kobielus. "It's everywhere. Enterprise adoption of it has been growing steadily. When we ask our customers what they're using for statistical modeling they'll say SAS or [IBM's] SPSS, but they increasingly say R in the same breath."
    • viinjo A1c
       
      Oracle reafirma el uso en aumento del lenguaje R entre sus clientes
  • It's not surprising that Oracle has moved to support R, which "has become a real ubiquitous force in advanced analytics," said Forrester Research analyst James Kobielus. "It's everywhere. Enterprise adoption of it has been growing steadily. When we ask our customers what they're using for statistical modeling they'll say SAS or [IBM's] SPSS, but they increasingly say R in the same breath."
  • ...6 more annotations...
  • It's not surprising that Oracle has moved to support R, which "has become a real ubiquitous force in advanced analytics," said Forrester Research analyst James Kobielus. "It's everywhere. Enterprise adoption of it has been growing steadily. When we ask our customers what they're using for statistical modeling they'll say SAS or [IBM's] SPSS, but they increasingly say R in the same breath."
  • adoption
  • It's not surprising that Oracle has moved to support R, which "has become a real ubiquitous force in advanced analytics," said Forrester Research analyst James Kobielus. "It's everywhere. Enterprise adoption of it has been growing steadily. When we ask our customers what they're using for statistical modeling they'll say SAS or [IBM's] SPSS, but they increasingly say R in the same breath."
  • It's not surprising that Oracle has moved to support R, which "has become a real ubiquitous force in advanced analytics," said Forrester Research analyst James Kobielus. "It's everywhere. Enterprise adoption of it has been growing steadily. When we ask our customers what they're using for statistical modeling they'll say SAS or [IBM's] SPSS, but they increasingly say R in the same breath."
  • It's available as an Oracle 11g database option and costs $23,000 per processor license.
    • viinjo A1c
       
      Oracle además de desarollar programas sobre R, también los comercializa, obteniendo un beneficio de ello.  Oracle reafirma el uso en aumento del lenguaje R entre sus clientes
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".
  • Complete data analyses can often be represented in just a few lines of code.
  • ...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.
  • 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.
  • 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 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 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 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.
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.
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.
LaRuPu upv

Statistical Computing with R: A tutorial - 0 views

  • R is a software package especially suitable for data analysis and graphical representation
  • is not particularly efficient in handling large data sets
  • Students can quickly grasp the role of outliers and influential points in a simple linear regression
    • LuCla EdPa
       
      No es eficiente manejando bases de datos grandes
  • ...9 more annotations...
  • R can be used as an ordinary calculator
    • LuCla EdPa
       
      Fácil manejo, se puede interactuar con expresiones simples
  • > 2 + 3 * 5      # Note the order of operations. > log (10)       # Natural logarithm with base e=2.718282 > 4^2            # 4 raised to the second power > 3/2            # Division > sqrt (16)      # Square root > abs (3-7)      # Absolute value of 3-7 > pi             # The mysterious number > exp(2)         # exponential function > 15 %/% 4       # This is the integer divide operation > # This is a comment line
    • LuCla EdPa
       
      Al igual que Matlab, puede usarse como una potente calculadora
  • x<- log(2.843432) *pi
    • LuCla EdPa
       
      Ejemplos
  • R can handle complex numbers, too.
    • LuCla EdPa
       
      Para fijar valores a variables, usamos '
  • Important note: since there are many built-in functions in R, make sure that the new object names you assign are not already used by the system. A simple way of checking this is to type in the name you want to use. If the system returns an error message telling you that such object is not found, it is safe to use the name. For example, c (for concatenate) is a built-in function used to combine elements so NEVER assign an object to c!
    • LuCla EdPa
       
      También admite el uso de números complejos
  • Character vector:
    • LuCla EdPa
       
      Al igual que en los lenguajes de programación no puedes poner una variable con nombre de función, en R no puedes asignar una variable con nombre de objeto
  • Note that m1*m2 is NOT the usual matrix multiplication. To do the matrix multiplication, you should use %*% operator instead
    • LuCla EdPa
       
      Vectores de caracteres
  • 2.4 Finding roots: a simple example
    • LuCla EdPa
       
      Para multiplicar matrices, usamos %*%
  • R is a software package especially suitable for data analysis and graphical representation. Functions and results of analysis are all stored as objects, allowing easy function modification and model building. R provides the language, tool, and environment in one convenient package. It is very flexible and highly customizable. Excellent graphical tools make R an ideal environment for EDA (Exploratory Data Analysis). Since most high level functions are written in R language itself, you can learn the language by studying the function code.
    • LuCla EdPa
       
      La información que ya hemos adquirido es suficiente para tener una idea del funcionamiento de R, omitimos el resto
  •  
    Ejemplos gráficos y explicación matemática de lo que es capaz de hacer R
  •  
    uso de R para crear estadisticas y graficos en este caso en la industria del automovil.
viinjo A1c

Revolution Analytics Rides R Language into Mainstream Business | - 0 views

    • diigo lemon
       
      Revolution Analytics es un proveedor comercial de software y servicios relacionados con el lenguaje R. Es un lenguaje de programación basado en estadística que tiene muchos usuarios. Las empresas están recogiendo enormes cantidades de datos, pero a menudo no pueden analizar los mismos debido a problemas de escala. Revolution Analytics ayuda a afrontar estos problemas mediante un nuevo enfoque. "Revolution R" proporciona velocidad y escala en el análisis de grandes datos.
  • Revolution Analytics provides value by taking the most recent release from the R community and adding scalability and other functionality so that R can be implemented and seamlessly work in a commercial environment. Revolution R provides a development environment so that data scientists can write and debug R code more effectively, and web service APIs that integrate with other BI tools and dashboards so that R can work with business intelligence tools and visual discovery tools. In addition, Revolution Analytics makes money through professional and support services.
    • viinjo A1c
       
      Miestra como una empresa puede ofrecer un servicio basado en R como producto.
  • For example, IBM’s PureData System for Analytics (IBM’s new name for its MPP Netezza appliance) uses the in-database approach with an R instance running on each processing unit in the database, each of which is connected to an R server via ODBC. The analytics are invoked as the data is served up to the processor such that the algorithms run in parallel across all of the data.
    • viinjo A1c
       
      Ejemplo de uso del lenguaje R en servidores de IBM
  • ...1 more annotation...
  • I’ve heard that Revolution R isn’t always the easiest software to use and that the experience isn’t exactly seamless, but it can be argued that in the cutting-edge field of big data analytics a challenging environment is to be expected. If Revolution Analytics can address some of these useability challenges, it may find its pie growing even faster than it is now. Regardless, I anticipate that Revolution Analytics will continue its fast growth (already its headcount is doubling year-over-year). Furthermore, I anticipate that in-database analytics (an area where R really shines) will become the de-facto approach to big data analytics and that companies that take full advantage of that trend will reap benefits.
    • viinjo A1c
       
      Predice un buen futuro para el lenguaje R, así que todo y que sea un entorno difícil es algo que se puede esperar en el análisis de grandes volúmenes.
  •  
    FALTA TERMINARLO!!
LaRuPu upv

Applications of R in Business Competition - 0 views

  • Here at Revolution Analytics, we’d like to thank all of the data scientists who participated in our first R in Business competition and congratulate the winners. Each of the applications selected demonstrates how predictive analytics with R goes well beyond traditional business intelligence to empower business decision-makers to evaluate critical success factors within important business processes early and often. We see from the winning entries that a wide variety of industries and processes – from marketing, heavy manufacturing, clinical trial design, and IT project management all share a need for ongoing predictive analysis. Revolution Analytics delivers the only R-based enterprise analytics framework, and by examining undiscovered applications of the R language, Revolution Analytics can further refine R tools to meet all organizations’ deep analysis needs.
  • Learn more about the winning entries in the slide show below:
  •  
    Concurso en el que surgen diferente aplicaciones en R para realizar programas que creen predicciones que apoyen las decisiones de negocios.
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
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
       
      creadores del lenguaje c
    • nerub val
       
      colaboradores en el desarrollo asta 1997
  • 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.
Antoino Martinez Vila

Preguntas Frecuentes sobre el lenguaje R - 1 views

    • Antoino Martinez Vila
       
      Preguntas Frecuentes acerca del lenguaje de programacion R.
  • Can I use R for commercial purposes?
  • R is released under the GNU General Public License (GPL) version 2. If you have any questions regarding the legality of using R in any particular situation you should bring it up with your legal counsel. We are in no position to offer legal advice. 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:
  • ...2 more annotations...
  • Why is R named R?
  • The name is partly based on the (first) names of the first two R authors (Robert Gentleman and Ross Ihaka), and partly a play on the name of the Bell Labs language `S'
  •  
    Este documento contiene respuestas a algunas de las preguntas más frecuentes acerca de R.
Alpha Teleco

R Tutorial Series: Basic Polynomial Regression | (R news & tutorials) - 0 views

    • Alpha Teleco
       
      Tutorial regresión no lineal basica en R.
  • Polynomial regression can be used to explore a predictor at different levels of curvilinearity.
  • This tutorial will demonstrate how polynomial regression can be used in a hierarchical fashion to best represent a dataset in R.
  • ...24 more annotations...
  • Scatterplot
    • Alpha Teleco
       
      El grafico de dispersion demuestra que estos datos pueden no ser lineales.
  • The preceding scatterplot demonstrates that these data may not be linear.
    • Alpha Teleco
       
      Como crear variables de orden lineal, cuadratico y cubico.
  • Creating The Higher Order Variables
  • In this tutorial, we will explore the a linear, quadratic, and cubic model.
    • Alpha Teleco
       
      Paso 1: centrar la variable, restando la media de cada punto y guardando el resultado en una nueva variable de R.
  • Step 1: Centering
  • To center a variable, simply subtract its mean from each data point and save the result into a new R variable, as demonstrated below.
    • Alpha Teleco
       
      Paso 2: Crear los terminos de orden superior multiplicando la variable creada por si misma y guardando el resultado en una nueva variable.
    • Alpha Teleco
       
      Crear los modelos lineales y no lineales.
  • Once the input variable has been centered, the higher order terms can be created.
  • we can simply multiply our centered term from step one and save the result into a new R variable, as demonstrated below.
  • Step 2: Multiplication
  • Creating The Models
  • Now we have all of the pieces necessary to assemble our linear and curvilinear models.
    • Alpha Teleco
       
      Evaluar los modelos y compararlos, en el ejemplo se observa que no ha una diferencia significativa entre los tres modelos.
  • Evaluating The Models
  • In this case, the quadratic and cubic terms are not statistically significant themselves nor are their models statistically significant beyond the linear model.
    • Alpha Teleco
       
      A traves de los modelos que hay en este tutorial se pueden crear modelos muy complejos, utilizando las mismas sencillas tecnicas de este tutorial.
  • it can be helpful to summarize and compare our potential models using the summary(MODEL) and anova(MODEL1, MODEL2,… MODELi) functions.
  • More On Interactions, Polynomials, and HLR
  • The regression topics covered in these tutorials can be mixed and matched to create exceedingly complex models.
  • The good news is that more complex models can be created using the same techniques covered here. The basic principles remain the same.
  •  
    Tutorial
Caballo Loco

Evaluating the Design of the R Language | Lambda the Ultimate - 0 views

    • Caballo Loco
       
      descripción más detallada del lenguaje y experiencias usándolo.
  • R comes equipped with a rather unlikely mix of features. In a nutshell, R is a dynamic language in the spirit of Scheme or JavaScript, but where the basic data type is the vector. It is functional in that functions are first-class values and arguments are passed by deep copy
  • One of our discoveries while working
  • ...2 more annotations...
  • Many basic functions that are lazy in Haskell, for example, are strict in R, including data type constructors.
  • Lazy evaluation is a distinctive feature of R that has the potential for reducing unnecessary work performed by a computation
practica5 empresas

What is Open Source R - 0 views

    • Javier Soriano
       
      R es un lenguaje de programación diseñado expresamente para el análisis de datos. R hace que sea fácil extraer conclusiones a partir de datos multidimensionales con tablas de paneles múltiples, superficies 3-D, etc.
    • Javier Soriano
       
      R es utilizado en el campo de la ciencia y de las finanzas. Dentro del campo de la ciencia lo podemos encontrar en Análisis de imágenes médicas, estadísticas generales,..., entre otras. Por el contrario, en finanzas, lo encontramos en econometría, análisis financieros, etc.
  • Create beautiful and unique data visualizations Representing complex data with charts and graphs is an essential part of the data analysis process, and R goes far beyond the traditional bar chart and line plot. Heavily influenced by thought leaders in data visualization like Bill Cleveland and Edward Tufte, R makes it easy to draw meaning from multidimensional data with multi-panel charts, 3-D surfaces and more. The custom charting capabilities of R are featured in many of the stunning infographics seen in the New York Times, The Economist, and the FlowingData blog.
  • ...2 more annotations...
    • practica5 empresas
       
      Esta pagina remarca que R es un software libre que se emplea en compilaciones matematicas para analizar ficheros.
  • Draw on the talents of data scientists worldwide As a thriving open-source project, R is supported by a community of more than 2 million users and thousands of developers worldwide. Whether you’re using R to optimize portfolios, analyze genomic sequences, or to predict component failure times, experts in every domain have made resources, applications and code available for free, online.
Alexis Agustín

Actuarial Analytics in R - 0 views

    • Alexis Agustín
       
      En este artículo se expone la increible versatilidad del lenguaje R con un monton de ejemplos en los que se ha usado (Analisis de estadisticas en Baseball, juzgar la calidad de un vino, analisis de datos de un scanner de supermercado) y luego introduce una presentacion donde se analizan 4 casos entre los que se encuentra uno interesante sobre el tiempo ademas de otro donde se valora los datos de un grupo de trabajadores
  • With data analysis showing up in domains as varied as baseball, evidence-based medicine, predicting recidivism and child support lapses, judging wine quality, credit scoring, supermarket scanner data analysis, and “genius” recommendation engines, “business analytics” is part of the zeitgeist. This is a good moment for actuaries to remember that their discipline is arguably the first – and a quarter of a millennium old – example of business analytics at work.
  • This session will include an overview of the R statistical computing environment as well as a sequence of brief case studies of actuarial analyses in R. Case studies will include examples from loss distribution analysis, ratemaking, loss reserving, and predictive modeling.
    • Alexis Agustín
       
      En este artículo se expone la increible versatilidad del lenguaje R con un monton de ejemplos en los que se ha usado (Analisis de estadisticas en Baseball, juzgar la calidad de un vino, analisis de datos de un scanner de supermercado) y luego introduce una presentacion donde se analizan 4 casos entre los que se encuentra uno interesante sobre el tiempo ademas de otro donde se valora los datos de un grupo de trabajadores
Fran Marijuana

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

    • David Moya
       
      La primera aparición de R fue en el año 1996 en Nueva Zelanda y resulto ser un "software" de utilización libre.
    • David Moya
       
      Mucha gente que esta familiarizada con R comenta que es una herramienta mucho más potente que Excel.
    • David Moya
       
      Permite a la gente que trabaja en estadística hacer análisis muy complicados
  • ...10 more annotations...
  • it contains a number of built-in mechanisms for organizing data
  • running calculations on the information and creating graphical representations of data sets.
  • as a free software package.
  • Some people familiar with R describe it as a supercharged version of Microsoft’s Excel
  • R first appeared in 1996,
  • in New Zealand
  • It allows statisticians to do very intricate and complicated analyses without knowing the blood and guts of computing systems.”
    • Fran Marijuana
       
      Aunque R se parezca a otros lenguajes de programación (C, Java) para los estadísticos es mas útil organizativamente. 
    • Fran Marijuana
       
      Muchos usuarios comparan R con Microsoft Excel.
    • Fran Marijuana
       
      Aunque R tiene muchas mas opciones
    • Fran Marijuana
       
      John mr. Chambers ha ayudado a desarrollar S, otro proyecto de software que sin embargo, no es un código abierto.
Rafa Llopis

R You Ready for R?(2/2) - 0 views

  • R You Ready for R?
    • Rafa Llopis
       
      Artículo del New York Times sobre la influencia del lenguaje R.
  • R helps people deal with large volumes of data in a wide variety of industries
  • the software is open source, meaning people can pick it up for free and make their own changes to the code
  • ...10 more annotations...
  • People chimed in with the unique ways they’re using the technology
  • talked about its passion
  • Vhayu Technologies
  • R to help traders on Wall Street
  • for tweaking
  • Speaking of R, Mr. Chambers said, “It’s way beyond anything we could have imagined at Bell Labs.”
  • Were Pfizer to use R in clinical studies
  • “It’s very hard to displace the industry standard in those types of cases,” said Max Kuhn, associate director of nonclinical statistics at Pfizer.
  • Revolution offers ways to speed up the software on certain applications and to run it on large computers
  • Revolution provides support services to customers like Pfizer and Bank of America
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.
Raúl Sarrión

An R Introduction to Statistics | R Tutorial - 1 views

shared by Raúl Sarrión on 22 Apr 13 - Cached
  • In an experiment study, various treatments are applied to test subjects and the response data is gathered for analysis. A critical tool for carrying out the analysis is the Analysis of Variance (ANOVA).
    • Raúl Sarrión
       
      El lenguaje de programación R se puede utilizar para realizar análisis de la varianza
    • Raúl Sarrión
       
      ANOVA
  •  
    In an experiment study, various treatments are applied to test subjects and the response data is gathered for analysis. A critical tool for carrying out the analysis is
Jorge Castro

An Introduction to R - 0 views

  • 1 Introduction and preliminaries
    • Pablo David
       
      Introducción y explicación del lenguaje R
  • 2 Simple manipulations; numbers and vectors
    • Pablo David
       
      Instrucciones para la programación en R
  • 5 Arrays and matrices
  • ...9 more annotations...
  • 5 Arrays and matrices
  • 10 Writing your own functions
    • Pablo David
       
      Crear funciones en lenguaje R
  • 11 Statistical models in R
    • Pablo David
       
      Modelos estadísticos en lenguaje R,
    • Jorge Castro
       
      Utilidades del lenguaje R
  • R is an integrated suite of software facilities for data manipulation, calculation and graphical display.
    • Jorge Castro
       
      Uso básico de números y vectores 
    • Jorge Castro
       
      Instrucciones para escribir tus propias funciones en R
  •  
    Esta página es un manual de todo lo relacionado con el lenguaje de programación R, desde los comandos más básicos hasta usos más complejos como la descomposición QR entre otros.
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