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Carlos Espinosa

Lenguaje R: ¿ - 1 views

  El Lenguaje R:   ¿Qué es R? R es un lenguaje y entorno de programación para análisis estadístico y gráfico. Se trata de un proyecto de software...

started by Carlos Espinosa on 30 Apr 13 no follow-up yet
Rafa Llopis

R You Ready for R? (1/2) - 0 views

  • Data Analysts Captivated by R’s Power
    • Rafa Llopis
       
      Artículo del New York Times que explica desde el principio las bases del lenguaje R y en qué se emplea.
  • used to set ad prices, find new drugs more quickly or fine-tune financial models
  • Google, Pfizer, Merck, Bank of America, the InterContinental Hotels Group and Shell use it.
  • ...17 more annotations...
  • R is also the name of a popular programming language used by a growing number of data analysts inside corporations and academia.
  • R is really important to the point that it’s hard to overvalue it,” said Daryl Pregibon
  • “It allows statisticians to do very intricate and complicated analyses without knowing the blood and guts of computing systems.”
  • R is similar to other programming languages, like C, Java and Perl
  • . I.B.M., Hewlett-Packard and Dell make billions of dollars a year selling servers that run the open-source Linux operating system
  • Web sites are displayed using an open-source application called Apache,
  • the end results of all this technology via the Firefox Web
  • can help illuminate data trends more clearly than is possible by entering information into rows and columns
  • What makes R so useful
  • is that statisticians, engineers and scientists can improve the software’s code or write variations for specific tasks
  • advanced algorithms, colored and textured graphs and mining techniques to dig deeper into databases.
  • Packages written for R add
  • the professors considered their coding efforts more of an academic game than anything else.
  • the notion of devising something like R sprang up during a hallway conversation.
  • They both wanted technology better suited for their statistics students
  • R immediately gained a following with people who saw the possibilities in customizing the free software.
  • “The diversity and excitement around what all of these people are doing is great,” Mr. Chambers said.
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.
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  • 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
Enrique Diaz Romero

R en la web - 0 views

  • R es un lenguaje y entorno de programación para análisis estadístico y gráfico.
  • R y S-Plus -versión comercial de S- son, probablemente, los dos lenguajes más utilizados en investigación por la comunidad estadística,
  • populares en el campo de la investigación biomédica, la bioinformática y las matemáticas financieras
  • ...8 more annotations...
  • R se distribuye bajo la licencia GNU GPL y está disponible para los sistemas operativos Windows, Macintosh, Unix y GNU/Linux.
  • Además, R puede integrarse con distintas bases de datos y existen librerías que facilitan su utilización desde lenguajes de programación interpretados como Perl y Python o en lenguajes de código compilado, por ejemplo, C o Fortran.
  • características más relevantes de R son que se trata de un lenguaje interpretado y que está orientado a objetos
  • Alternativas comerciales S-Plus http://www.insightful.com/products/splus/default.asp SPSS http://www.spss.com Minitab http://www.minitab.com SAS http://www.sas.com
  • Una amplia colección de librerías se encuentran en CRAN.
    • Enrique Diaz Romero
       
      Definimos R como un lenguaje y entorno de programación para el análisis de datos estadísticos y gráficos, procedente del lenguaje S con un gran numero de campos de aplicación.
    • Enrique Diaz Romero
       
      R, se distribuye de forma libre y esta disponible para todos los sistemas operativos, ademas de poderse integrar con otro gran numero de lenguajes ya sean compilados como interpretados. Tiene un gran numero de librerías que se encuentran en el CRAN y que son creadas por los usuarios. Podemos destacar que es un lenguaje interpretado y orientado a objetos
    • Enrique Diaz Romero
       
      También existen unas alternativas comerciales como son S-Plus, SPSS, Minitab,SAS
  •  
    Definición del proyecto R
Alejandro Vecina

R, un lenguaje de programación que seduce - 2 views

    • Borja Herrero
       
      Esta pagina, resume un articulo publicado en el New York Times, que analiza el lenguaje de programacion R, su evolucion y su expansion en diversos sectores de la empresa.
    • Rafa Vaño
       
      En esta página se resume un artículo del New York Times en el que se explica el porqué del éxito del lenguaje de programación R, además del creciente éxito de los softwares libres. También se describe su utilidad y el perfil de los usuarios de R.
  • el procesamiento de datos se encuentra en la edad de oro
  • ...12 more annotations...
  • se trata de software libre
  • Porque científicos, ingenieros, estadísticos que no son expertos en programación pueden emplearlo rápidamente
  • R se utiliza en
  • empresas muy diversas.
  • el lenguaje de programación R
  • R es tan utilizado
  • permite hacer análisis muy complejos a los estadísticos sin que conozcan en profundidad los sistemas de computación.
  • la mayoría de los sitios Web se basan en el software libre Apache y cada vez hay más confianza en MySQL, la base de dados libre.
    • juan carlos carlos
       
      Lo más destacable de dicho artículo es que el lenguaje R no pasa desapercibido, debido a que periódicos como el New York Times escribe artículos sobre el. Se destaca la comodidad de que sea un software libre y sus aplicaciones en empresas como Dell y su abanico de posibilidades en la medicina o el perfeccionamiento de modelos financieros.
  • El New York Times publicó una nota recientemente sobre sobre el lenguaje de programación R, destacando el hecho de que se trata de software libre, siendo los analistas de datos los más cautivados
  • La operación de procesar datos es utilizada tanto para fijar precios, perfeccionar modelos financieros o encontrar nuevas medicinas, es así que R se utiliza en Pfizer, Merck, Google, el InterContinental Hotels Group, Bank of America o Shell, empresas muy diversas.
  • ¿Y por qué R es tan utilizado? Porque científicos, ingenieros, estadísticos que no son expertos en programación pueden emplearlo rápidamente.
    • Alexis Agustín
       
      Ademas al ser software libre, se reducen costes de licencias en las empresas y en uso propio.
  •  
    Artículo sobre una nota publicada por el NY Times sobre el lenguaje de programación R, un software libre muy utilizado en empresas como Pfizer, Merck, Shell o Google para fijar precios, perfeccionar modelos financieros o hacer análisis muy complejos sobre estadística. Además no es un lenjuage complejo, ya que ingenieros, científicos o estadísticos que no son expertos en programación pueden emplearlo rápidamente. 
juan trinidad jimenez armesto

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

    • juan trinidad jimenez armesto
       
      Debido al aumento estos últimos años de la necesidad del data mining por el gran número de datos que manejas las empresas y la posibilidad de buscar patrones comunes, las grandes empresas empezaron a utilizar R como herramienta para ello.
    • juan trinidad jimenez armesto
       
      Además R es de código libre, como también lo son Apache o la bases de datos MySQL, haciendo que el proyecto se desarolle en comunidades de usuarios.
    • juan trinidad jimenez armesto
       
      Existen numerosos paquetes con funciones predefinidas por otros usuarios para facilitar la programación
  • ...11 more annotations...
  • Many people view the end results of all this technology via the Firefox Web browser, also open-source software.
  • R is also the name of a popular programming language used by a growing number of data analysts inside corporations and academia. It is becoming their lingua franca partly because data mining has entered a golden age
  • Companies as diverse as Google, Pfizer, Merck, Bank of America, the InterContinental Hotels Group and Shell use it.
  • R has also quickly found a following because statisticians, engineers and scientists without computer programming skills find it easy to use.
  • Many people view the end results of all this technology via the Firefox Web browser, also open-source software.
  • Most Web sites are displayed using an open-source application called Apache, and companies increasingly rely on the open-source MySQL database to store their critical information. Many people view the end results of all this technology via the Firefox Web browser, also open-source software.
  • For statisticians
  • 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.
  • What makes R so useful
  • is that statisticians, engineers and scientists can improve the software’s code or write variations for specific tasks. Packages written for R add advanced algorithms, colored and textured graphs and mining techniques to dig deeper into databases.
  • The financial services community has demonstrated a particular affinity for R; dozens of packages exist for derivatives analysis alone.
Joca Vijo

Big Data Right Now: Five Trendy Open Source Technologies | TechCrunch - 0 views

    • Joca Vijo
       
      Aquí nos remarca que el lenguaje R es muy adecuado a la hora de desarrollar proyectos de 'Big Data', o con contenidos ingentes de información, separando y analizando las diversas publicaciones.
  • Because it has an unusually strong community around it, you can find R libraries for almost anything under the sun — making virtually any kind of data science capability accessible without new code. R is exciting because of who is working on it, and how much net-new innovation is happening on a daily basis. the R community is one of the most thrilling places to be in Big Data right now. R is a also wonderful way to future-proof your Big Data program. In the last few months, literally thousands of new features have been introduced, replete with publicly available knowledge bases for every analysis type you’d want to do as an organization.
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.
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  • R is also used by Google for data analysis.
  • There are also around 5000 extension packages for R dedicated to performing specialised tasks.
    • 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.
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
Yes We Pass

How the New York Times uses R for Data Visualization - 0 views

    • Yes We Pass
       
      En esta página se muestra cómo el New York Times utiliza el lenguaje R para realizar gráficos que posteriormente aparecerán en sus ediciones impresas y online. también señala que han sido pioneros en el uso de esta herramienta. 
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.
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
grupo empresa

'R' language bringing statistical analytics to the masses (Q&A) | Software, Interrupted... - 0 views

    • grupo empresa
       
      El lenguaje r nos permite realizar una gran cantidad de predicciones de mercado y económicas que nunca antes se habian podido sacar con otros lenguajes o métodos.Este lenguaje es utilizado para la realización de predicciones analíticas que ayudan a entender mejor el mercado , las costumbres y las tendencias de los consumidores...Este además es un lenguaje muy joven todavía, al cual se le puede llegar a sacar una gran potencial.
  • Predictive analytics is statistical modeling by any other name. It's used by statisticians and data analysts across all verticals as a means to better understand their organization, both internally and externally. It helps identify trends and patterns, arming CIOs and other enterprise decision makers with the best possible information with which to make their decisions. Predictive analytics has a proven track record in the business intelligence field. Wal-Mart, for one, has used predictive analytics to better understand the habits and tendencies of their customers.
  • : R is still relatively young and is only just now being recognized outside of academic circles. Its practically limitless statistical capabilities make it attractive to anybody doing data analysis, be they a statistics professor or a financial analyst
  • ...1 more annotation...
  • At this point, the future of predictive analytics is pointing directly to R, something we are calling the "perfect storm of predictive analytics."
Yes We Pass

Companies Using R - 0 views

    • Yes We Pass
       
      Aquí podemos observar distintas empresas que utilizan el lenguaje de programación R. En particular, vamos a centrarnos en como el famoso periódico americano "The New York Times" lo utiliza.
  • The New York Times and R
Practica 5 de FOE

'R' language bringing statistical analytics to the masses (Q&A) | Software, Interrupted... - 0 views

  • Predictive analytics has a proven track record in the business intelligence field. Wal-Mart, for one, has used predictive analytics to better understand the habits and tendencies of their customers. Predictive analytics was a driving force in influencing their competitive pricing model that gave them a competitive advantage over their market. Beyond retail, predictive analytics models are used extensively in financial services, pharmaceuticals, life sciences, and a host of other verticals
viinjo A1c

Open Source R Language Could Revolutionize Business Intelligence - Enterprise Apps Today - 0 views

  • provides a new framework for fast and efficient multi-core processing of large data sets,
    • LuCla EdPa
       
      Concluimos que R se empezó a usar hace poco y que su crecimiento ha sido muy rápìdo. Ayuda a ello su gran rapidez y fácil manejo
  • After long use in academia, R only recently began to appear in the business world. Among the vendors bringing R into the commercial realm are SAS, Netezza (NYSE: NZ), Revolution Analytics and IBM (NYSE: IBM), which acquired SPSS.
    • viinjo A1c
       
      Introducción del lenguaje R en la empresa (Año 2010).
  • In just two years, Nie's new company has won blue-chip customers such as Bank of America, Motorola and Pfizer.
    • viinjo A1c
       
      A raíz de usar R Nie ha ganado grandes clientes.
  • ...4 more annotations...
  • The company says R users will be able to process, visualize and model terabyte-class data sets in a fraction of the time of legacy products, without the need for expensive or specialized hardware.
    • viinjo A1c
       
      Espectativas de mejora del lenguaje R, por parte de dicha empresa.
  • e processing of large d
  • multi-core processing of lar
  • efficient multi-core processing
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.
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.
Juanjo Cristian

R at Google | (R news & tutorials) - 1 views

    • Juanjo Cristian
       
      El uso de R está presente en muchas de las aplicaciones de Google. Una aplicación interesante es el proyecto Google Flu Trends, que utiliza R para conocer el número de búsquedas con una determinada palabra o frases y estimar el flujo de actividad para diferentes regiones del mundo.
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.
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