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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
    • Alpha Teleco
       
      Paso 1: centrar la variable, restando la media de cada punto y guardando el resultado en una nueva variable de R.
  • In this tutorial, we will explore the a linear, quadratic, and cubic model.
  • 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.
  • Step 2: Multiplication
  • 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.
    • Alpha Teleco
       
      Crear los modelos lineales y no lineales.
  • 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.
  • it can be helpful to summarize and compare our potential models using the summary(MODEL) and anova(MODEL1, MODEL2,… MODELi) functions.
    • 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.
  • 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
nelvia del cisne gonza ajila

Introducción a R: Clase 1 - YouTube - 0 views

  •  
    Esta es la referencia a un tutorial para aprender a usar el lenguaje R. Son clases online de aproximadamente dos horas para el autoaprendizaje.
La morsa Peluda

Manual de R - 0 views

    • Carlos Espinosa
       
      Aquí tenemos un manual básico del lenjuaje.
  •  
    Dejo el enlace a una página en español que trata sobre la utilizacíón del lenguaje de programación R
La morsa Peluda

Manual R commander - 0 views

  •  
    Tutorial sobre el uso del R Commander, con capturas de pantalla
practica5 empresas

Elementary Statistics with R | R Tutorial - 0 views

    • practica5 empresas
       
      aparte de explicar las ventajas del lenguaje R presenta un amplio tutorial sobre las funciones mas importantes, para evitar tediosas opreciones matematicas.
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.
Enrique Diaz Romero

http://cran.r-project.org/doc/contrib/rdebuts_es.pdf - 1 views

    • juan trinidad jimenez armesto
       
      R es un sistema para analisis estadísticos y gráficos creado por Ross Ihaka y Robert Gentleman. Tiene una naturaleza doble de programa y lenguaje de programación y es considerado como un dialecto del lenguaje S creado por los Laboratorios AT&T Bell R posee muchas funciones para análisis estadísticos y gráficos; estos últimos pueden ser visualizados de manera inmediata en su propia ventana y ser guardados en varios formatos
    • juan trinidad jimenez armesto
       
      R es un sistema para analisis estadísticos y gráficos creado por Ross Ihaka y Robert Gentleman. Tiene una naturaleza doble de programa y lenguaje de programación y es considerado como un dialecto del lenguaje S creado por los Laboratorios AT&T Bell R posee muchas funciones para análisis estadísticos y gráficos; estos últimos pueden ser visualizados de manera inmediata en su propia ventana y ser guardados en varios formatos
    • Caballo Loco
       
      Curso básico de R en .pdf, de la universidad de Montpelier
  •  
    Tutorial básico de lenguaje R
  •  
    Manual de programación para el Lenguaje R 
Raúl Sarrión

Basic Data Types | R Tutorial - 0 views

    • Raúl Sarrión
       
      Tipos de datos utilizados en R
    • Raúl Sarrión
       
      Numérico, entero, complejo, lógico y carácter
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
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
David Moya

David riff moya - 0 views

    • David Moya
       
      R se usa para estadisticas y dirección. Se usa en el ámbito de industrias, negocios, gobierno y medicina. Es gratuito y de open source, disponible para linux mac y windows.
  • There is a perception among some that R has a steep learning curve, but I disagree.
  • R usage has its advanced aspects
  • ...10 more annotations...
  • Start simple, and then refine gradually.
  • There are numerous gentle online tutorials on R
  • R syntax is similar to those of C, Python, PERL
    • David Moya
       
      R es un lenguaje de programación similar a C, Python y PERL. Una herramienta muy util para escribir codigo en R es RStudio, creada en 2011
    • David Moya
       
      Se dice que puede ser un lenguaje complicado, pero hay que tomarselo con calma e ir progresando poco a poco, hasta alcanzar un nivel mas alto. Además en internet se pueden encontrar numerosos tutoriales para aprender R
  • used widely in industry, business, government, medicine
  • R is a wonderful programming language for statistics and data management
  • free, an open source product
  • R is available for Linux, Windows and Mac systems.
  • there are a number of open source products available: The most popular is undoubtedly RStudio
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
La morsa Peluda

Tutorial R - 0 views

    • La morsa Peluda
       
      Esta página hace una breve descripción sobre el lenguaje de programación en R y menciona el R commander que facilita la utilizacion de 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
       
      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.
nerub val

R - GNU Project - Free Software Foundation (FSF) - 1 views

shared by nerub val on 24 Apr 13 - No Cached
  • R is a language and environment for statistical computing and graphics.
  • developed at Bell Laboratories
  • R provides an Open Source route to participation in that activity.
  • ...21 more annotations...
  • R provides a wide variety of statistical
  • and graphical techniques,
  • R is an integrated suite
  • of software facilities for data manipulation
  • storage facility,
  • operators for calculations on arrays,
  • collection of intermediate tools for data analysis,
  • graphical facilities
  • simple and effective programming language
  • is designed around a true computer languag
  • R, like S
  • allows users to add additional functionalit
  • defining new functions
    • nerub val
       
      r es un lenguaje creado por bell laboraties de codigo abierto
    • nerub val
       
      caracteristicas del lenguaje , facil almacenamiento, ayudas en operaciones y graficas, y efectivo
  • For computationally-intensive tasks, C, C++ and Fortran code can be linked and called at run time
    • nerub val
       
      compatible con c y c++
  • R can be found on http://cran.r-project.org, the master site of comprehensive R archive network, or at one of its mirrors.
    • nerub val
       
      enlace para descargarlo para linux, mac y windows
    • nerub val
       
      y algunos recursos adicionales
  • with an FAQ list, and an introduction to the language and how to use R for doing statistical analysis and graphics in PDF and other formats.
    • nerub val
       
      tutorial de como usar r asi como diversos posibles problemas con el y su istalacion y soluciones
Alpha Teleco

Time Series Analysis and Mining with R | (R news & tutorials) - 0 views

    • Alpha Teleco
       
      Cómo clasificar y agrupar series de tiempo en R y explicación mediante una serie de ejemplos.
  • classification and clustering of time series data are not readily supported by existing R functions or packages.
    • Alpha Teleco
       
      Ejemplo de descomposición de una serie temporal, con el ejemplo de pasajeros de avión.
  • ...18 more annotations...
  • Time series data are widely seen in analytics. Some examples are stock indexes/prices, currency exchange rates and electrocardiogram (ECG)
  • Time Series Decomposition
    • Alpha Teleco
       
      Serie de tiempo original.
  • Time series decomposition is to decompose a time series into trend, seasonal, cyclical and irregular components.
    • Alpha Teleco
       
      Tendencia.
    • Alpha Teleco
       
      Factores estacionales.
    • Alpha Teleco
       
      Componente aleatoria.
    • Alpha Teleco
       
      Previsión de hechos futuros basados en conocidos.
  • Time Series Forecasting
  • Time series forecasting is to forecast future events based on known past data.
    • Alpha Teleco
       
      Agrupar series temporales basandose en su similitud o distancia.
  • Time Series Clustering
    • Alpha Teleco
       
      Ejemplo de agrupacion con 600 graficos, agrupados en 6 grupos. (Normales, ciclicos, tendencia alcista, tendencia bajista...)
  • Time series clustering is to partition time series data into groups based on similarity or distance, so that time series in the same cluster are similar.
    • Alpha Teleco
       
      Clasificacion de series de tiempo. Construir un modelo de clasificacion basado en las series de tiempo marcadas y usando el modelo construido, predecir la continuación de la series.
  • Time series classification is t
  • o build a classification model based on labelled time series and then use the model to predict the label of unlabelled time series.
  • Time Series Classification
Alpha Teleco

A big list of the things R can do | (R news & tutorials) - 1 views

    • Alpha Teleco
       
      Listado de las diferentes funciones que R puede realizar
  • R is an incredibly comprehensive statistics package
  • R can do pretty much everything you need for data manipulation, visualization, and statistical analysis.
  • ...8 more annotations...
    • Alpha Teleco
       
      Simulación de procesos matemáticos y estadísticos
  • ANALYTICS
    • Alpha Teleco
       
      Realización de gráficos estadísticos
  • GRAPHICS AND VISUALIZATION
  • R APPLICATIONS and EXTENSIONS***
    • Alpha Teleco
       
      Aplicación de la estadística a la investigación
  • PROGRAMMING LANGUAGE FEATURES
    • Alpha Teleco
       
      Programación orientada a objetos
Alpha Teleco

Why R is Hard to Learn | (R news & tutorials) - 0 views

  • Misleading Function or Parameter Names (data=, sort, if)
  • The most difficult time people have learning R is when functions don’t do the “obvious” thing.
  • Nonstandard Output
  • ...9 more annotations...
  • Too Many Commands
  • Sloppy Control of Variables
  • Loop-a-phobia
  • Functions That Act Like Procedures
  • Naming and Renaming Variables is Way Too Complicated
  • Inability to Analyze Multiple Variables
  • Poor Ability to Select Variable Sets
  • Too Much Complexity
  • Lack of Graphical User Interface (GUI)
Fran Marijuana

Open Source is Opening Data to Predictive Analytics | (R news & tutorials) - 0 views

    • Fran Marijuana
       
      El software Hadoop permite analizar grandes cantidades de datos. 
    • Fran Marijuana
       
      Las 500 mejores compañias (según la revista Fortune) usan R.
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.
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