1219 search results for "tutorial"

ARMA Models for Trading

August 21, 2012
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ARMA Models for Trading

In this tutorial I am going to share my R&D and trading experience using the well-known from statistics Autoregressive Moving Average Model (ARMA). There is a lot written about these models, however, I strongly recommend Introductory Time Series with R, which I find is a perfect combination between light theoretical background and practical implementations in

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Creating beautiful reports from R with knitr

August 21, 2012
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Creating beautiful reports from R with knitr

People use the R language every day to create the elements of reports: tables, charts, analyses, and forecasts. But assembling all of that information into a print-ready document laid out with text can a hassle. You can cut-and-paste all of the elements into Word, but then what do you do when the data file gets updated at the last...

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Getting Started with R and Hadoop

August 20, 2012
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Getting Started with R and Hadoop

Last week's meeting of the Chicago area Hadoop User Group (a joint meeting the Chicago R User Group, and sponsored by Revolution Analytics) focused on crunching Big Data with R and Hadoop. Jeffrey Breen, president of Atmosphere Research Group, frequently deals with large data sets in his airline consulting work, and R is his "go-to tool for anything data-related"....

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Parallelization: Speed up Functions in a Package

August 18, 2012
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Parallelization: Speed up Functions in a Package

Well I bought a new computer a month back (i7 8GB memory). Finally more than one core and a chance to try parallelization. I saw this blog post a while back and was intrigued and was further intriqued when I … Continue reading →

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The Setup (Part 1)

August 16, 2012
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The Setup (Part 1)

One of the more challenging things about beginning graduate school was learning what tools and software I needed in order to work efficiently. Unlike college where software requirements were laid out in front of me and everyone seemed to use … Continue reading →

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Why we are teaching massive open online courses (MOOCs) in R/statistics for Coursera

August 10, 2012
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Editor’s Note: This post written by Roger Peng and Jeff Leek.  A couple of weeks ago, we announced that we would be teaching free courses in Computing for Data Analysis and Data Analysis on the Coursera platform. At the same time, a number of ot...

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unsupervised classification of a Landsat image in R: the whole story or part two

August 1, 2012
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unsupervised classification of a Landsat image in R: the whole story or part two

The main question when using remote sensed raster data, as we do, is the question of NaN-treatment. Many R functions are able to use an option like rm.NaN=TRUE to treat these missing values. In our case the kmeans function in R is not capable to use such a parameter. After reading the tif-files and creating

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More on Horizon Charts

August 1, 2012
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More on Horizon Charts

for background please see prior posts Application of Horizon Plots, Horizon Plot Already Available, and Cubism Horizon Charts in R Some feedback has led me to think that I might have been a little ambitious with my last post on horizon charts. I though...

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Genetic algorithms: a simple R example

August 1, 2012
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Genetic algorithms: a simple R example

Genetic algorithm is a search heuristic. GAs can generate a vast number of possible model solutions and use these to evolve towards an approximation of the best solution of the model. Hereby it mimics evolution in nature. GA generates a population, the individuals in this population (often called chromosomes) have  Read more »

Genetic algorithms: a simple R example

August 1, 2012
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Genetic algorithms: a simple R example

Genetic algorithm is a search heuristic. GAs can generate a vast number of possible model solutions and use these to evolve towards an approximation of the best solution of the model. Hereby it mimics evolution in nature. GA generates a population, the individuals in this population (often called chromosomes) have a given state. Once the population is generated, the state of these individuals is evaluated...

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