1244 search results for "tutorial"

The three-dots construct in R

January 30, 2013
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There is a mechanism that allows variability in the arguments given to R functions.  Technically it is ellipsis, but more commonly called “…”, dots, dot-dot-dot or three-dots. Basics The three-dots allows: an arbitrary number and variety of arguments passing arguments on to other functions Arbitrary arguments The two prime cases are the c and list The post The...

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Strata’s Data Driven Business Day

January 29, 2013
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The tagline for O'Reilly Strata conference series — Making Data Work — has meant that it's always been popular with practitioners, primarily data scientists working with Big Data in real-world environments. Recent Strata events have also attracted more business-oriented attendees, with events focused more on processes and outcomes than on the implementation details. On Tuesday February 26, Strata Santa...

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The components garch model in the rugarch package

January 28, 2013
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The components garch model in the rugarch package

How to fit and use the components model. Previously Related posts are: A practical introduction to garch modeling Variability of garch estimates garch estimation on impossibly long series Variance targeting in garch estimation The model The components model (created by Engle and Lee) generally works better than the more common garch(1,1) model.  Some hints about … Continue reading...

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I thought R was a letter…intro/installation

January 27, 2013
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I thought R was a letter…intro/installation

I will make a confession. This past summer, I didn’t spend my spare time watching relentlessly addicting TV shows nor clubbing in San Francisco. Instead, I checked out figures. No, not the sort of figures you’re probably thinking about. The ones that are included in research papers and have the potential to be beautiful works of

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Shiny 0.3.0 released

January 25, 2013
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Shiny 0.3.0 released

Version 0.3.0 of Shiny is now available on CRAN. This version of Shiny has several new features and bug fixes. Some of the changes are under the hood: for example, Shiny now uses a more efficient algorithm for scheduling the execution of reactive functions. There are also some user-facing changes: for example, the new runGitHub()

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Object Orientation in R – Notes from a novice

January 25, 2013
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Object Orientation in R – Notes from a novice

Having posted some code to Git a few days ago and having been wholly dissatisfied with it, I began to do what I often do with code I don’t like. I started re-writing it bigger and weirder and more philosophically pure. Part of this search for Platonic code lead me to explore object oriented programming

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SPARQL with R in less than 5 minutes

January 23, 2013
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SPARQL with R in less than 5 minutes

In this article we’ll get up and running on the Semantic Web in less than 5 minutes using SPARQL with R. We’ll begin with a brief introduction to the Semantic Web then cover some simple steps for downloading and analyzing government data via a SPARQL query with the SPARQL R package. What is the Semantic The post SPARQL...

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In case you missed it: December 2012 Roundup

January 17, 2013
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In case you missed them, here are some articles from December of particular interest to R users. The blog is.R ran an excellent series of R tips and applications in December, with posts including working with Stata files, working with graphs and networks, and text analysis. Kohske Takahashi provides R scripts to create a collection of optical illusions. Highlights...

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Restricted Boltzmann Machines in R

January 14, 2013
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Restricted Boltzmann Machines in R

Restricted Boltzmann Machines (RBMs) are an unsupervised learning method (like principal components). An RBM is a probabilistic and undirected graphical model. They are becoming more popular in machine learning due to recent success in training them with contrastive divergence. They have been proven useful in collaborative filtering, being one of the most successful methods...

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Shiny = Happy People

January 11, 2013
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The people behind the wonderful RStudio, which I gushed about in a previous post, have developed a new package, Shiny, that makes it easy to develop interactive web applications with R. Shiny is not the first package to facilitate building web apps with R (see here for comparison of Shiny and gWidgetsWWW2.rapache), but it is

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