2799 search results for "twitteR"

How to speed up loops in R

November 28, 2011
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How to speed up loops in R

As with any language, there are often several ways to code up the solution to a programming problem in R. If performance of the code is important (i.e. it's something you plan to run many times, or with a lot of data), how you code the solution can often have a big impact on how fast it runs. For...

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Predicting Gender

November 28, 2011
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Predicting Gender

If there are two (can be generalized to n) classes and both follow the same distribution (but with different parameters) it is possible to predict which class an observations comes from. Here I’ll try to predict a sample’s gender based on their height. The distribution of a person’s height is more or less normal. There

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A nice short article on memory in R

November 28, 2011
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A nice short article on memory in R

There is a nice short article on memory issue in R at http://www.matthewckeller.com/html/memory.html. If you use R to process large data, you might find it helpful. It introduces: - checking how much memory an object is taking; - the memory … Continue reading →

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A Story of Life and Death. On CRAN. With Packages.

November 27, 2011
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The Comprehensive R Archive Network, or CRAN for short, has been a major driver in the success and rapid proliferation of the R statistical language and environment. CRAN currently hosts around 3400 packages, and is growing at a rapid rate. Not too ...

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GTA R Users Group – Using R for Data Mining Competitions

November 27, 2011
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GTA R Users Group – Using R for Data Mining Competitions

Here are the presentation slides I used for my talk on “Using R for Data Mining Competitions” at Ryerson University as part of the Greater Toronto Area (GTA) R User’s Meetup Group. Presentation (Prezi) Presentation (PDF) Meetup Event page Special thanks to Anthony Goldbloom from Kaggle and various competition winners for sharing their code and

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The Global Earthquake Desktop

November 25, 2011
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The Global Earthquake Desktop

One of the first things I do over coffee each morning is scroll through the USGS earthquake RSS feeds.  In the era of free data and open source computing I asked myself, "Wouldn't it be better to visualize all of the earthquakes around the world r...

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Introduction to Backtesting library in the Systematic Investor Toolbox

November 24, 2011
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Introduction to Backtesting library in the Systematic Investor Toolbox

I wrote a simple Backtesting library to evaluate and analyze Trading Strategies. I will use this library to present the performance of trading strategies that I will study in the next series of posts. It is very easy to write a simple Backtesting routine in R, for example: The code I implemented in the Systematic

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bounded normal mean

November 24, 2011
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bounded normal mean

A few days ago, one of my students, Jacopo Primavera (from La Sapienza, Roma) presented his “reading the classic” paper, namely the terrific bounded normal mean paper by my friends George Casella and Bill Strawderman (1981, Annals of Statistics). Even though I knew this paper quite well, having read (and studied) it myself many times,

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“Home Runs by Park – 2011 Season” or “Man the Astros Sucked This Year”

November 24, 2011
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“Home Runs by Park – 2011 Season” or “Man the Astros Sucked This Year”

I hate the Giants. Let this be known. What i was hoping to find was another reason to support my claim that their WS win in 2010 was a complete fluke.  So when digging through the game logs for the … Continue reading →

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Andrew gone NUTS!

November 23, 2011
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Andrew gone NUTS!

Matthew Hoffman and Andrew Gelman have posted a paper on arXiv entitled “The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo” and developing an improvement on the Hamiltonian Monte Carlo algorithm called NUTS (!). Here is the abstract: Hamiltonian Monte Carlo (HMC) is a Markov chain Monte Carlo (MCMC) algorithm that avoids the

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