Blog Archives

Dynamical systems: Mapping chaos with R

July 13, 2012
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Dynamical systems: Mapping chaos with R

Chaos. Hectic, seemingly unpredictable, complex dynamics. In a word: fun. I usually stick to the warm and fuzzy world of stochasticity and probability distributions, but this post will be (almost) entirely devoid of randomness. While chaotic dynamics are entirely deterministic, their sensitivity to initial conditions can trick the observer into seeing iid. In ecology, chaotic

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R Workshop: Introducing Slidify – HTML5 slides from R markdown

June 20, 2012
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R Workshop: Introducing Slidify – HTML5 slides from R markdown

Thursday, June 28th, 2012  19h. <–  new evening time! Tomson House: 650 McTavish, H3A 1Y2, Montréal, QC <– new social setting! guRu: Ramnath Vaidyanathan (McGill University) Ramnath Vaidyanathan will introduce the group to slidify, his brand new R package. From the slidify website: “The objective of slidify is to make it easy to create reproducible

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Simulating Euro 2012

June 11, 2012
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Simulating Euro 2012

Why settle for just one realisation of this year’s UEFA Euro when you can let the tournament play out 10,000 times in silico? Since I already had some code lying around from my submission to the Kaggle hosted 2010 Take on the Quants challenge, I figured I’d recycle it for the Euro this year. The

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Distribution of Oft-Used Bash Commands

June 1, 2012
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Distribution of Oft-Used Bash Commands

Browsing commandlinefu.com today, I came across this little one-liner to display which commands I use most often. Here’s what I got: Yep, seems legit. I navigate and look at files a whole bunch (ls, cd, cat), and I do a butt tonne of editing (vim). I sudo like a boss, hop onto various servers (ssh),

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More Bixi Data Visualization

May 17, 2012
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More Bixi Data Visualization

I mentioned in a previous post that our team at the recent Hack/Reduce hackathon had some fun with a data set which consisted of Bixi station states at minute level temporal resolution. In addition to pulling out and plotting the flux at each station on an hourly basis, we also plotted the system state (number

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Heartbeat of a Cycling City: Bixi data at Hack/Reduce

May 8, 2012
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Heartbeat of a Cycling City: Bixi data at Hack/Reduce

The recent Hack/Reduce hackathon in Montreal was a tonne of fun. Our team tackled a data set of consisting of Bixi (Montreal’s bicycle share system) station states at one minute temporal resolution. We used Hadoop and mapreduce to pull out some features of user behaviours. One of the things we extracted was the flux at

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R Workshop: Reproducible Research using Sweave for Beginers

April 27, 2012
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R Workshop: Reproducible Research using Sweave for Beginers

Monday, April 30, 2012  14h-16h. Stewart Biology Rm w6/12 (Montreal) guRu: Denis Haine (Université de Montréal) Topics Reproducible research was first coined by Pr. Jon Claerbout, professor of geophysics at Stanford University, to describe that the results from researches can be replicated by other scientists by making available data, procedures, materials and the computational environment

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Insights into Quantile Regression from Arthur Charpentier

April 24, 2012
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Insights into Quantile Regression from Arthur Charpentier

At this Monday’s Montreal R User Group meeting, Arthur Charpentier gave an interesting talk on the subject of quantile regression. One of the main messages I took away from the workshop was that quantile regression can be used to determine if extreme events are becoming more extreme. The example given was hurricane intensity since 1978.

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Montreal R Workshop: Quantile Regression

April 17, 2012
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Montreal R Workshop: Quantile Regression

Stewart Biology Building, McGill University (Rm N4/17) Monday, April 24, 2012  14h-16h Dr. Arthur Charpentier (UQàM) In this workshop we will examine difference concepts related to quantiles, and practical issues based on R codes. This workshop will present quantile regression, and the idea of iterative least square estimation. It will present an illustration on climate

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Montreal R Workshop: Introduction to Bayesian Methods

March 22, 2012
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Montreal R Workshop: Introduction to Bayesian Methods

Monday, March 26, 2012  14h-16h, Stewart Biology N4/17 Corey Chivers, Department of Biology McGill University This is a meetup of the Montreal R User Group. Be sure to join the group and RSVP. More information about the workshop here. Topics Why would we want to be Bayesian in the first place?  In this workshop we

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