2233 search results for "map"

Selection in R

June 1, 2012
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The design of the statistical programming language R sits in a slightly uncomfortable place between the functional programming and object oriented paradigms. The upside is you get a lot of the expressive power of both programming paradigms. A downside of this is: the not always useful variability of the language’s list and object extraction operators. Related posts:

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Conditional Drawdown Exploration

May 31, 2012
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Conditional Drawdown Exploration

After reading Strub, Issam S., Trade Sizing Techniques for Drawdown and Tail Risk Control (May 21, 2012), I thought I should try to tie this with 2 other good R pieces on Conditional Drawdown: http://systematicinvestor.wordpress.com/2011/11/01/minimiz...

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New Data Science Packages Coming To Computational Journalism Server

May 30, 2012
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I’ve just received an announcement from Michael Lang that packages BatchJobs and BatchExperiments have been added to the Comprehensive R Archive Network (CRAN). From the announcement: The package BatchJobs implements the basic objects and procedu...

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Review: “Forest Analytics with R: an introduction”

May 29, 2012
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Review: “Forest Analytics with R: an introduction”

Forestry is the province of variability. From a spatial point of view this variability ranges from within-tree variation (e.g. modeling wood properties) to billions of trees growing in millions of hectares (e.g. forest inventory). From a temporal point of view … Continue reading →

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Choosing colour palettes. Part I: Introduction

May 29, 2012
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Choosing colour palettes. Part I: Introduction

In this series of three posts, we’ll look at colours in R graphics produced with ggplot2: what are the available choices of colour schemes, and how to choose a colour palette most suitable for a particular graphic? In kindergarten, choosing a co...

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ICES and NAFO statistical areas viewed in Google Earth

May 28, 2012
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ICES and NAFO statistical areas viewed in Google Earth

On the ICES Spatial Facility webpage one can obtain a view of the ICES statistical areas. Now since the projection used is more than a bit misleading I was wandering how these statistical areas would look like in Google Earth. Thankfully the ...

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Ben Schmid took ship’s log data (previously visualized in…

May 27, 2012
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Ben Schmid took ship’s log data (previously visualized in…

Ben Schmid took ship’s log data (previously visualized in static form on the the Spatial Analysis blog), and used ggplot and ffmpeg to animate the paths of individual voyages from 1750-1850. The images above come from the animation that combines all ...

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Facebook-class social network analysis with R and Hadoop

May 25, 2012
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Facebook-class social network analysis with R and Hadoop

In computing, social networks are traditionally represented as graphs: a connection of nodes (people), pairs of which may be connected by edges (friend relationships). Visually, the social networks can then be represented like this: Social network analysis often amounts to calculating the statistics on a graph like this: the number of edges (friends) connected to a particular node (person),...

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French dataset: population and GPS coordinates

May 24, 2012
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French dataset: population and GPS coordinates

A short post today based on recent work by @3wen (Ewen Galic, graduate Student in Rennes, spending a year in Montreal). Since we were working on a detailed French dataset (per commune), we needed a dataset containing a list all communes, with popu...

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Slides for R/Finance 2012

May 23, 2012
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Slides for R/Finance 2012

Another succeessful* year of R/Finance is behind us. It was certainly more: a larger crowd, a longer session, more seminars, more presentations, more sponsors – perhaps even to the point where we’ve reaching a certain capacity. What began as an interesting idea among a few friends has more than credible momentum – it’s now more

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