3750 search results for "GIS"

IntR – Interactive GUI for performing geostatistical analysis in R

June 4, 2013
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IntR – Interactive GUI for performing geostatistical analysis in R

In 2011 I presented at the UseR conference, held in Warwick (UK), a piece of software for easing the learning curve of R for geostatistical analysis. It is a very simple attempt to create an interactive interface in R, by using Python as GUI. F...

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Plotting Oracle RMAN backup durations with R

June 3, 2013
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Plotting Oracle RMAN backup durations with R

  How long does your Oracle RMAN backup take to complete?  How does this vary over time?  Are there patterns by week, week of month, or day of week?   The gist below can help you evaluate questions like these.… Read more ›

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Creating a zoomable map of tweets with R

June 3, 2013
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Creating a zoomable map of tweets with R

Languages tweeted around Germany: red, blue, green, yellow, grey are for German, French, English, Dutch and other  respectively. See here for a zoomable version.Motivated by the project twitter languages of New York I wanted to...

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Grid Search for Free Parameters with Parallel Computing

June 1, 2013
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Grid Search for Free Parameters with Parallel Computing

In my previous post (http://statcompute.wordpress.com/2013/05/25/test-drive-of-parallel-computing-with-r) on 05/25/2013, I’ve demonstrated the power of parallel computing with various R packages. However, in the real world, it is not straight-forward to utilize these powerful tools in our day-by-day computing tasks without carefully formulate the problem. In the example below, I am going to show how to use the

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Flotsam 12: early June linkathon

June 1, 2013
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A list of interesting R/Stats quickies to keep the mind distracted: A long draft Advanced Data Analysis from an Elementary Point of View by Cosma Shalizi, in which he uses R to drive home the message. Not your average elementary point of view. Good notes by Frank Davenport on starting using R with data from

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Visualizing a One-Way ANOVA using D3.js

May 31, 2013
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A while ago I was playing around with the JavaScript package D3.js, and I began with this visualization—that I never really finished—of how a one-way ANOVA is calculated. I wanted to make the visualization interactive, and I did integrate some interactive elements. For instance, if you hover over a data point it will show the residual, and its value will be highlighted in...

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Scenario analysis for option strategies.

May 30, 2013
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Scenario analysis for option strategies.

Introduction to the project I am working on at the moment. It is more a playground for option strategies than "project" at this stage. The idea is to develop accurate scenario analysis on portfolio, which is based on a single underlying. In the past I ...

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Parallel Processing: When does it worth?

May 29, 2013
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Parallel Processing: When does it worth?

Most computers nowadays have few cores that incredibly help us with our daily computing duties. However, when statistical softwares do use parallelization for analyzing data faster? R, my preferred analytical package, does not take too much advantage of multicore processing by default. In fact, R has been inherently a “single-processor” package until nowadays. Stata, another

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Parallel Processing: When does it worth?

May 28, 2013
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Parallel Processing: When does it worth?

Most computers nowadays have few cores that incredibly help us with our daily computing duties. However, when statistical softwares do use parallelization for analyzing data faster? R, my preferred analytical package, does not take too much advantage of multicore processing by default. In fact, R has been inherently a “single-processor” package until nowadays. Stata, another decent...

Read more »

Parallel Processing: When does it worth?

May 28, 2013
By
Parallel Processing: When does it worth?

Parallel computing is incredibly useful, but not every thing worths distribute across as many cores as possible. Most computers nowadays have few cores that incredibly help us with our daily computing duties. However, when statistical softwares do use parallelization for analyzing data faster? R, my preferred analytical package, does not take too much advantage of multicore processing...

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