Monthly Archives: September 2010

Weekend art in R (Part 4)

September 4, 2010
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Weekend art in R (Part 4)

Computer creations are perfect by design. We put in numbers, and if all goes well we get out an exact result. If we want a line, we want it perfectly straight. If we want a circle, it should conform to the platonic ideal of a circle. From a mathematical standpoint, these perfect shapes and precisely

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Cricket data analysis

September 4, 2010
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Cricket data analysis

Cricket World Cup 2011 is approaching and I'm interested in analyzing one day international cricket data to predict some results and share interesting information about cricket.  For the analysis, I need cricket data and tried several things to ge...

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Creating a Presentation with LaTeX Beamer – Frame Transitions

September 4, 2010
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Creating a Presentation with LaTeX Beamer – Frame Transitions

Transitions are often used in presentations to break up the presentation and to keep the audience awake, but often the outcome is irritation/distraction with text or other objects flying on or off the screen from different directions. As such they should be used sparingly if at all in a talk. LaTeX beamer has a simple

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Oh (de)bugger! Part II

September 3, 2010
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Oh (de)bugger! Part II

In the first part of this series, I discussed some standard debugging techniques, like the use of the browser function. One of the limitations of browser is that it isn’t much help if the problem is somewhere higher up the call-stack. ... The function I’m going to show you uses sys.calls to retrieve the call stack, and sys.frames...

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Fourteen patches to speed up R

September 3, 2010
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Fourteen patches to speed up R

Following my discovery of two surprising inefficiencies in R, I’ve been inspired to spend much of the last two weeks looking for ways to speed it up. I’ve had quite a bit of success, both at finding ways to speed up particular functions, and at finding ways to reduce general interpretive overhead. You can get

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Moshtemp4.0

September 3, 2010
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Moshtemp4.0

Now that SST has been processed with raster we can return to the land processing and put that on the same footing. To get there I’ll rebuild from scratch making some minor adjustments along the way. As we go foward the amount of code we have to write should become less and less because we

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Competition: Data Visualization with ggplot2

September 3, 2010
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Competition: Data Visualization with ggplot2

The ggplot2 package for R is an amazing system for creating entirely new visualizations of data. It allows data analysts to tell a detailed, meaningful and yet easy-to-interpret story about complex and/or unusual data sets. To promote more data stories being told, ggplot2 author Hadley Wickham has organized a ggplot2 case study competition. Simply create a new visualization of...

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NIPS 2010: Monte Carlo workshop

September 3, 2010
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NIPS 2010: Monte Carlo workshop

In the wake of the main machine learning NIPS 2010 meeting in Vancouver, Dec. 6-9 2010, there will be a very interesting workshop organised by Ryan Adams, Mark Girolami, and Iain Murray on Monte Carlo Methods for Bayesian Inference in Modern Day Applications, on Dec. 10. (And in Whistler, not Vancouver!) I wish I could

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Bot Botany – K-Means and ggplot2

September 2, 2010
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Bot Botany – K-Means and ggplot2

So if you had a robot that was an expert at botany - would you have a bot botanist?  Among other things, it would need to to distinguish flowers through vision and image processing, and be able to classify various kinds of plants based upon specif...

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Bot Botany – K-Means and ggplot2

September 2, 2010
By
Bot Botany – K-Means and ggplot2

So if you had a robot that was an expert at botany - would you have a bot botanist?  Among other things, it would need to to distinguish flowers through vision and image processing, and be able to classify various kinds of plants based upon specif...

Read more »