Monthly Archives: October 2011

Artist view of crimes in London

October 10, 2011
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Artist view of crimes in London

At first sight, one could think this picture is a scale model of some narrow moutains, like Bryce Canyon… Actually it represents crimes in East London, an cardboard artwork by the Londoner artist Abigail Reynolds, called Mount Fear.  Here is what can be read on the artist’s webpage: The terrain of Mount Fear is generated

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single-column data frame

October 10, 2011
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This is a trivial but very useful tip:> x=data.frame(a=1:4, c=5)> x a c1 1 52 2 53 3 54 4 5> x a c1 1 5> x 1 2 3 4> x a1 12 23 34 4where you can see that:to avoid a become a vector, rather than a...

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k-mean clustering + heatmap

October 10, 2011
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If you want more info about clustering, I have another post about "Clustering analysis and its implementation in R". Here is the link:  http://onetipperday.blogspot.com/2012/04/clustering-analysis-2.html------------Several R functions in this...

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Reading HTML pages in R for text processing

October 10, 2011
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We were talking with one of my colleagues about doing some text analysis—that, by the way, I have never done before—for which the first issue is to get text in R. Not any text, but files that can be accessed … Continue reading →

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An R function to determine if you are a data scientist

October 10, 2011
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An R function to determine if you are a data scientist

“Data scientist” is one of the buzzwords in the running for rebranding applied statistics mixed with some computing. David Champagne, over at Revolution Analytics, described the skills for being a data scientist with a Venn Diagram. Just for fun, ...

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Plot Animation with Imported Images

October 10, 2011
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Plot Animation with Imported Images

...I really dig the animation package! ..so here's the outcome of my firsts encounters with saveHTML() - I produced an animation with pre-existing images by utilizing the functions readJPEG() and rasterImage() from the R-packages jpeg and ReadImage...

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How can you do a smart job getting data from internet?

October 9, 2011
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I’d like to explore more the capabilities of my statistical packages to get data online and allocate it in memory instead of download each dataset by hand. After all, I found this task is pretty easy, but got me out of bed for one night trying to find the most efficient way to loop across

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The Skills of a Data Miner

October 9, 2011
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Data mining is not only statistics, even if statistics is the most recognized academic component of it. It also includes data cleaning, machine learning and data visualization. The scarce factor is the ability to understand that data and extract value ...

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Equality of Covariances Matrices Test in R (varcomp)

October 9, 2011
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Equality of Covariances Matrices Test in R (varcomp)

This is a piece of code I implemented in 2004, which was supposed to be part of an R-package in multivariate testing (to be named, rather creatively, mvttests). Time has flown, I haven’t still got around to implementing the said package, but people keep asking me for the varcomp function, so here it is, for

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understanding computational Bayesian statistics

October 9, 2011
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understanding computational Bayesian statistics

I have just finished reading this book by Bill Bolstad (University of Waikato, New Zealand) which a previous ‘Og post pointed out when it appeared, shortly after our Introducing Monte Carlo Methods with R. My family commented that the cover was nicer than those of my own books, which is true. Before I launch into

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