Monthly Archives: October 2012

Mixed distribution

October 28, 2012
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In the football data there was some reason to use a mixed distribution in the football data (ref) so I tried doing that. It was more difficult than I expected. Not only is a mixture of distributions fairly difficult, also the system was over parameteri...

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Animated map of 2012 US election campaigning, with R and ffmpeg

October 28, 2012
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(Video link here, in case the embedded player doesn’t work for you.) Idea: see if I can mimic the idea behind Ben Schmidt’s lovely video of ocean shipping routes, and apply it to another dataset. But which? “Hmm… what’s another … Continue reading →

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Watch Sandy in “R” (Including Forecast Cone)

October 28, 2012
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Watch Sandy in “R” (Including Forecast Cone)

As indicated in the code comments, Google took down the cone KML files. I’ll be changing the code to use the NHC archived cone files later tonight NOTE: There is significantly updated code on github for the Sandy ‘R’ dataviz. This is a follow-up post to the quickly crafted Watch Sandy in “R” post last

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Replicating Krugman (Pt. 1)

October 27, 2012
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I'm a regular reader of Paul Krugman's NYT blog. A couple of months ago I decided to replicate some of the plots Paul published. At the time I was evaluating the quantmod package which seemed to made things easy. An easy startIn the first part I'll rep...

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Watch “Sandy” In R

October 27, 2012
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Watch “Sandy” In R

UPDATE: Significantly updated code on githubWell, a couple folks asked how to make it more “centered” on the hurricane and stop the labels from chopping off, so I modified the previous code a bit to show how to do that. As indicated in the code comments, Google took down the cone KML files. I’ll be

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the little half (another Le Monde puzzle)

October 27, 2012
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the little half (another Le Monde puzzle)

I found this Le Monde puzzle of June 16 I had stored and then somehow forgotten with my trips to Japan and Australia: There are n beans in a box, with 98≤n≤102). Two players take at each round either one bean from the box or “the little half” (i.e. the integral part of the half)

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Characterizing a new dataset

In my last post, I promised a further examination of the spacing measures I described there, and I still promise to do that, but I am changing the order of topics slightly.  So, instead of spacing measures, today’s post is about the DataframeSummary procedure to be included in the ExploringData package, which I also mentioned in my last post...

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Feature selection and linear modeling

October 27, 2012
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(This article was first published on Digithead's Lab Notebook, and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on their blog: Digithead's Lab Notebook. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming...

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.Rhistory

October 27, 2012
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Over the last couple of years I've been using R every now and then. When I stumbled upon an interesting topic, and I managed to get a hold of a data set, I tried to make sense of it using R.It's a bit like the Stat Labs approach: I might get started by...

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Book Review: R for Business Analytics, A Ohri

October 26, 2012
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Book Review:    R for Business Analytics,    A Ohri

      I've added a recently released book to my list of recommendations (at the amazon carousel to the right), as I've reviewed a copy provided to me via Springer Publishers. The book is R for Business Analytics, authored by A Ohri.&nbsp...

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