Posts Tagged ‘ R ’

Mapping Capabilities in R

November 2, 2012
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Mapping Capabilities in R

From time-to-time creating a basic map of the United States or other parts of the world to complement some statistical analysis is useful to emphasize a point. The maps package in R provide a good way to produce these these maps.  These maps axes are based on latitude and longitude so overlaying other information on

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Watch Obama and Romney criss-cross the US

November 1, 2012
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Watch Obama and Romney criss-cross the US

The Washington Post has an interactive graphic showing the rate at which the US presidential candidates Barack Obama and Mitt Romney have visited the various states for campaign rallies and fundraisers. Here's how it looks today: You can clearly see the focus on key swing states like Florida and Ohio, as well as non-competitive (but donor-rich) states like California...

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R in the Press

November 1, 2012
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R in the Press

Here is the list of press reports and news about R Bits (A bog under The New York Times) R you ready for R? by Ashlee Vance Published: January 8, 2009, 1:52 PM The New York Times Data Analysts Captivated by R’s Power by Ashlee Vance Published: January 6, 2009  InfoWorld The BI battle isn’t

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Regime Detection

October 31, 2012
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Regime Detection

Regime Detection comes handy when you are trying to decide which strategy to deploy. For example there are periods (regimes) when Trend Following strategies work better and there are periods when Mean Reversion strategies work better. Today I want to show you one way to detect market Regimes. To detect market Regimes, I will fit

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More data apps spawned by Sandy

October 31, 2012
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More data apps spawned by Sandy

As the clean-up continues on the eastern seaboard, I wanted to follow up on Monday's post on tracking Hurricane Sandy with Open Data with a couple of other R-based data applications spawned by the storm. Josef Fruehwald created an R script to tap into local weather sensors to keep track of air pressure, wind speed and rainfall near his...

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R among TechCrunch’s 5 Trendy Open-Source Techs for Big Data

October 30, 2012
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Tim Gasper (Product Manager at Big Data platform Infochimps) has an informative article at TechCrunch that provides an overview of five open-source technologies trending now for Big Data applications. They are: Storm and Kafka (for processing stream data) Drill and Dremel (for ad-hoc queries of big data) R (for data science with big data) Gremlin and Giraph (for graph...

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visit to ISU

October 30, 2012
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visit to ISU

  A short visit to ISU but and therefore a busy and proftable day! About ten appointments in Snedecor Hall after a nice morning run, a highly attended Zyskind Lecture, and many interesting discussions all over the day: e.g., I had a great time discussing using null recurrent Markov chains for integral approximations with Krishna

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On weather forecasts, Nate Silver, and the politicization of statistical illiteracy

October 30, 2012
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On weather forecasts, Nate Silver, and the politicization of statistical illiteracy

As you know, we have a thing for statistical literacy here at Simply Stats. So of course this column over at Politico got our attention (via Chris V. and others). The column is an attack on Nate Silver, who has a blog where he tries to predict the outc...

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Tracking Hurricane Sandy with Open Data and R

October 29, 2012
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Tracking Hurricane Sandy with Open Data and R

Hurricane Sandy is shaping up to be a major, and very dangerous, meteorological event for the US's East coast. Naturally, everyone is looking for the latest information and forecasts. Fortunately, the wealth of public meteorological data available on the open web, combined with real-time on-the-ground updates via social media, means that an ecosystem of on-line apps is now available...

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Charting Wikipedia interest in GOP candidates with googleVis

October 29, 2012
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I recently posted an article on how to collate Wikipedia page views As there is a time component to this, it seemed appropriate to use the googleVis Package to visualize changes in page hits in the Google Motion chart For this exercise, I ran the wikiFun function covered in the last post to collate page

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