2014 search results for "Map"

Once you’re comfortable with 2-arrays and 2-matrices, you…

October 15, 2011
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Once you’re comfortable with 2-arrays and 2-matrices, you…

Once you’re comfortable with 2-arrays and 2-matrices, you can move up a dimension or two, to 4-arrays or 4-tensors. You can move up to a 3-array / 3-tensor just by imagining a matrix which “extends back into the blackboard”. Like a 5 × 5 ma...

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Once you’re comfortable with 2-arrays and 2-matrices, you…

October 15, 2011
By
Once you’re comfortable with 2-arrays and 2-matrices, you…

Once you’re comfortable with 2-arrays and 2-matrices, you can move up a dimension or two, to 4-arrays or 4-tensors. You can move up to a 3-array / 3-tensor just by imagining a matrix which “extends back into the blackboard”. Like a 5 × 5 ma...

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Maximum Loss and Mean-Absolute Deviation risk measures

October 14, 2011
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Maximum Loss and Mean-Absolute Deviation risk measures

During construction of typical efficient frontier, risk is usually measured by the standard deviation of the portfolio’s return. Maximum Loss and Mean-Absolute Deviation are alternative measures of risk that I will use to construct efficient frontier. I will use methods presented in Comparative Analysis of Linear Portfolio Rebalancing Strategies: An Application to Hedge Funds by

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Implementing K-means clustering for Hadoop in R and Java

October 14, 2011
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Implementing K-means clustering for Hadoop in R and Java

At the Bay Area R User Group meeting this week, Antonio Piccolboni gave an overview of the design goals and implementation of the RHadoop Project packages that connect Hadoop and R: rhdfs, rhbase and rmr: (The image above was captured from Antionio's slides.) The most revealing part of the talk for me was the comparison of implementing the K-means...

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Mining Lending Club’s Goldmine of Loan Data Part I of II – Visualizations by State

October 14, 2011
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Mining Lending Club’s Goldmine of Loan Data Part I of II – Visualizations by State

I have a few friends that keep bragging about their 14% annual returns by investing their money with Lending Club, a peer-to-peer lending service that cuts out the complexities and difficulties of getting approved for a loan through a bank. To give you an idea of the sheer amount of volume Lending Club has been

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Percentage of Organic Farming Operations by State

October 12, 2011
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Percentage of Organic Farming Operations by State

With data from the USDA on certified organic farms for 2008.  I created a map using the Geo Map function from the googleVis API package available in R.  I’ve copied and pasted the image below as WordPress.com sites don’t support … Continue reading →

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What’s there to like about R?

October 12, 2011
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What’s there to like about R?

Update 10/11/2011: There’s a good discussion on RedditUpdate 10/12/2011: Note manipulate package and highlight data.table packageThe R statistical computing platform is a rising star that’s been gaining popularity and attention, but it gets no respect in the hood. It’s telling that a popular guide to R is called The R Inferno, and that advocacy pieces Follow me on...

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Where to find data to use with R

October 11, 2011
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(Contributing blogger Joe Rickert has put together a fantastic list of data sources suitable for use with R. If you're looking for data to use in the Applications of R Contest -- entries close October 31 -- this is a great resource for you -- Ed.) Hardly a day goes by without someone or something reminding me that we...

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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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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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