2901 search results for "TwitteR"

A simple example of parallel computing on a Windows (and also Mac) machine

May 8, 2012
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A simple example of parallel computing on a Windows (and also Mac) machine

by Yanchang Zhao, RDataMining.com With a Mac, parallel computing can be achieved with package multicore. Unfortunately, it does not work under Windows. A simple way for parallel computing under Windows (and also Mac) is using package snowfall, which can work … Continue reading →

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Cross Sectional Correlation

May 7, 2012
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Cross Sectional Correlation

Diversification is hard to find nowadays because financial markets are becoming increasingly correlated. I found a good visually presentation of Cross Sectional Correlation of stocks in the S&P 500 index in the Trading correlation by D. Varadi and C. Rittenhouse article. Let’s compute and plot the average correlation among stocks in the S&P 500 index

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relevant, revised, & resubmitted

May 7, 2012
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relevant, revised, & resubmitted

We have now completed our revision of the paper Relevant statistics for Bayesian model choice, written with Judith Rousseau, Jean-Michel Marin, and Natesh Pillai. It has been resubmitted to Series B and reposted on arXiv. The major change in the paper is the inclusion of a check about the relevance of a given summary statistics,

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Thursday: Tweet-chat on Multiple Sclerosis research

May 7, 2012
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The story about the great work that SUNY Buffalo has been doing to find a cure for Multiple Sclerosis with Revolution R Enterprise and IBM Netezza has generated a lot of attention, with stories in Forbes, InformationWeek and eWeek (amongst others). To continue the discussion, IBM has put together a panel for a "Tweet Chat" on Thursday (May 10)...

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PubMed publications in 2011 by 202 world countries: who’s the winner?

May 7, 2012
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PubMed publications in 2011 by 202 world countries: who’s the winner?

Which country had the most PubMed citations in 2011? To find out I used R statistical software to analyze the affiliation of 986 427 articles.

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Online resources for handling big data and parallel computing in R

May 6, 2012
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Online resources for handling big data and parallel computing in R

by Yanchang Zhao, RDataMining.com Compared with many other programming languages, such as C/C++ and Java, R is less efficient and consumes much more memory. Fortunately, there are some packages that enables parallel computing in R and also packages for processing … Continue reading →

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reshape (from base) Explained: Part II

May 5, 2012
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reshape (from base) Explained: Part II

Part II Explains More Complex  Wide to Long With base reshape  In part I of this base reshape tutorial we went over the basics of reshaping data with reshape.  We learned two rules that help us to be more efficient … Continue reading →

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R, now a major programming language, sees a 127% growth in book sales

May 4, 2012
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R, now a major programming language, sees a 127% growth in book sales

O'Reilly Radar tracks technology adoption via its annual "State of the Computer Book Market" report. In the latest report of 2011 book sales (amongst all publishers), books about R show a 127% increase in 2011 over 2010: As a language specifically for data analysis, R isn't in the same league in raw sales as general-purpose languages like C++ or...

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Ack! Duplicates in the Data!

May 3, 2012
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Ack!  Duplicates in the Data!

As I mentioned in a previous post, I compiled the data set that I’m currently working on in PostgreSQL.  To get this massive data set, I had to write a query that was massive by dint of the number of … Continue reading →

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what’s wrong with package comment?!

May 3, 2012
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what’s wrong with package comment?!

I spent most of the Sunday afternoon trying to understand why defining did not have the same effect as writing the line until I found there is a clash due to the comment package… The assuredly simple code produces an error message: This is quite an inconvenience as I need to compile my solution manual

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