2839 search results for "twitter"

My day out at #osddmalaria

May 10, 2012
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My day out at #osddmalaria

Finally, I get around to telling you that… …on Friday 24th February, I took a day out from my regular job to attend a meeting on Open Source Drug Discovery for Malaria. I should state straight away that whilst drug discovery and chem(o)informatics are topics that I find very interesting, I have no professional experience

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In case you missed it: April 2012 Roundup

May 10, 2012
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In case you missed them, here are some articles from April of particular interest to R users. Information Age published a feature article on R, describing how new graduates are driving adoption of R in industry. Bob Muenchen has updated his list of R package equivalents to SAS and SPSS procedures. A history of Data Science, including Bill Cleveland's...

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Simple Moving Average Strategy with a Volatility Filter: Follow-Up Part 3

May 10, 2012
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Simple Moving Average Strategy with a Volatility Filter: Follow-Up Part 3

In part 2, we saw that adding a volatility filter to a single instrument test did little to improve performance or risk adjusted returns. How will the volatility filter impact a multiple instrument portfolio? In part 3 of the follow up, I will evaluate the impact of the volatility filter on a multiple instrument test. … Continue reading...

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Simple Spatial Correlograms for Cross-Country Analysis in R

May 9, 2012
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Simple Spatial Correlograms for Cross-Country Analysis in R

Accounting for temporal dependence in econometric analysis is important, as the presence of temporal dependence violates the assumption that observations are independent units. Historically, much less attention has been paid to correcting for spatial dependence, which, if present, also violates this independence assumption. The comparability of temporal and spatial dependence is useful for illustrating why

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Book “R and Data Mining: Examples and Case Studies” on CRAN

May 9, 2012
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Book “R and Data Mining: Examples and Case Studies” on CRAN

by Yanchang Zhao, RDataMining.com My book in draft titled “R and Data Mining: Examples and Case Studies” is now available on CRAN at http://cran.r-project.org/other-docs.html. It is scheduled to be published by Elsevier in late 2012. Its latest version can be … Continue reading →

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Memory Management in R, and SOAR

May 8, 2012
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Memory Management in R, and SOAR

The more I’ve worked with my really large data set, the more cumbersome the work has become to my work computer.  Keep in mind I’ve got a quad core with 8 gigs of RAM.  With growing irritation at how slow … Continue reading →

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R and Foursquare’s recommendation engine

May 8, 2012
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R and Foursquare’s recommendation engine

Foursquare, the mobile location-sharing app (of which I'm a big fan), has an excellent recommondation system. Based on your recent checkins, places your friends found popular, and even the time of day, Foursquare Explore will recommend a great place for a sushi lunch, or the best place to buy new shoes. This presentation from Foursquare engineer Ben Lee shows...

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Heartbeat of a Cycling City: Bixi data at Hack/Reduce

May 8, 2012
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Heartbeat of a Cycling City: Bixi data at Hack/Reduce

The recent Hack/Reduce hackathon in Montreal was a tonne of fun. Our team tackled a data set of consisting of Bixi (Montreal’s bicycle share system) station states at one minute temporal resolution. We used Hadoop and mapreduce to pull out some features of user behaviours. One of the things we extracted was the flux at

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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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