2839 search results for "twitter"

Transaction Cost and Execution Price functionality in the Backtesting library in the Systematic Investor Toolbox

April 2, 2012
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Transaction Cost and Execution Price functionality in the Backtesting library in the Systematic Investor Toolbox

I want to introduce the Transaction Cost and Execution Price functionality in the Backtesting library in the Systematic Investor Toolbox. The Transaction Cost is implemented by a commission parameter in the bt.run() function. You may specify the commissions in $ per share for “share” type backtest and as a percentage of total trade for “weight”

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Web-Scraping in R

April 2, 2012
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Web-Scraping in R

Web-scraping, or web-crawling, sounds like a seedy activity worthy of an Interpol investigative department. The reality, however, is far less nefarious. Web-scraping is any procedure by which someone extracts data from the internet. Given that it’s possible to get the internet on computers these days; web-scrapping opens an array of interesting possibilities to social-science researchers

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An unabashedly narcissistic data analysis of my own tweets. The…

April 2, 2012
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An unabashedly narcissistic data analysis of my own tweets.
The…

pie( table( whence.i.tweet )) qplot( whence ) + coord_polar() pie( log( table( whence )))+RColorBrewer ggplot (see below) plot( density( tweets.len )) qplot(... stat="density") + geom_density qplot(...stat="bin") + geom_text(...) tweeple tweep...

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A better way of saving and loading objects in R

April 1, 2012
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A better way of saving and loading objects in R

Hadley Wickham (@hadleywickham) this week mentioned on Twitter his preference for saveRDS() over the more familiar save(). Being a new function to me, I thought I’d take a look… save() and load() will be familiar to many R users. They … Continue reading →

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A better way of saving and loading objects in R

April 1, 2012
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Hadley Wickham (@hadleywickham) this week mentioned on Twitter his preference for saveRDS() over the more familiar save(). Being a new function to me, I thought I’d take a look…

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Julia, I Love You

March 31, 2012
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Julia is a new language for scientific computing that is winning praise from a slew of very smart people, including Harlan Harris, Chris Fonnesbeck, Douglas Bates, Vince Buffalo and Shane Conway. As a language, it has lofty design goals, which, if attained, will make it noticeably superior to Matlab, R and Python for scientific programming.

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R-bloggers

March 29, 2012
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R-bloggers

OK, like the nightclub Kenan and Kel founded in Rigby’s shop, we all know this blog is ‘duh bomb’ (or will be as I add more than my solitary post). However, there are other good R blogs. I thoroughly recommend signing up to the R-b...

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Social Network Analysis with R

March 27, 2012
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Social Network Analysis with R

By Yanchang Zhao, RDataMining.com If you have tried social network analysis or graph mining with R, you might have already come across package igraph before. The package is designed for graphs and network analysis in R. It can handle large … Continue reading →

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Installing and Running JAGS on Mac OS 10.5.8

March 26, 2012
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Installing and Running JAGS on Mac OS 10.5.8

JAGS is an alternative to BUGS (WinBUGS or OpenBUGS) for conducting a Bayesian Analysis. It stands for Just Another Gibbs Sampler, and like WinBUGS, it is essentially an MCMC machine that employs a Gibbs sampler so you don’t have to … Continue reading →

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The R-Podcast Episode 4: Data Structures-Introduction

March 25, 2012
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In this episode: Site updates, additional screencasts about R from other sites, listener feedback, and discussion on the fundamental data structures for R: vectors, matrices, lists, and data frames. The R code discussed in this episode is available in our GitHub repository, see the show notes for details. Leave us a voicemail a +1-269-849-9780, or

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