Monthly Archives: January 2012

Sentiment Analysis, the R way, on Netflix’s September 18th Announcement

January 30, 2012
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Re-posting this blog from my other blog on Analytics (http://allthingsbusinessanalytics.blogspot.com/)Did Netflix make a bad move or a bold move, only time will tell but for now here is a simple sentiment analysis using R and TwitteR pac...

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useR! 2012: Earlybird Registration for International R Users Conference, Nashville TN 12-15 2012

January 30, 2012
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The 8th international R users conference useR! 2012 will be in Nashville TN USA June 12-15 with a special all-day pre-conference course from Bill Venables on June 11. We have a terrific lineup of half-day tutorials on June 12 and will have invited and contributed presentations of interest to a wide variety of R users. Details may be found...

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Converting grads files to NetCDF from within R using CDO

January 30, 2012
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A while back I wrote a blog post on the R package I wrote for reading and manipulating grads data. The library is quite basic, and does not support a number of grads data file options: Using one ctl file,… See more ›

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Geopolitics

January 30, 2012
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Geopolitics

The graduated symbol schematics below have been created in R (using ‘symbols’). They plot combinations of country territorial and population sizes. Instead of dividing for population density we multiply for a function of both. The total of box areas is … Continue reading →

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Printing nested tables in R – bridging between the {reshape} and {tables} packages

January 29, 2012
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Printing nested tables in R – bridging between the {reshape} and {tables} packages

This post shows how to print a prettier nested pivot table, created using the {reshape} package (similar to what you would get with Microsoft Excel), so you could print it either in the R terminal or as a LaTeX table. This task is done by bridging between the cast_df object produced by the {reshape} package,

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Some new functions I’ve discovered in R

January 29, 2012
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Some new functions I’ve discovered in R

I’ve been writing a fair amount of R recently and have been going through a good learning period, here are some functions that I’ve discovered (mainly plyr and reshape related) and thought I would share: merge_all is a good way to merge multiple different data frames, rather than multiple merge commands. The key thing is … Continue reading...

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Removing Multibyte Characters from Strings

January 29, 2012
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I was a bit annoyed by the error when loading a dataset that contains multi-byte characters. R basically just chokes on them. I have not really understood the intricacies of this, but it was basically just an annoyance and since I did not really use these characters in the strings containing them, I just wanted

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hmm: implementation of viterbi algorithm (Durbin, 1998) Part 2

January 29, 2012
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hmm: implementation of viterbi algorithm (Durbin, 1998) Part 2

Previous post presented the problem of dishonest casino that ocassionally uses loaded die. Sequence of the real states is hidden, and we are trying to figure it out just by looking at the observations (symbols). If we apply our implementation … Continue reading →

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Visual Summary of #jan25 Twitter Activity

January 29, 2012
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Visual Summary of #jan25 Twitter Activity

  Last year, I covered a number of the so-called “Twitter protests” in China (#cn220), Iran (#25bahman), and Algeria (#fev12).  Since these protests began in January 2011, the Arab Spring has claimed many members of both ruling and revolting groups … Continue reading →

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Multiple Factor Model – Fundamental Data

January 28, 2012
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Multiple Factor Model – Fundamental Data

The Multiple Factor Model can be used to decompose returns and calculate risk. Following are some examples of the Multiple Factor Models: The expected returns factor model: Commonality In The Determinants Of Expected Stock Returns by R. Haugen, N. Baker (1996) The expected returns factor model: CSFB Quantitative Research, Alpha Factor Framework on page 11,

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