Monthly Archives: March 2011

A 3D Version of R’s curve() Function

March 21, 2011
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A 3D Version of R’s curve() Function

I like exploring the behavior of functions of a single variable using the curve() function in R. One thing that seems to be missing from R’s base functions is a tool for exploring functions of two variables. I asked for examples of such a function on Twitter today and didn’t get any answers, so I

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Updated infochimps R package, includes several new APIs

March 21, 2011
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Recently, the good folks at Infochimps.com rolled out a series of new APIs to add to their already impressive set of data resources. I have been in a perpetual state of catch-up since the new year, so I have only now got around to adding some of these new APIs to the infochimps R package. Here

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Code Highlighter for R in WordPress

March 21, 2011
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First of all, welcome to my blog! I will write posts about trading, quantitative and algorithmic trading, programming and everything else what is on my mind. Feel free to comment and give suggestions how to improve this blog. Thank you! Well, one of th...

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RStudio Keyboard Shortcut Reference PDF

March 21, 2011
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I recently started using RStudio, the amazing new IDE for R. You can view all of RStudio's keyboard shortcuts by going to the help menu, but I made this printable reference for myself and thought I'd share it. I only included the Windows shortcuts, and...

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NBA Analysis: Coming Soon!

March 21, 2011
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NBA Analysis:  Coming Soon!

I decided to spend a few hours this weekend writing the R code to scrape the individual statistics of NBA players (2010-11 only).  I originally planned to write up a few NBA-related analyses, but a friend was visiting from out … Continue reading →

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Day #8 Calling R in java

March 21, 2011
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What is JRI? An additional library and plugin for Eclipse to call r functions in a Java-application. And according to wikipedia it’s  a now obsolete API for invoking native C++ calls from Java that has long been supplanted by Java Native Interfa...

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Looking at the "Curse of Dimensionality" with R, foreach, and lattice

March 20, 2011
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Looking at the "Curse of Dimensionality" with R, foreach, and  lattice

Here are the results of a "Curse of Dimensionality" homework assignment for Terran Lane's Introduction to Machine Learning class. Pretty pictures, interesting results, and a good exercise in explicit parallelism with R. It's neat to see distance scaling linearly with standard deviation, and linearly with the Lth-root...

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Fast(ish) extraction of exon locations from a BED12 file using data.table

March 20, 2011
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Here is a fast R function to extract exon locations from a BED12 file. Note that fast is a relative term, the function below is fast enough for me, may not be fast enough for others :) Anyway, a BED12 file typically has locations of genomic features (t...

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Machine Learning Ex5.2 – Regularized Logistic Regression

March 20, 2011
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Machine Learning Ex5.2 – Regularized Logistic Regression

Exercise 5.2 Improves the Logistic Regression implementation done in Exercise 4 by adding a regularization parameter that reduces the problem of over-fitting. We will be using Newton's Method. Data Here's the data we want to fit. # linear regression # load the data mydata = read.csv("http://spreadsheets.google.com/pub?key=0AnypY27pPCJydHZPN2pFbkZGd1RKeU81OFY3ZHJldWc&output=csv", header = TRUE) # plot the data plot(mydata$u, mydata$v,, xlab="u", ylab="v") points(mydata$u,...

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Bertand’s paradox [R details]

March 19, 2011
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Bertand’s paradox [R details]

Some may have had reservations about the “randomness” of the straws I plotted to illustrate Bertrand’s paradox. As they were all going North-West/South-East. I had actually made an inversion between cbind and rbind in the R code, which explained for this non-random orientation. Above is the corrected version, which sounds “more random” indeed. (And using

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