February 2012

R 2.14.2 and R 2.15.0 coming soon

February 13, 2012 | David Smith

The R core group has announced release dates for the next two versions of R (with their code names): 2.14.2 "Gift-Getting Season" on Feb 29 (3rd anniversary of R-1.0.0!) 2.15.0 "Easter Beagle" on Mar 30 R 1.0.0 was released twelve years ago on February 29, 2000; this will be the third February 29 since then. (Hence Peter Dalgaard's ... [Read more...]

RStudio in the cloud, for dummies

February 13, 2012 | Ken Kleinman

You can have your own cloud computing version of R, complete with RStudio. Why should you? It's cool! Plus, there's a lot more power out there than you can easily get on your own hardware. And, it's R in a web page. Run it from your tablet. Run i...
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In case you missed it: January Roundup

February 13, 2012 | David Smith

In case you missed them, here are some articles from January of particular interest to R users. Sponsorships from Revolution Analytics are now available for local R user groups in 2012. The winners of the Applications of R in Business Contest have been announced. The coefplot package visualizes model coefficients and ... [Read more...]

A slice of S&P 500 kurtosis history

February 13, 2012 | Pat

How fat tailed are returns, and how does it change over time? Previously The sister post of this one is “A slice of S&P 500 skewness history”. Orientation The word “kurtosis” is a bit weird.  The original idea was of peakedness — how peaked is the distribution at the center.  That’... [Read more...]

Multiple Factor Model – Building CSFB Factors

February 12, 2012 | systematicinvestor

This is the third post in the series about Multiple Factor Models. I will build on the code presented in the prior post, Multiple Factor Model – Building Fundamental Factors, and I will show how to build majority of factors described in the CSFB Alpha Factor Framework. For details of the ... [Read more...]

The R-Podcast Episode 1: Introduction

February 12, 2012 | The R-Podcast

Here is the inaugural episode of the R-Podcast! In this episode, I take a few minutes to introduce myself and to explain the main goals of this podcast. I also define what R is and give an overview of R’s history of development and features that distinguish it from ... [Read more...]

Elegant & fast data manipulation with data.table

February 12, 2012 | Carl

Just learned about the R data.table package (ht @recology_) makes R data frames into ultra-fast, SQL-like objects. One thing we get is some very nice and powerful syntax. Consider some simple data of replicate time series: To apply a function to each set of replicates, instead of We can ... [Read more...]

"R" PLS Package: Multiple Scatter Correction (MSC)

February 12, 2012 | jrcuesta

MSC (Multiple Scatter Correction) is a Math treatment to correct the scatter in the spectra. The scatter is produced for different physical circumstances as particle size, packaging.Normally scatter make worse the correlation of the spectra with the constituent of interest.Almost all the chemometric software’s available include this ...
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Machine Learning Examples in R

February 12, 2012 | Pete

This is a post that has been a long time in the making. Following on from the excellent Stanford Machine Learning Course I have made examples of the main algorithms covered in R.We have Linear RegressionFollowed by Neural NetworksAnd Support ... [Read more...]

Classifying Breast Cancer as Benign or Malignant Using RTextTools

February 11, 2012 | RTextTools: a machine learning library for text classification - Blog

RTextTools has largely been used for topic classification in the social sciences. However, recent discussions with researchers at various universities have demonstrated that the package can be applied to a host of problems in the natural sciences as well.One such application is using text classification to identify breast cancer ... [Read more...]

piecewise regression

February 11, 2012 | Eran

A beta of a stock generally means its relation with the market, how many percent move we should expect from the stock when the market moves one percent. Market, being a somewhat vague notion is approximated here, as usual, using … Continue reading → [Read more...]

R jags rjags on an ec2 instance

February 11, 2012 | Chris Wheadon

Winbugs and Jags free Item Response Theory from the dot matrix plots of proprietary software and open up a multicoloured world of posterior predictive model checking. Fitting IRT models using brute force is not for the impatient, however. That’s why, just as early psychometricians shipped off their calculations to ... [Read more...]
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