In case you missed them, here are some articles from February of particular interest to R users. February 29 marked the 12th anniversary of the release of R 1.0.0, and the release of R 2.14.2. A list of commercial vendors who have integrated R with their products for data, analysis, and presentation. The ... [Read more...]

We're starting to see a deluge of companies who businesses are all about making data analysis/science/insight "easy for the non-expert". We've been here before, quite a few times sadly. When I started writing software 12 years ago, there was... [Read more...]

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With BerkeleyEarth 1.6 posted to CRAN I figured it was time to do some sample programs to explain how the package worked and integrated with other packages. Also, I have some issues to check out with the metadata; and in the long run I want to reformulate my metadata package to ... [Read more...]

[This article was first published on twotorials by anthony damico, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to [Read more...]

Italy now has three local R user groups, thanks to the recent formation of MilanoR in the city of Milan. Founded by R consulting company Quantide's Andrea Spanò, R-core member and University of Milan professor Stefano Iacus, and quantitative consultant Daniele Amberti, MilanoR will be a forum to "exchange knowledge, ... [Read more...]

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If the goal of the Invisible Children campaign, which has received millions of dollars of contributions since the Kony 2012 video went viral, is to convince us that the money is being put to humanitarian efforts, they could do a lot better than this chart: Putting 37% of expenses into programs in ... [Read more...]

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Breaking my dissertation and administrata induced silence for a small rant combining two of my favorite things – Apple Computer Inc, and simulation. Recently, the New York Times featured the article ‘Apple Confronts the Law of Large Numbers‘. The fundamental assertion? That the earnings growth and stock price of Apple cannot ... [Read more...]

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In the previous post on RcppEigen I described an example of sampling from collection of multinomial distributions represented by a matrix of probabilities.  In the timing example the matrix was 100000 by 5 with each of the 100000 rows summing... [Read more...]

This is a very basic introduction to the ggplot2 package.  A much more detailed description of the package can be found in this book ggplot2: Elegant Graphics for Data Analysis. On his website (http://had.co.nz/ggplot2/) package author Hadley Wickham describes ggplot2 asa plotting system for R, based ... [Read more...]

Here is the inaugural R-Podcast Screencast: Basic Interaction with R. This screencast contains audio from episode 3 of the R-Podcast. In this screencast I demonstrate how to create a vector of numerical data, calculating means, installing and loading packages, and getting help for a function. You can find the R code ... [Read more...]

This will be probably be a final posting on interpolation of xyz data as I believe I have come to some conclusions to my original issues. I show three methods of xyz interpolation:1. The quick and dirty method of interpolating projected xyz points (bi-linear)2. Interpolation using Cartesian coordinates (bi-linear)3. Interpolation ... [Read more...]

useR! 2012 is just around the corner. The deadline for talk and poster abstract submissions is today! Submit your abstract here. [Read more...]

A bit of testing of the estimation of the variance matrix for S&P 500 stocks in 2011. Previously There was a plot in “Realized efficient frontiers” showing the realized volatility in 2011 versus a prediction of volatility at the beginning of the year for a set of random portfolios.  A reader commented ... [Read more...]

The Manifesto Project (former Manifesto Research Group, Comparative Manifestos Project) has assembled a database of ‘quantitative content analyses of parties’ election programs from more than 50 countries covering all free, democratic elections since 1945′ and is freely accessible online. The … Continue reading → [Read more...]

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A few days ago, my friend asked me is there any function in R to generate lag/lead variables in a data.frame or did similar thing as _n in stata. He would like to use that to clean-up his dataset in R. In stata help manual: _n contains the ... [Read more...]