After posting so many entries about typos in my books (making you wonder how there could be any text left!) and postponing their classification for so long, I decided on Saturday afternoon to collect those entries into a comprehensive pdf document that should be more useful for readers. I incidentally noticed that my book web-page 
While 'R' is getting enterprise ready, it's no longer the only open source option for advanced statistical programming. jStat.js is the new kid on the block.Things in favor of jStat:Based on Javascript, jQuery - future is assuredLight-weightAbility to ...
I posted last week a simple function to plot networks using ggplot2 package. Here is version 2. I still need to work on figuring out efficient vertex placement.Changes in version 2:-You have one of three options: use an igraph object, a matrix, or a da...
Robert Muenchen, the author of R for SAS and SPSS Users (A great book I’m proud to have on my shelf), has published this week an article in which he compares the popularity/market-share of many of the common statistical packages including R, SAS, SPSS and many others. The full article is available on r4stats.com at: ”The Popularity of Data Analysis...
Another release (1.1.90) by Conrad Sanderson for his wonderful Armadillo templated C++ library for linear algebra appeared yesterday. Consequently, a new release 0.2.17 of RcppArmadillo, our Rcpp-based integration into R is now on CRAN mirrors. The...
Tech news site The Register has just published an in-depth profile of Revolution Analytics. It was great meeting the author Dan Olds at Revolution HQ a couple of weeks ago, and sharing with him why we think the R language is the way forward for data science: modern, applied, large-scale statistical analysis. He captures that sentiment perfectly in the...
In some work that I am currently involved in, we have to decide which GUI engine we should use. As an obvious starter, we decided to have a look at what other people are using in their packages. While cran helpfully displays all the R packages that are available, it doesn’t (I don’t think), give 
The cornerstone of your analysis and quantitative trading algorithms are data. There are lots of different ways how to do it in R (depending of what your investment instruments are). Today I am going to download data from finance.yahoo which are stock ...
Jeremy Howard gave a talk at the Melbourne R User Group on 16th March 2011. Jeremy provided tips on how to successfully compete in data mining competitions. He showed how he combines R with other tools to build predictive models. … Continue reading →
Applied R for the quantitative social scientist is a manual on R written specifically as an introduction for the quantitative social scientist. To my opinion, R-Project is a magnificent statistical program, ready to be accepted and implemented in the social sciences. The flexibility of this program and the way data are handled gives the user a sense of closeness...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
