In the mixed effects regression for all 10 countries in the research I mentioned previously on this blog http://stevepowell99.posterous.com/which-parents-are-satisfied-with-their-childs, while school mean of "parents believing their represen...

In the mixed effects regression for all 10 countries in the research I mentioned previously on this blog http://stevepowell99.posterous.com/which-parents-are-satisfied-with-their-childs, while school mean of "parents believing their represen...

In the mixed effects regression for all 10 countries in the research I mentioned previously on this blog http://stevepowell99.posterous.com/which-parents-are-satisfied-with-their-childs, while school mean of “parents believing their representatives are effective” was significantly positively related to their overall satisfaction with education, this effect was dwarfed by the contribution of this variable at individual level, even when allowing

Last month, the newest member of Revolution's engineering team, Saptarshi Guha, gave a presentation at Hadoop World 2010 on using R and Hadoop to analyze 1.3 billion voice-over-IP packets to identify calls and measure call quality. Saptarshi, of course, is the author of RHIPE, which lets R programmers write map-reduce algorithms in the Hadoop framework without needing to learn...

This is Part 4 of a five-part article series, with new parts published each Thursday. You can download the complete article from the Revolution Analytics website. High Quality Graphics, Made Easy R is especially useful for generating charts and graphics, quickly and easily. The ability to create visual plots of complex data is more than just a handy trick;...

The online training provider Statistics.com has three great courses based on R coming up in the next few months: Nov. 5 - Dec. 3: "Graphics in R," with Paul Murrell Nov. 20 – Dec. 18: Support Vector Machines in R" with Dr. Lutz Hamel Dec. 17 - Jan. 22: "Geostatistics in R" with Prof. David Unwin The courses take...

This is sort-of related to my sidelined study of graph algebra. I was thinking about data I could apply a first-order linear difference model to, and the stock market came to mind. After all, despite some black swan sized shocks, what better predicts a day’s closing than the previous day’s closing? So,