In my last blog, Big Data, R and SAP HANA: Analyze 200 Million Data Points and Later Visualize Using Google Maps, I analyzed historical airlines performance data set using R and SAP HANA and put the aggregated analysis on Google Maps. Undoub...

R news and tutorials contributed by (552) R bloggers

“Spatial data is, quite literally, everwhere” (Barry Rowlingson) this is so true! And because of that you guys will have the chance to take part in a great tutroial on using R for managing geospatial data, transforming, making maps and working with OGC standards. So visit this years useR! conference at Vanderbilt University; Nashville, Tennessee,

If you're just getting started with the R language, R user Pairach Piboonrungroj has published a handly list of 20 free R tutorials published by university departments. Included on the list: Getting Started with the R Data Analysis Package (by Norm Matloff), Getting Started with R (from York University), and An Introduction to R (by Phil Spector). Paraich also...

odfWeave is an R-package that is used for making dynamic reports by Sweave processing of Open Document Format (ODF) files. For anyone new to report generation and lacking knowledge of markup languages this might be a good starting point or even a true ...

At this Monday’s Montreal R User Group meeting, Arthur Charpentier gave an interesting talk on the subject of quantile regression. One of the main messages I took away from the workshop was that quantile regression can be used to determine if extreme events are becoming more extreme. The example given was hurricane intensity since 1978.

In a previous post, we discussed ideas generated by a Timely Portfolio post about Linear Models on Stock. I wanted to see if there was a relationship between the window length of the running mean of the linear regression slope estimate and the running mean of the correlation between fitted and observed values. The parameters