On Fri, 10 Sep 2010, Tomislav Hengl wrote:
(Maybe this is not really suited for the R-sig-geo, but since we often experience problems with loading and visualizing large data)Has anyone yet used the Revolution R Entrerprise Version of R? Apparently it fixes/reduces the problem of large data and has an excellent GUI.
No, it provides 64-bit support, which R for all platforms already does - the user has to provide the RAM as before. It does ship with a more integrated support for using multiple cores, but those facilities are also available for R anyway, provided the relevant packages are installed and loaded.
If you are thinking of "NEW! Big Data Analysis for Terabyte-Class File Structures — A comprehensive solution that provides fast, scalable statistical analysis of large data sets without the RAM barrier of standard R" - this does not apply to the 2G limit on single R objects, which for most geodata problems are addressed quite adequately by tiling, as in the raster package.
What it provides apparently is a visual IDE and debugging, in addition to support. It does not provide contributed packages beyond those Revolution Analytics themselves write and maintain (they do, they are pro-active people, and are doing a good job in relation to business).
If your university will not let you install regular R, this is a good solution, because it gives IT departments a "supplier". Certainly worth trying for comparison, but on the same hardware it is unlikely to perform differently from R itself (since they cannot fork R and leave GPL, so any dramatic breakthroughs in performance would be merged back into trunk, if they work cross-platform). The RevoScaleR package is not on CRAN, and simply provides facilities similar to those such as biglm, ff and sqldf for doing analyses of chunks of large data frames using a different XDF file structure. Present status is summarised in the Large memory and out-of-memory data section of the HPC task view.
Hope this helps, Roger
[http://www.revolutionanalytics.com/downloads/free-academic.php] Read more: "Startup wants to be R alternative to IBM, SAS" [http://www.networkworld.com/news/2010/050410-startup-wants-to-be-r.html?hpg1=bn] "A Community Site for R – Sponsored by Revolution Analytics" [http://www.inside-r.org] T. Hengl http://spatial-analyst.net _______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
-- Roger Bivand Economic Geography Section, Department of Economics, Norwegian School of Economics and Business Administration, Helleveien 30, N-5045 Bergen, Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43 e-mail: roger.biv...@nhh.no
_______________________________________________ R-sig-Geo mailing list R-sig-Geo@stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-sig-geo
