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Rserve is a R statistical software extension allowing to run R instance as a TCP/IP server and to communicate using a platform independent binary protocol. This project is an php implementation of a Rserve client in PHP5. It's currently a simple implementation, far from the java library.
One of the main reasons why I prefer to use it above other packages that allow working with large datasets is that it is a complete set of tools . If you disagree, do comment. Next to that there are some extra goodies allowing faster grouping by - not restricted to the ff package alone (Fast groupwise aggregations: bySum, byMean, binned_sum, binned_sumsq, binned_tabulate) > require(ffbase)
Mapping Public Opinion: A Tutorial Posted by d sparks on July 18, 2012 · 6 Comments At the upcoming 2012 summer meeting of the Society of Political Methodology, I will be presenting a poster on Isarithmic Maps of Public Opinion . Since last posting on the topic, I have made major improvements to the code and robustness of the modeling approach, and written a tutorial that illustrates the production of such maps. This tutorial is in a very rough draft form, but I will post it here when it is finalized.
Oracle has adopted R as a language and environment to support Statisticians, Data Analysts, and Data Scientists in performing statistical data analysis and advanced analytics, as well as generating sophisticated graphics. In addressing the enterprise and the need to analyze Big Data, Oracle provides R integration through four key offerings: Oracle R Distribution An Oracle-supported distribution of open source R, provided as a free download from Oracle for Oracle Linux.
R is an incredibly comprehensive statistics package. Even if you just look at the standard R distribution (the base and recommended packages), R can do pretty much everything you need for data manipulation, visualization, and statistical analysis. And for everything else, there's more than 5000 packages on CRAN and other repositories, and the big-data capabilities of Revolution R Enterprise. A As a result, trying to make a list of everything R can do is a difficult task.
I guess a lot of us actually use many tools to accomplish various things in their everyday life. There is the (not that uncommon) case where you have to build something that others will use in their everyday business life to get insights, information and/or take decisions. The basic implementation scenario here would be to build an excel workbook where you will feed the data and have a overview sheet, named Dashboard …If things are on your side you could set-up a connection to a database (an existing one or one you will create for the data in discussion) and pull data from there. You can build powerful and visually elegant things using this approach. A cool resource to generate tears of joy among colleagues is Chandoo.org .