Blog Archives

R AND OOP – defining new classes

March 12, 2014
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My previous article shows an example in which data analysis requires a structured framework with R and OOP. In order to explain how to build the framework this article describes how to do that in more detail. Using OOP means … Continue reading →

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R framework with Object-Oriented Programming

February 13, 2014
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Data analysis deals with different kinds of data. For instance we can have supermarket sales with - a transactional table, with customer ID, item ID, date of purchase - an item table, with the item ID and its price - … Continue reading →

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An example of MapReduce with rmr2

September 2, 2013
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R can be connected with Hadoop through the rmr2 package. The core of this package is mapreduce() function that allows to write some custom MapReduce algorithms. The aim of this article is to show how it works and to provide … Continue reading →

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A possibility for use R and Hadoop together

July 8, 2013
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(This article was first published on Milano R net, and kindly contributed to R-bloggers) As mentioned in the previous article, a possibility for dealing with some Big Data problems is to integrate R within the Hadoop ecosystem. Therefore, it's necessary to have a bridge between the two environments. It means that R should be capable of handling data the...

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A Big Data introduction

June 5, 2013
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Since R uses the computer RAM, it may handle only rather small sets of data. Nevertheless, there are some packages that allow to treat larger volumes and the best solution is to connect R with a Big Data environment. This … Continue reading →

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