R Fundamentals and Programming Techniques

R Fundamentals and Programming Techniques

Thomas Lumley on R.

One of the strengths and weaknesses of the topic map standardization effort was that it presumed you already had a topic map.

A strength because the methods for arriving at a topic map remain unbounded and unsullied by choices (and limitations) of languages, approaches, etc.

A weakness because the topic map novice is left in the position of a tourist who marvels at a medieval cathedral but has no idea how to build one themselves. (Well, ok, perhaps that is a bit of a stretch. ;-) )

The fact remains there is are ever increasing amounts of data becoming available, many of which are just crying out for topic maps to be built for their navigation.

R is one of the currently popular data mining languages that can be pressed into service for the exploration of data and construction of topic maps.

Definitely a resource to explore and exploit before you invest in any of the printed R reference materials.

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