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R is a freely available software which is increasingly being used in a wide range of scientifc fields and adopted by many institutions as a “standard”. R is a high-level language like Matlab, Mathematica or IDL intended for scientific work and graphical representation.

R uses a basic module (currently version R 2.8.1) with a set of basic statistical applications and features. Additionally, specific packages which have been developed by research groups from several scientific fields can be downloaded since they are offered freely to the rest of the scientific community.
This includes a great deal of scientific tools used in simulation and data mining in a number of fields ranging from engineering, meteorology, genetics, climate, agriculture, biology, environmental protection, linguistics to topography, to mention a few. The tools include genetic algorithms, machine learning, multiple linear regression, neural networks, self-organizing maps, cluster analysis, principal component analysis….R is an object-oriented software which runs using scripts that are quite simple to write. Besides, examples are easily available in the web for a huge number of applications.

The purpose of this poster is to communicate the experience of our research group in the use of R as a valuable tool in our doctorate program and also the adoption of R as a standard in the research projects under development. As an example, the use of R in a research project currently being carried out to develop climate change scenarios in the Basque Country is shown. In this sense, there is a continuity between high education, research and inner short-courses in the frame of the research group that can be attributed to the adoption from the begining of R as a standard. The results of this decision are highly positive and provide a great number of advantages regarding the everyday operative exchange of scientific and educational results and initiatives inside the group.