Since it's open source however, it's very open to customisation by it's users so if there's something you don't like, you can access the source code easily. The aim has been to put control in the hands of the user although it has to be said, the user needs to know exactly what they are doing with such complex tools to get any real benefit out of it other than drawing pretty graphs. The main strength of the program is that it can produce high quality, well defined plots including mathematical symbols and formulae. The developers have chosen the S language as what they call the "vehicle of choice" for research in statistical methodology. R is an attempt to provide a wide variety of statistical analysing - namely linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering methods and graphical techniques. What are R and CRAN R is ‘GNU S’, a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. If you're a biomedical student or serious scientists then you'll have to perform some pretty complex linear and non linear calculations. It can handle large graphs very well and provides functions for generating random and regular graphs, graph visualization, centrality methods and much more. Analyser for biochemistry students and scientists igraph: Network Analysis and Visualization Routines for simple graphs and network analysis.
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