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The R statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and availability of R to couple the theory and practice of biostatistics into a single treatment so as to provide a resource for biologists learning statistics, R or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research.