SAS and R - Kleinman, Ken (Harvard University, Boston, Massachusetts, USA); Horton, Nicholas J. (Amherst College, Amherst, MA)
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Retaining the same accessible format of the popular first edition, this book explains how to easily perform an analytical task in both SAS and R. Through the extensive indexing and cross-referencing, users can directly find and implement the material they need. This edition now covers RStudio, a powerful and easy-to-use interface for R. Along with extended examples of simulations, it also incorporates a number of additional topics, including APIs, reproducible analysis tools, database management systems, MCMC methods, and finite mixture models.

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Produktbeschreibung
Retaining the same accessible format of the popular first edition, this book explains how to easily perform an analytical task in both SAS and R. Through the extensive indexing and cross-referencing, users can directly find and implement the material they need. This edition now covers RStudio, a powerful and easy-to-use interface for R. Along with extended examples of simulations, it also incorporates a number of additional topics, including APIs, reproducible analysis tools, database management systems, MCMC methods, and finite mixture models.
Autorenporträt
Ken Kleinman, Nicholas J. Horton