A Handbook of Statistical Analyses Using R

Hothorn Torsten, Everitt, Brian S.

ISBN 10: 1584885394 / ISBN 13: 9781584885399

Verlag: CRC Press LLC, 2006

Beschreibung

Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects. Bestandsnummer des Verkäufers 16159629-75

Bibliografische Details

Titel: A Handbook of Statistical Analyses Using R

Verlag: CRC Press LLC

Erscheinungsdatum: 2006

Einband: Softcover

Zustand: Very Good

Auflage: 1st Edition.

Über diesen Titel

Reseña del editor:

R is dynamic, to say the least. More precisely, it is organic, with new functionality and add-on packages appearing constantly. And because of its open-source nature and free availability, R is quickly becoming the software of choice for statistical analysis in a variety of fields.

Doing for R what Everitt's other Handbooks have done for S-PLUS, STATA, SPSS, and SAS, A Handbook of Statistical Analyses Using R presents straightforward, self-contained descriptions of how to perform a variety of statistical analyses in the R environment. From simple inference to recursive partitioning and cluster analysis, eminent experts Everitt and Hothorn lead you methodically through the steps, commands, and interpretation of the results, addressing theory and statistical background only when useful or necessary. They begin with an introduction to R, discussing the syntax, general operators, and basic data manipulation while summarizing the most important features. Numerous figures highlight R's strong graphical capabilities and exercises at the end of each chapter reinforce the techniques and concepts presented. All data sets and code used in the book are available as a downloadable package from CRAN, the R online archive.

A Handbook of Statistical Analyses Using R is the perfect guide for newcomers as well as seasoned users of R who want concrete, step-by-step guidance on how to use the software easily and effectively for nearly any statistical analysis.