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Foundational and Applied Statistics for Biologists Using R (English Edition) de Ken A. Aho

Descripción - Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts. Assuming only familiarity with algebra and general calculus, the text offers a flexible structure for both introductory and graduate-level biostatistics courses. The first seven chapters address fundamental topics in statistics, such as the philosophy of science, probability, estimation, hypothesis testing, sampling, and experimental design. The remaining four chapters focus on applications involving correlation, regression, ANOVA, and tabular analyses. Unlike classic biometric texts, this book provides students with an understanding of the underlying statistics involved in the analysis of biological applications. In particular, it shows how a solid statistical foundation leads to the correct application of procedures, a clear understanding of analyses, and valid inferences concerning biological phenomena. An R package (asbio) developed by the author is available from CRAN . Accessible to those without prior command-line interface experience, this companion library contains hundreds of functions for statistical pedagogy and biological research. The author's website also includes an overview of R for novices.

Foundational and applied statistics for biologists using r foundational and applied statistics for biologists using r motivation statisticians have complained to me at national meetings that biologists should be prevented from attempting serious statistical analyses because they often misapply procedures and misinterpret outcomesthis view, however, is unproductive the biologist, in the ideal, is the best possible analyst of biological data because Foundational and applied statistics for biologists using r foundational and applied statistics for biologists using r responsibility ken a aho, idaho state university, pocatello, idaho, usa foundational and applied statistics for biologists using r presents comprehensive coverage of both modern analytical methods and statistical foundations Foundational and applied statistics for biologists using r foundational and applied statistics for biologists using r electronic appendix introduction to r ken aho updated 10162019 r is useful to biologists for two major reasons first, it provides access to a large number of existing statistical, graphical,

Foundational and applied statistics for biologists using r full of biological applications, exercises, and interactive graphical examples, foundational and applied statistics for biologists using r presents comprehensive coverage of both modern analytical methods and statistical foundations Foundational and applied statistics for biologists using r full of biological applications, exercises, and interactive graphical examples, foundational and applied statistics for biologists using r presents comprehensive coverage of both modern analytical methods and statistical foundations the author harnesses the inherent properties of the r environment to enable students to examine the code of complica Foundational and applied statistics for biologists using r foundational and applied statistics for biologists using r kindle edition by aho, ken a download it once and read it on your kindle device, pc, phones or tablets use features like bookmarks, note taking and highlighting while reading foundational and applied statistics for biologists using r

Detalles del Libro

  • Name: Foundational and Applied Statistics for Biologists Using R (English Edition)
  • Autor: Ken A. Aho
  • Categoria: Libros,Libros universitarios y de estudios superiores,Medicina y ciencias de la salud
  • Tamaño del archivo: 7 MB
  • Tipos de archivo: PDF Document
  • Idioma: Español
  • Archivos de estado: AVAILABLE


[Download] Foundational and Applied Statistics for Biologists Using R (English Edition) de Ken A. Aho Libros Gratis en EPUB

Foundational and applied statistics for biologists using r foundational and applied statistics for biologists using r 1st edition by ken a aho and publisher chapman amp hall save up to 80 by choosing the etextbook option for isbn 9781482222128, 1482222124 the print version of this textbook is isbn 9781439873380, 1439873380 A handbook of statistical analyses using r quirement for textbooks such as the handbook of statistical analyses using r and therefore this book is fully reproducible using an r version greater or equal to 240 all analyses and results, including figures and tables, can be reproduced by the reader without having to retype a single line of r code the Foundational and applied statistics for biologists using r foundational and applied statistics for biologists using r r is useful to biologists for two major reasons first, it provides access to a large number of existing statistical, graphical, and organizational procedures, many of which have been designed specifically for biological

Foundational and applied statistics for biologists using r get this from a library foundational and applied statistics for biologists using r ken a aho full of biological applications, exercises, and interactive graphical examples, foundational and applied statistics for biologists using r presents comprehensive coverage of both modern analytical Ka aho, foundational and applied statistics for biologists ka aho, foundational and applied statistics for biologists using r nick r parsons statistical methods in medical research 2014 26 2, 10401041 ka aho, foundational and applied statistics for biologists using r show all authors nick r parsons nick r parsons see all articles by this author Foundational and applied statistics for biologists using r full of biological applications, exercises, and interactive graphical examples, foundational and applied statistics for biologists using r presents comprehensive coverage of both modern analytical methods and statistical foundations the author harnesses the inherent properties of the r environment to enable students to examine the code of complicated procedures step by step and thus better


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