Using R for Biostatistics

Using R for Biostatistics
Author :
Publisher : Springer Nature
Total Pages : 929
Release :
ISBN-10 : 9783030624040
ISBN-13 : 3030624048
Rating : 4/5 (40 Downloads)

Book Synopsis Using R for Biostatistics by : Thomas W. MacFarland

Download or read book Using R for Biostatistics written by Thomas W. MacFarland and published by Springer Nature. This book was released on 2021-03-02 with total page 929 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical presentation. In the years since the authors’ 2014 work Introduction to Data Analysis and Graphical Presentation in Biostatistics with R, the R user community has grown exponentially and the R language has increased in maturity and functionality. This updated volume expands upon skill-sets useful for students and practitioners in the biological sciences by describing how to work with data in an efficient manner, how to engage in meaningful statistical analyses from multiple perspectives, and how to generate high-quality graphics for professional publication of their research. A common theme for research in the diverse biological sciences is that decision-making depends on the empirical use of data. Beginning with a focus on data from a parametric perspective, the authors address topics such as Student t-Tests for independent samples and matched pairs; oneway and twoway analyses of variance; and correlation and linear regression. The authors also demonstrate the importance of a nonparametric perspective for quality assurance through chapters on the Mann-Whitney U Test, Wilcoxon Matched-Pairs Signed-Ranks test, Kruskal-Wallis H-Test for Oneway Analysis of Variance, and the Friedman Twoway Analysis of Variance. To address the element of data presentation, the book also provides an extensive review of the many graphical functions available with R. There are now perhaps more than 15,000 external packages available to the R community. The authors place special emphasis on graphics using the lattice package and the ggplot2 package, as well as less common, but equally useful, figures such as bean plots, strip charts, and violin plots. A robust package of supplementary material, as well as an introduction of the development of both R and the discipline of biostatistics, makes this ideal for novice learners as well as more experienced practitioners.


Using R for Biostatistics Related Books

Using R for Biostatistics
Language: en
Pages: 929
Authors: Thomas W. MacFarland
Categories: Medical
Type: BOOK - Published: 2021-03-02 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book introduces the open source R software language that can be implemented in biostatistics for data organization, statistical analysis, and graphical pre
Biostatistics with R
Language: en
Pages: 355
Authors: Babak Shahbaba
Categories: Medical
Type: BOOK - Published: 2011-12-15 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book expla
Biostatistics with R
Language: en
Pages: 385
Authors: Jan Lepš
Categories: Medical
Type: BOOK - Published: 2020-07-30 - Publisher: Cambridge University Press

DOWNLOAD EBOOK

A straightforward introduction to a wide range of statistical methods for field biologists, using thoroughly explained R code.
Biostatistics for Epidemiology and Public Health Using R
Language: en
Pages: 460
Authors: Bertram K.C. Chan, PhD
Categories: Medical
Type: BOOK - Published: 2015-11-05 - Publisher: Springer Publishing Company

DOWNLOAD EBOOK

Since it first appeared in 1996, the open-source programming language R has become increasingly popular as an environment for statistical analysis and graphical
Biostatistical Design and Analysis Using R
Language: en
Pages: 578
Authors: Dr Murray Logan
Categories: Science
Type: BOOK - Published: 2011-09-20 - Publisher: John Wiley & Sons

DOWNLOAD EBOOK

R — the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the