Biostatistics With R

Biostatistics with R PDF Book Detail:
Author: Babak Shahbaba
Publisher: Springer Science & Business Media
ISBN: 146141301X
Size: 18.69 MB
Format: PDF, Kindle
Category : Medical
Languages : en
Pages : 352
View: 7227

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Book Description: Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation. The book explains basic statistical concepts with a simple yet rigorous language. The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided. Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander. A novel feature of this book is an introduction to Bayesian analysis. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is ideal for instructors of basic statistics for biologists and other health scientists. The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.

Biostatistics With R

Biostatistics with R PDF Book Detail:
Author: Jan Lepš
Publisher: Cambridge University Press
ISBN: 1108572286
Size: 54.95 MB
Format: PDF, Mobi
Category : Medical
Languages : en
Pages :
View: 6539

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Book Description: Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t-tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets, step-by-step R code demonstrating analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of introductory undergraduate courses. Additional resources are provided on www.cambridge.org/biostatistics.

Using R For Biostatistics

Using R for Biostatistics PDF Book Detail:
Author: Thomas W. MacFarland
Publisher: Springer Nature
ISBN: 3030624048
Size: 17.87 MB
Format: PDF, ePub, Mobi
Category : Medical
Languages : en
Pages : 902
View: 645

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Book Description: 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.

Introduction To Data Analysis And Graphical Presentation In Biostatistics With R

Introduction to Data Analysis and Graphical Presentation in Biostatistics with R PDF Book Detail:
Author: Thomas W. MacFarland
Publisher: Springer
ISBN: 9783319025315
Size: 23.37 MB
Format: PDF, Docs
Category : Medical
Languages : en
Pages : 167
View: 2854

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Book Description: Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a basic understanding of R. Topics include: an introduction to Biostatistics and R, data exploration, descriptive statistics and measures of central tendency, t-Test for independent samples, t-Test for matched pairs, ANOVA, correlation and linear regression, and advice for future work.

Biostatistics With R

Biostatistics with R PDF Book Detail:
Author: Jan Lepš
Publisher:
ISBN: 9781108616041
Size: 45.31 MB
Format: PDF, Mobi
Category : Biometry
Languages : en
Pages :
View: 4592

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Book Description: "Biostatistics with R provides a straightforward introduction on how to analyse data from the wide field of biological research, including nature protection and global change monitoring. The book is centred around traditional statistical approaches, focusing on those prevailing in research publications. The authors cover t tests, ANOVA and regression models, but also the advanced methods of generalised linear models and classification and regression trees. Chapters usually start with several useful case examples, describing the structure of typical datasets and proposing research-related questions. All chapters are supplemented by example datasets and thoroughly explained, step-by-step R code demonstrating the analytical procedures and interpretation of results. The authors also provide examples of how to appropriately describe statistical procedures and results of analyses in research papers. This accessible textbook will serve a broad audience of interested readers, from students, researchers or professionals looking to improve their everyday statistical practice, to lecturers of introductory undergraduate courses"--

Introduction To Data Analysis And Graphical Presentation In Biostatistics With R

Introduction to Data Analysis and Graphical Presentation in Biostatistics with R PDF Book Detail:
Author: Thomas W. MacFarland
Publisher: Springer Science & Business Media
ISBN: 3319025325
Size: 17.51 MB
Format: PDF, Kindle
Category : Medical
Languages : en
Pages : 167
View: 703

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Book Description: Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a basic understanding of R. Topics include: an introduction to Biostatistics and R, data exploration, descriptive statistics and measures of central tendency, t-Test for independent samples, t-Test for matched pairs, ANOVA, correlation and linear regression, and advice for future work.

Biostatistics With R

Biostatistics with R PDF Book Detail:
Author:
Publisher:
ISBN: 9781461413035
Size: 18.51 MB
Format: PDF
Category :
Languages : en
Pages : 370
View: 6407

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Book Description:

R F R Dummies

R f  r Dummies PDF Book Detail:
Author: Andrie de Vries
Publisher: John Wiley & Sons
ISBN: 3527812520
Size: 22.57 MB
Format: PDF, ePub, Mobi
Category : Computers
Languages : de
Pages : 423
View: 4011

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Book Description: Wollen Sie auch die umfangreichen Möglichkeiten von R nutzen, um Ihre Daten zu analysieren, sind sich aber nicht sicher, ob Sie mit der Programmiersprache wirklich zurechtkommen? Keine Sorge - dieses Buch zeigt Ihnen, wie es geht - selbst wenn Sie keine Vorkenntnisse in der Programmierung oder Statistik haben. Andrie de Vries und Joris Meys zeigen Ihnen Schritt für Schritt und anhand zahlreicher Beispiele, was Sie alles mit R machen können und vor allem wie Sie es machen können. Von den Grundlagen und den ersten Skripten bis hin zu komplexen statistischen Analysen und der Erstellung aussagekräftiger Grafiken. Auch fortgeschrittenere Nutzer finden in diesem Buch viele Tipps und Tricks, die Ihnen die Datenauswertung erleichtern.

Angewandte Zeitreihenanalyse Mit R

Angewandte Zeitreihenanalyse mit R PDF Book Detail:
Author: Rainer Schlittgen
Publisher: Walter de Gruyter GmbH & Co KG
ISBN: 3110423774
Size: 17.83 MB
Format: PDF, Mobi
Category : Business & Economics
Languages : de
Pages : 329
View: 5693

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Book Description: Dieses Buch präsentiert die wichtigsten Modelle und Verfahren der Zeitreihenanalyse in einer für Studierende und Anwender leicht zugänglichen Form. Der Schwerpunkt liegt auf dem Zeitbereich; speziell werden explorative Methoden, ARMA-Modelle mit ihren Erweiterungen, Prognosemethoden und Zeitreihenregressionen behandelt. Auch der Frequenzbereich wird vorgestellt. Weiter werden multivariate Zeitreihen, Zustandsraummodelle und Modelle für Heteroskedastizität behandelt. Die Methoden werden überwiegend anhand einfacher Situationen verdeutlicht und mittels zahlreicher realer Beispiele illustriert. Die Beispiele stammen aus den Bereichen Wirtschaftswissenschaften, Biologie, Geologie, Medizin und Meteorologie. Die umfassende Erfahrung des Autors auf dem Gebiet der Zeitreihenanalyse fließt an vielen Stellen in Form von Anwendungstipps ein. Dieser Text zur Zeitreihenanalyse ist der erste im deutschsprachigen Bereich, der auf der freien statistischen Programmierumgebung R basiert. In einem eigenen Kapitel wird eine kurze Einführung gegeben. Bei den Beispielen wird der zugehörige Code jeweils angegeben und kommentiert. Zudem enthält jedes Kapitel eine Übersicht über die entsprechenden R-Funktionen der verschiedenen R-Pakete. Die Neuauflage wurde akualisiert und unter anderem um ein Kapitel zu der Long-Memory-Prozessen erweitert.

Molecular Biology Das Original Mit Bersetzungshilfen

Molecular Biology  Das Original mit   bersetzungshilfen PDF Book Detail:
Author: David P. Clark
Publisher: Spektrum Akademischer Verlag
ISBN: 9783827416964
Size: 18.74 MB
Format: PDF, Docs
Category : Science
Languages : en
Pages : 808
View: 7378

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Book Description: Easy Reading: Diese neue Lehrbuch-Reihe bietet erstklassige englischsprachige Original-Lehrbücher mit deutschen Übersetzungshilfen. Molecular biology is a fast-growing field. Students need a clear understanding of new discoveries and laboratory methods, as well as a firm grasp of the fundamental concepts. Clark's Molecular Biology offers both.