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This book contains a rich set of tools for nonparametric analyses,
and the purpose of this text is to provide guidance to students and
professional researchers on how R is used for nonparametric data
analysis in the biological sciences: To introduce when
nonparametric approaches to data analysis are appropriate To
introduce the leading nonparametric tests commonly used in
biostatistics and how R is used to generate appropriate statistics
for each test To introduce common figures typically associated with
nonparametric data analysis and how R is used to generate
appropriate figures in support of each data set The book focuses on
how R is used to distinguish between data that could be classified
as nonparametric as opposed to data that could be classified as
parametric, with both approaches to data classification covered
extensively. Following an introductory lesson on nonparametric
statistics for the biological sciences, the book is organized into
eight self-contained lessons on various analyses and tests using R
to broadly compare differences between data sets and statistical
approach.
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.
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.
This book contains a rich set of tools for nonparametric analyses,
and the purpose of this text is to provide guidance to students and
professional researchers on how R is used for nonparametric data
analysis in the biological sciences: To introduce when
nonparametric approaches to data analysis are appropriate To
introduce the leading nonparametric tests commonly used in
biostatistics and how R is used to generate appropriate statistics
for each test To introduce common figures typically associated with
nonparametric data analysis and how R is used to generate
appropriate figures in support of each data set The book focuses on
how R is used to distinguish between data that could be classified
as nonparametric as opposed to data that could be classified as
parametric, with both approaches to data classification covered
extensively. Following an introductory lesson on nonparametric
statistics for the biological sciences, the book is organized into
eight self-contained lessons on various analyses and tests using R
to broadly compare differences between data sets and statistical
approach.
In this issue of Atlas of the Oral and Maxillofacial Surgery
Clinics, guest editors Drs. Mark A. Miller and David M. Yates bring
their considerable expertise to the topic of Common Procedures in
Cleft and Craniofacial Surgery. Articles from top experts in the
field include coverage of cleft lip surgery, different surgical
approaches to craniosynostosis, and other craniofacial syndromes,
as well as reconstruction and bone grafting. Contains 12 relevant,
practice-oriented topics including primary cleft lip deformity;
cleft nasal deformity; endoscopic approaches to craniosynostosis;
open approaches to craniosynostosis; cranial deformities; and more.
Provides in-depth clinical reviews on common procedures in cleft
and craniofacial surgery, offering actionable insights for clinical
practice. Presents the latest information on this timely, focused
topic under the leadership of experienced editors in the field.
Authors synthesize and distill the latest research and practice
guidelines to create clinically significant, topic-based reviews.
The book provides a framework for diagnosis and treatment of the
complex facial deformities found in craniofacial microsomia and
Treacher Collins syndrome. These conditions are difficult to treat
due to their complexity and variable presentation. The deformities
may be mild or severe and merely cosmetic to life-threatening in
nature. These conditions often manifest as complex facial
deformities that require multiple surgical interventions. Timing is
critical when treating these patients and knowing and choosing the
correct operation is key to successful outcomes. This work provides
a comprehensive approach in treating these complex patient
populations, seeking to answer the following questions: When to
operate versus when to wait? If operating is required what
operation should be performed? What is the best orthodontic
approach to the associated dental deformities that develop with
these conditions? How should sleep apnea be evaluated and treated
in this population? What is the best management for feeding
patients with these conditions? Written by experts in the field,
Craniofacial Microsomia and Treacher Collins Syndrome:
Comprehensive Treatment of Associated Facial Deformities aims to
provide the reader with literature based best practices in treating
these children from the NICU through childhood and into adulthood.
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Stealer (Paperback)
A M Yates; Edited by Julie MacKenzie; Cover design or artwork by Clarissa Yeo
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R380
R328
Discovery Miles 3 280
Save R52 (14%)
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Out of stock
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Foxx and his forces come back to Earth after fighting a war on
another planet. Only problem is that he is coming home to fight
another war. See how this war comes to fruition in the third
storyline book of The Blue Moon Series.
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At The Door (Paperback)
Maly M. Kiendl; Illustrated by Maly M. Kiendl; Originally written by Katherine M. Yates
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R236
R197
Discovery Miles 1 970
Save R39 (17%)
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Out of stock
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This scarce antiquarian book is a selection from Kessinger
Publishing's Legacy Reprint Series. Due to its age, it may contain
imperfections such as marks, notations, marginalia and flawed
pages. Because we believe this work is culturally important, we
have made it available as part of our commitment to protecting,
preserving, and promoting the world's literature. Kessinger
Publishing is the place to find hundreds of thousands of rare and
hard-to-find books with something of interest for everyone!
The wide array of possibilities for interactive distance learning
in today's schools can be daunting. This book will help educators
make the transition from technology-based learning modalities and
integrate elements of distance learning into the curriculum. With
emphasis on Internet-based delivery formats, author Jan M. Yates
presents the latest research and proven techniques for creating
effective distance-learning opportunities that enhance student
achievement. This guide is indispensable for anyone serious about
distance learning. Included are: An introduction A detailed
backgrounder (benefits, challenges, definitions) Models and
examples of distance learning Distance learning settings
Discussions of support technologies and their uses Evaluation of
interactive distance learning activities A wealth of information
about Web sites, vendors, and useful materials
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