Author: Mike Allerhand
Publisher: Springer Science & Business Media
ISBN: 3642179800
Category : Computers
Languages : en
Pages : 89
Book Description
This Brief provides a roadmap for the R language and programming environment with signposts to further resources and documentation.
A Tiny Handbook of R
Author: Mike Allerhand
Publisher: Springer Science & Business Media
ISBN: 3642179800
Category : Computers
Languages : en
Pages : 89
Book Description
This Brief provides a roadmap for the R language and programming environment with signposts to further resources and documentation.
Publisher: Springer Science & Business Media
ISBN: 3642179800
Category : Computers
Languages : en
Pages : 89
Book Description
This Brief provides a roadmap for the R language and programming environment with signposts to further resources and documentation.
A Handbook of Statistical Analyses Using R, Second Edition
Author: Torsten Hothorn
Publisher: Chapman and Hall/CRC
ISBN: 9781420079333
Category : Mathematics
Languages : en
Pages : 376
Book Description
A Proven Guide for Easily Using R to Effectively Analyze Data Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical background, along with appropriate references. New to the Second Edition New chapters on graphical displays, generalized additive models, and simultaneous inference A new section on generalized linear mixed models that completes the discussion on the analysis of longitudinal data where the response variable does not have a normal distribution New examples and additional exercises in several chapters A new version of the HSAUR package (HSAUR2), which is available from CRAN This edition continues to offer straightforward descriptions of how to conduct a range of statistical analyses using R, from simple inference to recursive partitioning to cluster analysis. Focusing on how to use R and interpret the results, it provides students and researchers in many disciplines with a self-contained means of using R to analyze their data.
Publisher: Chapman and Hall/CRC
ISBN: 9781420079333
Category : Mathematics
Languages : en
Pages : 376
Book Description
A Proven Guide for Easily Using R to Effectively Analyze Data Like its bestselling predecessor, A Handbook of Statistical Analyses Using R, Second Edition provides a guide to data analysis using the R system for statistical computing. Each chapter includes a brief account of the relevant statistical background, along with appropriate references. New to the Second Edition New chapters on graphical displays, generalized additive models, and simultaneous inference A new section on generalized linear mixed models that completes the discussion on the analysis of longitudinal data where the response variable does not have a normal distribution New examples and additional exercises in several chapters A new version of the HSAUR package (HSAUR2), which is available from CRAN This edition continues to offer straightforward descriptions of how to conduct a range of statistical analyses using R, from simple inference to recursive partitioning to cluster analysis. Focusing on how to use R and interpret the results, it provides students and researchers in many disciplines with a self-contained means of using R to analyze their data.
The R Book
Author: Michael J. Crawley
Publisher: John Wiley & Sons
ISBN: 9780470515068
Category : Mathematics
Languages : en
Pages : 953
Book Description
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.
Publisher: John Wiley & Sons
ISBN: 9780470515068
Category : Mathematics
Languages : en
Pages : 953
Book Description
The high-level language of R is recognized as one of the mostpowerful and flexible statistical software environments, and israpidly becoming the standard setting for quantitative analysis,statistics and graphics. R provides free access to unrivalledcoverage and cutting-edge applications, enabling the user to applynumerous statistical methods ranging from simple regression to timeseries or multivariate analysis. Building on the success of the author’s bestsellingStatistics: An Introduction using R, The R Book ispacked with worked examples, providing an all inclusive guide to R,ideal for novice and more accomplished users alike. The bookassumes no background in statistics or computing and introduces theadvantages of the R environment, detailing its applications in awide range of disciplines. Provides the first comprehensive reference manual for the Rlanguage, including practical guidance and full coverage of thegraphics facilities. Introduces all the statistical models covered by R, beginningwith simple classical tests such as chi-square and t-test. Proceeds to examine more advance methods, from regression andanalysis of variance, through to generalized linear models,generalized mixed models, time series, spatial statistics,multivariate statistics and much more. The R Book is aimed at undergraduates, postgraduates andprofessionals in science, engineering and medicine. It is alsoideal for students and professionals in statistics, economics,geography and the social sciences.
The Kitchen Gardener's Handbook
Author: Jennifer R. Bartley
Publisher: Timber Press
ISBN: 0881929565
Category : Gardening
Languages : en
Pages : 225
Book Description
“A mouthwatering picture book.” —Toronto Tasting Notes No longer content with separating the plants they grow to eat and the plants they grow for beauty, gardeners are discovering the pleasures of incorporating both edibles and ornamentals into their home landscapes. The Kitchen Gardener's Handbook makes it easy. Whether she's sharing tips on planting radishes in spring, harvesting tomatoes in summer, or pruning perennials in winter, Bartley's friendly advice gives gardeners the tools they need to build and maintain a kitchen garden. Readers will learn how to plant, grow, and harvest the best vegetables, fruits, greens, and herbs for every season. They'll also find seasonal recipes that celebrate the best of the harvest, monthly garden chores, eight sample garden designs, and information on using cut flowers for decoration. The Kitchen Gardener's Handbook is a guide for gardeners who want it all—the freshness of fruits and vegetables and the beauty and simplicity of hand-picked bouquets.
Publisher: Timber Press
ISBN: 0881929565
Category : Gardening
Languages : en
Pages : 225
Book Description
“A mouthwatering picture book.” —Toronto Tasting Notes No longer content with separating the plants they grow to eat and the plants they grow for beauty, gardeners are discovering the pleasures of incorporating both edibles and ornamentals into their home landscapes. The Kitchen Gardener's Handbook makes it easy. Whether she's sharing tips on planting radishes in spring, harvesting tomatoes in summer, or pruning perennials in winter, Bartley's friendly advice gives gardeners the tools they need to build and maintain a kitchen garden. Readers will learn how to plant, grow, and harvest the best vegetables, fruits, greens, and herbs for every season. They'll also find seasonal recipes that celebrate the best of the harvest, monthly garden chores, eight sample garden designs, and information on using cut flowers for decoration. The Kitchen Gardener's Handbook is a guide for gardeners who want it all—the freshness of fruits and vegetables and the beauty and simplicity of hand-picked bouquets.
Handbook of Developmental Research Methods
Author: Brett Laursen
Publisher: Guilford Press
ISBN: 1609189515
Category : Social Science
Languages : en
Pages : 801
Book Description
Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.
Publisher: Guilford Press
ISBN: 1609189515
Category : Social Science
Languages : en
Pages : 801
Book Description
Appropriate for use in developmental research methods or analysis of change courses, this is the first methods handbook specifically designed to meet the needs of those studying development. Leading developmental methodologists present cutting-edge analytic tools and describe how and when to use them, in accessible, nontechnical language. They also provide valuable guidance for strengthening developmental research with designs that anticipate potential sources of bias. Throughout the chapters, research examples demonstrate the procedures in action and give readers a better understanding of how to match research questions to developmental methods. The companion website (www.guilford.com/laursen-materials) supplies data and program syntax files for many of the chapter examples.
The Little Seagull Handbook with Exercises
Author: Richard Bullock
Publisher: W. W. Norton
ISBN: 9780393935813
Category : English language
Languages : en
Pages : 0
Book Description
Includes model student research papers demonstrating four academic styles: MLA, APA, Chicago, and CSE.
Publisher: W. W. Norton
ISBN: 9780393935813
Category : English language
Languages : en
Pages : 0
Book Description
Includes model student research papers demonstrating four academic styles: MLA, APA, Chicago, and CSE.
Miniatures Handbook
Author: Jonathan Tweet
Publisher:
ISBN: 9780786932818
Category : Dungeons and Dragons (Game)
Languages : en
Pages : 0
Book Description
As with other D&D accessories, this title contains new feats, spells, magic items, and prestige classes, and is one of the few titles that adds new base classes to the D&D realm.
Publisher:
ISBN: 9780786932818
Category : Dungeons and Dragons (Game)
Languages : en
Pages : 0
Book Description
As with other D&D accessories, this title contains new feats, spells, magic items, and prestige classes, and is one of the few titles that adds new base classes to the D&D realm.
R for Finite Element Analyses of Size-dependent Microscale Structures
Author: Khameel B. Mustapha
Publisher: Springer
ISBN: 9811370141
Category : Science
Languages : en
Pages : 107
Book Description
This book addresses the static and dynamic analysis of linear elastic size-dependent structures based on the modified couple stress theory. It focuses on establishing the governing equations of the size-dependent structures, deriving the associated finite element models, and implementing those models using the R programming language. The implemented functions are employed to develop a special R package (equivalent to a MATLAB toolbox) called microfiniteR for this book. In each chapter, the governing equations are formulated using the variational method, and the behaviour of the structures is examined on the basis of their load-deformation characteristics (in the case of static analyses) and by evaluating their eigenvalues (in the case of dynamics and buckling problems). The first chapter introduces readers to the R programming language, beginning with the resources needed to make use of the language and ending with a list of recommended texts. The remaining chapters cover the requisite linear elastic theory and highlight the implemented R functions. Each chapter concludes with a brief summary and relevant references.
Publisher: Springer
ISBN: 9811370141
Category : Science
Languages : en
Pages : 107
Book Description
This book addresses the static and dynamic analysis of linear elastic size-dependent structures based on the modified couple stress theory. It focuses on establishing the governing equations of the size-dependent structures, deriving the associated finite element models, and implementing those models using the R programming language. The implemented functions are employed to develop a special R package (equivalent to a MATLAB toolbox) called microfiniteR for this book. In each chapter, the governing equations are formulated using the variational method, and the behaviour of the structures is examined on the basis of their load-deformation characteristics (in the case of static analyses) and by evaluating their eigenvalues (in the case of dynamics and buckling problems). The first chapter introduces readers to the R programming language, beginning with the resources needed to make use of the language and ending with a list of recommended texts. The remaining chapters cover the requisite linear elastic theory and highlight the implemented R functions. Each chapter concludes with a brief summary and relevant references.
Multivariate Methods of Representing Relations in R for Prioritization Purposes
Author: Wayne L. Myers
Publisher: Springer Science & Business Media
ISBN: 1461431220
Category : Mathematics
Languages : en
Pages : 304
Book Description
This monograph is multivariate, multi-perspective and multipurpose. We intend to be innovatively integrative through statistical synthesis. Innovation requires capacity to operate in ways that are not ordinary, which means that conventional computations and generic graphics will not meet the needs of an adaptive approach. Flexible formulation and special schematics are essential elements that must be manageable and economical.
Publisher: Springer Science & Business Media
ISBN: 1461431220
Category : Mathematics
Languages : en
Pages : 304
Book Description
This monograph is multivariate, multi-perspective and multipurpose. We intend to be innovatively integrative through statistical synthesis. Innovation requires capacity to operate in ways that are not ordinary, which means that conventional computations and generic graphics will not meet the needs of an adaptive approach. Flexible formulation and special schematics are essential elements that must be manageable and economical.
Introduction to Research Methods and Data Analysis in the Health Sciences
Author: Gareth Hagger-Johnson
Publisher: Routledge
ISBN: 1317674421
Category : Medical
Languages : en
Pages : 328
Book Description
Whilst the ‘health sciences’ are a broad and diverse area, and includes public health, primary care, health psychology, psychiatry and epidemiology, the research methods and data analysis skills required to analyse them are very similar. Moreover, the ability to appraise and conduct research is emphasised within the health sciences – and students are expected increasingly to do both. Introduction to Research Methods and Data Analysis in the Health Sciences presents a balanced blend of quantitative research methods, and the most widely used techniques for collecting and analysing data in the health sciences. Highly practical in nature, the book guides you, step-by-step, through the research process, and covers both the consumption and the production of research and data analysis. Divided into the three strands that run throughout quantitative health science research – critical numbers, critical appraisal of existing research, and conducting new research – this accessible textbook introduces: Descriptive statistics Measures of association for categorical and continuous outcomes Confounding, effect modification, mediation and causal inference Critical appraisal Searching the literature Randomised controlled trials Cohort studies Case-control studies Research ethics and data management Dissemination and publication Linear regression for continuous outcomes Logistic regression for categorical outcomes. A dedicated companion website offers additional teaching and learning resources for students and lecturers, including screenshots, R programming code, and extensive self-assessment material linked to the book’s exercises and activities. Clear and accessible with a comprehensive coverage to equip the reader with an understanding of the research process and the practical skills they need to collect and analyse data, it is essential reading for all undergraduate and postgraduate students in the health and medical sciences.
Publisher: Routledge
ISBN: 1317674421
Category : Medical
Languages : en
Pages : 328
Book Description
Whilst the ‘health sciences’ are a broad and diverse area, and includes public health, primary care, health psychology, psychiatry and epidemiology, the research methods and data analysis skills required to analyse them are very similar. Moreover, the ability to appraise and conduct research is emphasised within the health sciences – and students are expected increasingly to do both. Introduction to Research Methods and Data Analysis in the Health Sciences presents a balanced blend of quantitative research methods, and the most widely used techniques for collecting and analysing data in the health sciences. Highly practical in nature, the book guides you, step-by-step, through the research process, and covers both the consumption and the production of research and data analysis. Divided into the three strands that run throughout quantitative health science research – critical numbers, critical appraisal of existing research, and conducting new research – this accessible textbook introduces: Descriptive statistics Measures of association for categorical and continuous outcomes Confounding, effect modification, mediation and causal inference Critical appraisal Searching the literature Randomised controlled trials Cohort studies Case-control studies Research ethics and data management Dissemination and publication Linear regression for continuous outcomes Logistic regression for categorical outcomes. A dedicated companion website offers additional teaching and learning resources for students and lecturers, including screenshots, R programming code, and extensive self-assessment material linked to the book’s exercises and activities. Clear and accessible with a comprehensive coverage to equip the reader with an understanding of the research process and the practical skills they need to collect and analyse data, it is essential reading for all undergraduate and postgraduate students in the health and medical sciences.