Multivariate Data Integration Using R
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Multivariate Data Integration Using R
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Author : Kim-Anh Lê Cao
language : en
Publisher: CRC Press
Release Date : 2021-11-08
Multivariate Data Integration Using R written by Kim-Anh Lê Cao and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-08 with Computers categories.
Large biological data, which are often noisy and high-dimensional, have become increasingly prevalent in biology and medicine. There is a real need for good training in statistics, from data exploration through to analysis and interpretation. This book provides an overview of statistical and dimension reduction methods for high-throughput biological data, with a specific focus on data integration. It starts with some biological background, key concepts underlying the multivariate methods, and then covers an array of methods implemented using the mixOmics package in R. Features: Provides a broad and accessible overview of methods for multi-omics data integration Covers a wide range of multivariate methods, each designed to answer specific biological questions Includes comprehensive visualisation techniques to aid in data interpretation Includes many worked examples and case studies using real data Includes reproducible R code for each multivariate method, using the mixOmics package The book is suitable for researchers from a wide range of scientific disciplines wishing to apply these methods to obtain new and deeper insights into biological mechanisms and biomedical problems. The suite of tools introduced in this book will enable students and scientists to work at the interface between, and provide critical collaborative expertise to, biologists, bioinformaticians, statisticians and clinicians.
Multivariate Data Integration Using R
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Author : Kim-Anh Lê Cao
language : en
Publisher:
Release Date : 2022
Multivariate Data Integration Using R written by Kim-Anh Lê Cao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022 with categories.
A Handbook Of Multivariate Data Analysis Using R
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Author : Dr. A.K. Sheik Manzoor
language : en
Publisher: Sultan Chand & Sons
Release Date : 2023-12-01
A Handbook Of Multivariate Data Analysis Using R written by Dr. A.K. Sheik Manzoor and has been published by Sultan Chand & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-01 with Computers categories.
The book includes a broad range of analytical methods starting from multiple regression, discriminant analysis, logistic regression, and MANOVA, and progressing to various advanced multivariate techniques. It provides clear and easily comprehensible explanations for all twelve of these techniques, including the complex domain of structural equation modeling.
Using R With Multivariate Statistics
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Author : Randall E. Schumacker
language : en
Publisher: SAGE Publications
Release Date : 2015-07-06
Using R With Multivariate Statistics written by Randall E. Schumacker and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-06 with Social Science categories.
Using R with Multivariate Statistics is a quick guide to using R, free-access software available for Windows and Mac operating systems that allows users to customize statistical analysis. Designed to serve as a companion to a more comprehensive text on multivariate statistics, this book helps students and researchers in the social and behavioral sciences get up to speed with using R. It provides data analysis examples, R code, computer output, and explanation of results for every multivariate statistical application included. In addition, R code for some of the data set examples used in more comprehensive texts is included, so students can run examples in R and compare results to those obtained using SAS, SPSS, or STATA. A unique feature of the book is the photographs and biographies of famous persons in the field of multivariate statistics.
An R And S Plus Companion To Multivariate Analysis
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Author : Brian S. Everitt
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-03-30
An R And S Plus Companion To Multivariate Analysis written by Brian S. Everitt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-03-30 with Mathematics categories.
Applied statisticians often need to perform analyses of multivariate data; for these they will typically use one of the statistical software packages, S-Plus or R. This book sets out how to use these packages for these analyses in a concise and easy-to-use way, and will save users having to buy two books for the job. The author is well-known for this kind of book, and so buyers will trust that he’s got it right.
Multivariate Data Analysis
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Author : NICK. FIELLER
language : en
Publisher:
Release Date : 2019
Multivariate Data Analysis written by NICK. FIELLER and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019 with categories.
Multivariate Data Analysis
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Author : R. Shanthi
language : en
Publisher: MJP Publisher
Release Date : 2019-06-10
Multivariate Data Analysis written by R. Shanthi and has been published by MJP Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-10 with Mathematics categories.
Multivariate Data Analysis Introduction to SPSS Outliers Normality Test of Linearity Data Transformation Bootstrapping Homoscedasticity Introduction to IBM SPSS – AMOS Multivariate Analysis of Variance (MANOVA) One Way Manova in SPSS Multiple Regression Analysis Binary Logistic Regression Factor Analysis Exploratory Factor Analysis Confirmatory Factor Analysis Cluster Analysis K - Mean Cluster Analysis Hierarchical Cluster Analysis Discriminant Analysis Correspondence Analysis Multidimensional Scaling Example - Multidimensional Scaling (ALSCAL) Neural Network Decision Trees Path Analysis Structural Equation Modeling Canonical Correlation
Multivariate Data Analysis
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Author : William W. Cooley
language : en
Publisher:
Release Date : 1985
Multivariate Data Analysis written by William W. Cooley and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1985 with Mathematics categories.
Applied Multivariate Statistics With R
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Author : Daniel Zelterman
language : en
Publisher: Springer Nature
Release Date : 2023-01-20
Applied Multivariate Statistics With R written by Daniel Zelterman and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-01-20 with Medical categories.
Now in its second edition, this book brings multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations. Using the open source shareware program R, Dr. Zelterman demonstrates the process and outcomes for a wide array of multivariate statistical applications. Chapters cover graphical displays; linear algebra; univariate, bivariate and multivariate normal distributions; factor methods; linear regression; discrimination and classification; clustering; time series models; and additional methods. He uses practical examples from diverse disciplines, to welcome readers from a variety of academic specialties. Each chapter includes exercises, real data sets, and R implementations. The book avoids theoretical derivations beyond those needed to fully appreciate the methods. Prior experience with R is not necessary. New to this edition are chapters devoted to longitudinal studies and the clustering of large data. It is an excellent resource for students of multivariate statistics, as well as practitioners in the health and life sciences who are looking to integrate statistics into their work.
An Introduction To Applied Multivariate Analysis With R
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Author : Brian Everitt
language : en
Publisher: Springer Science & Business Media
Release Date : 2011-04-23
An Introduction To Applied Multivariate Analysis With R written by Brian Everitt and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-04-23 with Mathematics categories.
The majority of data sets collected by researchers in all disciplines are multivariate, meaning that several measurements, observations, or recordings are taken on each of the units in the data set. These units might be human subjects, archaeological artifacts, countries, or a vast variety of other things. In a few cases, it may be sensible to isolate each variable and study it separately, but in most instances all the variables need to be examined simultaneously in order to fully grasp the structure and key features of the data. For this purpose, one or another method of multivariate analysis might be helpful, and it is with such methods that this book is largely concerned. Multivariate analysis includes methods both for describing and exploring such data and for making formal inferences about them. The aim of all the techniques is, in general sense, to display or extract the signal in the data in the presence of noise and to find out what the data show us in the midst of their apparent chaos. An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as much information as possible from the data at hand, particularly as some type of graphical representation, via the R software. Throughout the book, the authors give many examples of R code used to apply the multivariate techniques to multivariate data.