Multivariate Data Integration Using R

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Publisher : CRC Press
ISBN 13 : 1000472191
Total Pages : 316 pages
Book Rating : 4.96/5 ( download)

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Book Synopsis Multivariate Data Integration Using R by : Kim-Anh Lê Cao

Download or read book Multivariate Data Integration Using R written by Kim-Anh Lê Cao and published by CRC Press. This book was released on 2021-11-08 with total page 316 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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Publisher :
ISBN 13 : 9781032128078
Total Pages : pages
Book Rating : 4.70/5 ( download)

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Book Synopsis Multivariate Data Integration Using R by : Kim-Anh Lê Cao

Download or read book Multivariate Data Integration Using R written by Kim-Anh Lê Cao and published by . This book was released on 2022 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to Applied Multivariate Analysis with R

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Publisher : Springer Science & Business Media
ISBN 13 : 1441996508
Total Pages : 284 pages
Book Rating : 4.03/5 ( download)

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Book Synopsis An Introduction to Applied Multivariate Analysis with R by : Brian Everitt

Download or read book An Introduction to Applied Multivariate Analysis with R written by Brian Everitt and published by Springer Science & Business Media. This book was released on 2011-04-23 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

A Handbook of Multivariate Data Analysis Using R

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Publisher : Sultan Chand & Sons
ISBN 13 : 9391820751
Total Pages : 11 pages
Book Rating : 4.56/5 ( download)

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Book Synopsis A Handbook of Multivariate Data Analysis Using R by : Dr. A.K. Sheik Manzoor

Download or read book A Handbook of Multivariate Data Analysis Using R written by Dr. A.K. Sheik Manzoor and published by Sultan Chand & Sons. This book was released on 2023-12-01 with total page 11 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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Publisher : SAGE Publications
ISBN 13 : 1483377989
Total Pages : 293 pages
Book Rating : 4.88/5 ( download)

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Book Synopsis Using R With Multivariate Statistics by : Randall E. Schumacker

Download or read book Using R With Multivariate Statistics written by Randall E. Schumacker and published by SAGE Publications. This book was released on 2015-07-06 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

MULTIVARIATE DATA ANALYSIS

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Publisher :
ISBN 13 : 9781138731714
Total Pages : 0 pages
Book Rating : 4.14/5 ( download)

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Book Synopsis MULTIVARIATE DATA ANALYSIS by : NICK. FIELLER

Download or read book MULTIVARIATE DATA ANALYSIS written by NICK. FIELLER and published by . This book was released on 2019 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

An R and S-Plus® Companion to Multivariate Analysis

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Publisher : Springer Science & Business Media
ISBN 13 : 1846281245
Total Pages : 232 pages
Book Rating : 4.42/5 ( download)

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Book Synopsis An R and S-Plus® Companion to Multivariate Analysis by : Brian S. Everitt

Download or read book An R and S-Plus® Companion to Multivariate Analysis written by Brian S. Everitt and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Integration, Manipulation and Visualization of Phylogenetic Trees

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Publisher : CRC Press
ISBN 13 : 1000613011
Total Pages : 298 pages
Book Rating : 4.18/5 ( download)

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Book Synopsis Data Integration, Manipulation and Visualization of Phylogenetic Trees by : Guangchuang Yu

Download or read book Data Integration, Manipulation and Visualization of Phylogenetic Trees written by Guangchuang Yu and published by CRC Press. This book was released on 2022-08-26 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Integration, Manipulation and Visualization of Phylogenetic Trees introduces and demonstrates data integration, manipulation and visualization of phylogenetic trees using a suite of R packages, tidytree, treeio, ggtree and ggtreeExtra. Using the most comprehensive packages for phylogenetic data integration and visualization, contains numerous examples that can be used for teaching and learning. Ideal for undergraduate readers and researchers with a working knowledge of R and ggplot2. Key Features: Manipulating phylogenetic tree with associated data using tidy verbs Integrating phylogenetic data from diverse sources Visualizing phylogenetic data using grammar of graphics

MULTIVARIATE DATA ANALYSIS

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Author :
Publisher : MJP Publisher
ISBN 13 :
Total Pages : 448 pages
Book Rating : 4./5 ( download)

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Book Synopsis MULTIVARIATE DATA ANALYSIS by : R. Shanthi

Download or read book MULTIVARIATE DATA ANALYSIS written by R. Shanthi and published by MJP Publisher. This book was released on 2019-06-10 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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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ISBN 13 :
Total Pages : 392 pages
Book Rating : 4.85/5 ( download)

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Book Synopsis Multivariate Data Analysis by : William W. Cooley

Download or read book Multivariate Data Analysis written by William W. Cooley and published by . This book was released on 1985 with total page 392 pages. Available in PDF, EPUB and Kindle. Book excerpt: