An introduction to applied multivariate analysis with R / Brian Everitt, Torsten Hothorn
| データ種別 | 電子書籍 |
|---|---|
| 出版者 | New York : Springer |
| 出版年 | c2011 |
書誌詳細を非表示
| 書誌ID | OB01025494 |
|---|---|
| 本文言語 | 英語 |
| 一般注記 | Includes bibliographical references (p. 259-269) and index Multivariate data and multivariate analysis -- Looking at multivariate data: visualisation -- Principal components analysis -- Multidimensional scaling -- Exploratory factor analysis -- Cluster analysis -- Confirmatory factor analysis and structural equation models -- The analysis of repeated measures data. License restrictions may limit access Summary: "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."--Publisher's description |
| 著者標目 | *Everitt, Brian Hothorn, Torsten |
| 統一書名標目 | Use R! |
| 件 名 | LCSH:Multivariate analysis -- Data processing
全ての件名で検索
LCSH:R (Computer program language) FREE:Multivariate Analyse FREE:R (Programm) |
| 分 類 | LCC:QA278 DC22:519.5/35 |
| 巻冊次 | ISBN:9781441996497 RefWorks出力（各巻） ISBN:1441996494 RefWorks出力（各巻） ISBN:9781441996503 RefWorks出力（各巻） ISBN:1441996508 RefWorks出力（各巻） |
| 資料種別 | 機械可読データファイル |
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