03543cam a22004937a 4500 16721567 BD-DhUL 20140909105051.0 110405s2011 nyua b 001 0 eng d 2011926793 9781441996497 1441996494 9781441996503 1441996508 (OCoLC)ocn732344476 LTSCA LTSCA CDX YDXCP BWX DEBBG VRC UBY DLC BD-DhUL lccopycat QA278 .E87 2011 519.535 22 EVI ST 601 rvk SK 830 rvk Everitt, Brian. An introduction to applied multivariate analysis with R / Brian Everitt, Torsten Hothorn. New York : Springer, c2011. xiv, 273 p. : ill. ; 24 cm. EURO 49.95 Use R! 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. "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. Multivariate analysis Data processing. R (Computer program language) Multivariate Analyse. swd R (Programm) swd Hothorn, Torsten. Use R! Contributor biographical information http://www.loc.gov/catdir/enhancements/fy1304/2011926793-b.html Publisher description http://www.loc.gov/catdir/enhancements/fy1304/2011926793-d.html Table of contents only http://www.loc.gov/catdir/enhancements/fy1304/2011926793-t.html 7 cbc copycat 2 ncip 20 y-gencatlg ddc BK xh14 2012-06-27 z-processor xh14 2012-06-27 2 copies to BCCD pc17 2011-04-05 xh00 2011-10-21 to USPL/STM xh00 2011-12-09 added copies to USPL/STM xh06 2012-01-13 to STM 9047 9047 0 0 ddc 0 519_535000000000000_EVI 0 NFIC 15958 DUSL DUSL GEN 2014-05-06 Purchased 519.535 EVI 482074 2014-09-09 2014-09-09 BK