Cargando…

An introduction to applied multivariate analysis with R

"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...

Descripción completa

Detalles Bibliográficos
Autor principal: Everitt, Brian
Otros Autores: Hothorn, Torsten
Formato: Libro
Lenguaje:English
Publicado: New York : Springer, c2011.
Colección:Use R!
Materias:
Acceso en línea:http://www.loc.gov/catdir/enhancements/fy1304/2011926793-b.html
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-d.html
http://www.loc.gov/catdir/enhancements/fy1304/2011926793-t.html

MARC

LEADER 00000cam a22000007a 4500
001 16721567
003 UV#
005 20150815150358.0
008 150225s2011 nyua b 001 0 eng d
010 |a  2011926793 
020 |a 9781441996497 
020 |a 1441996494 
040 |a LTSCA  |c LTSCA  |d UV# 
050 0 4 |a QA278  |b E93 I5 2011 
082 0 4 |a 519.5/35  |2 22 
100 1 |a Everitt, Brian.  |9 385559 
245 1 3 |a An introduction to applied multivariate analysis with R  |c / Brian Everitt, Torsten Hothorn. 
260 |a New York :  |b Springer,  |c c2011. 
300 |a xiv, 273 páginas :  |b ilustraciones ;  |c 24 cm. 
490 1 |a Use R! 
504 |a Incluye bibliografía (páginas 259-269) e índice. 
505 0 |a 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. 
520 |a "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. 
650 4 |a Análisis multivariante  |x Procesamiento de datos. 
650 4 |a R (Lenguaje de programación)  |9 363333 
700 1 |a Hothorn, Torsten.  |9 401348 
830 0 |a Use R! 
856 4 2 |u http://www.loc.gov/catdir/enhancements/fy1304/2011926793-b.html 
856 4 2 |u http://www.loc.gov/catdir/enhancements/fy1304/2011926793-d.html 
856 4 1 |u http://www.loc.gov/catdir/enhancements/fy1304/2011926793-t.html 
942 |c LIBRO  |6 _ 
999 |c 288316  |d 288316