Exploratory Multivariate Analysis by Example Using R

Exploratory Multivariate Analysis by Example Using R

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitati...

Full description

Saved in:
Bibliographic Details
Main Authors: Husson, Francois (Author), Le, Sebastien (Author), Pages, Jerome (Author)
Format: Book
Language:English
Published: Boca Raton, FL CRC Press 2011
©2011
Subjects:
Multivariate analysis
R (Computer program language)
Online Access:Click Here to View Status and Holdings.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000nam a2200000#i 4501
001 wils-457164
005 202071994643
008 200819t2011 FLU ag# ##001 #deng#D
020 # # |a 9781439835807  |q hardback 
020 # # |a 1439835802  |q hardback 
040 # # |a DLC  |d UiTM  |e rda 
041 0 # |a English 
090 0 0 |a QA278  |b .H87 2011 
100 1 # |a Husson, Francois  |e author 
245 1 0 |a Exploratory Multivariate Analysis by Example Using R  |c Francois Husson, Sebastien Le, Jerome Pages 
264 # 1 |a Boca Raton, FL  |b CRC Press  |c 2011 
264 # 1 |c ©2011 
300 # # |a xii, 228 pages  |b illustrations  |c 25 cm 
336 # # |a text  |2 rdacontent 
337 # # |a unmediated  |2 rdamedia 
338 # # |a volume  |2 rdacarrier 
500 # # |a "A Chapman & Hall book" 
504 # # |a Includes bibliographical references and index 
505 0 # |a Principal component analysis (PCA) -- Correspondence analysis (CA) -- Multiple correspondence analysis (MCA) -- Clustering 
520 # # |a Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, and hierarchical cluster analysis. 
650 # 0 |a Multivariate analysis 
650 # 0 |a R (Computer program language) 
700 1 # |a Le, Sebastien  |e author 
700 1 # |a Pages, Jerome  |e author 
856 4 0 |z Click Here to View Status and Holdings.  |u https://opac.uitm.edu.my/opac/detailsPage/detailsHome.jsp?tid=457164 
964 # # |c BOK  |d CS 
998 # # |a 00250##a002.5.2||00250##b002.5.3||00255##a007.25.3||00260##a002.8.2||00260##b002.8.4||00260##c002.7.6||00264#1a002.8.2||00264#1b002.8.4||01264#1a002.8.2||01264#1b002.8.4||00300##a003.4.1||00300##b003.6.1||00300##c003.5.1||00500##a002.17.2||00502##a007.9.2||00520##a007.2||00520##b007.2||00538##a003.16.9||00546##a006.11||00730##a006.2.2||00730##d006.4||00730##f006.10||00730##n006.2.2||00730##p006.2.2|| 

Similar Items