| LDR | | 04460cmm u2200805Ia 4500 |
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| 003 | | OCoLC |
| 005 | | 20230525133656 |
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| 008 | | 141101s2015 flua ob 000 0 eng d |
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▼a 519.50285536
▼2 23 |
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▼a 62H25
▼a 62-04
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▼2 msc |
| 100 | 1 |
▼a Page?s, Je?ro?me. |
| 245 | 10 |
▼a Multiple factor analysis by example using R /
▼c Je?ro?me Page?s. |
| 260 | |
▼a Boca Raton :
▼b CRC Press,
▼c 짤2015. |
| 300 | |
▼a 1 online resource :
▼b illustrations. |
| 336 | |
▼a text
▼b txt
▼2 rdacontent |
| 337 | |
▼a computer
▼b c
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▼a online resource
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▼2 rdacarrier |
| 490 | 1 |
▼a Chapman & Hall/CRC the R series |
| 504 | |
▼a Includes bibliographical references. |
| 505 | 0 |
▼a 1. Principal component analysis -- 2. Multiple correspondence analysis -- 3. Factorial analysis of mixed data -- 4. Weighting groups of variables -- 5. Comparing clouds of partial individuals -- 6. Factors common to different groups of variables -- 7. Comparing groups variables and Indscal model -- 8. Qualitative and mixed data -- 9. Multiple factor analysis and Procrustes analysis -- 10. Hierarchial multiple factor analysis -- 11. Matrix calculus and Euclidean vector space. |
| 506 | |
▼a Owing to Legal Deposit regulations this resource may only be accessed from within National Library of Scotland. For more information contact enquiries@nls.uk.
▼5 StEdNL |
| 520 | |
▼a Multiple factor analysis (MFA) enables users to analyze tables of individuals and variables in which the variables are structured into quantitative, qualitative, or mixed groups. Written by the co-developer of this methodology, Multiple Factor Analysis by Example Using R brings together the theoretical and methodological aspects of MFA. It also includes examples of applications and details of how to implement MFA using an R package (FactoMineR). The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The. |
| 588 | 0 |
▼a Online resource; title from PDF title page (ebrary, viewed November 10, 2014). |
| 588 | 0 |
▼a Online resource; title from PDF title page (EBSCO, viewed December 16, 2014). |
| 590 | |
▼a eBooks on EBSCOhost
▼b All EBSCO eBooks |
| 650 | 0 |
▼a R (Computer program language)
▼x Statistical methods. |
| 650 | 0 |
▼a Factor analysis. |
| 650 | 7 |
▼a MATHEMATICS
▼x Applied.
▼2 bisacsh |
| 650 | 7 |
▼a MATHEMATICS
▼x Probability & Statistics
▼x General.
▼2 bisacsh |
| 650 | 7 |
▼a Factor analysis.
▼2 fast
▼0 (OCoLC)fst01432040 |
| 650 | 7 |
▼a R (Computer program language)
▼2 fast
▼0 (OCoLC)fst01086207 |
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▼a Electronic books. |
| 776 | 08 |
▼i Print version:
▼a Page?s, Je?ro?me.
▼t Multiple Factor Analysis by Example Using R.
▼d Hoboken : Taylor and Francis, 짤2014
▼z 9781482205473 |
| 830 | 0 |
▼a Chapman & Hall/CRC the R series (CRC Press) |
| 856 | 40 |
▼u http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=881656 |
| 938 | |
▼a Coutts Information Services
▼b COUT
▼n 30548257 |
| 938 | |
▼a CRC Press
▼b CRCP
▼n CAH0KE23893PDF |
| 938 | |
▼a EBL - Ebook Library
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▼n EBL1480672 |
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▼a ProQuest MyiLibrary Digital eBook Collection
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▼n cis30548257 |
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▼a YBP Library Services
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▼a 관리자 |