Multiple factor analysis by example using R (Record no. 6199)
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| fixed length control field | 01825nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240219190854.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240219b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9780367241032 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5354 |
| Item number | PAG |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Pages, Jerome |
| 245 ## - TITLE STATEMENT | |
| Title | Multiple factor analysis by example using R |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | CRC Press |
| Place of publication, distribution, etc. | New York |
| Date of publication, distribution, etc. | 2019 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xiv, 257 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 2495.00 |
| 490 ## - SERIES STATEMENT | |
| Series statement | Chapman & Hall/CRC The R Series |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | 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).<br/><br/>The first two chapters cover the basic factorial analysis methods of principal component analysis (PCA) and multiple correspondence analysis (MCA). The next chapter discusses factor analysis for mixed data (FAMD), a little-known method for simultaneously analyzing quantitative and qualitative variables without group distinction. Focusing on MFA, subsequent chapters examine the key points of MFA in the context of quantitative variables as well as qualitative and mixed data. The author also compares MFA and Procrustes analysis and presents a natural extension of MFA: hierarchical MFA (HMFA). The final chapter explores several elements of matrix calculation and metric spaces used in the book.<br/><br/>(https://www.routledge.com/Multiple-Factor-Analysis-by-Example-Using-R/Pags/p/book/9781482205473) |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Factor analysis |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | R (Computer program language) |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Book |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Operations Management & Quantitative Techniques | SBHPL/INV/1162/2023-2024 | 27-01-2024 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 02/19/2024 | Sarat Book House Pvt. Ltd. | 1734.02 | 519.5354 PAG | 005981 | 02/19/2024 | 1 | 2495.00 | 02/19/2024 | Book |