Unit-length vector analysis (UVA)
This Master thesis develops in R code the algorithm proposed by Adachi (2010) to implement Unit-length Vector Analysis (UVA), applies this technique to two data sets, and compares the Unit Vector biplots obtained with the corresponding Principal Component biplots in terms of goodness of fit.
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| Tipo de recurso: | tesis de maestría |
| Fecha de publicación: | 2015 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/78484 |
| Acceso en línea: | https://hdl.handle.net/2117/78484 |
| Access Level: | acceso abierto |
| Palabra clave: | Multivariate analysis Biplots Unit-length vector analysis Principal component analysis Calibrated biplots Anàlisi multivariable Classificació AMS::62 Statistics::62H Multivariate analysis Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica::Anàlisi multivariant |
| Sumario: | This Master thesis develops in R code the algorithm proposed by Adachi (2010) to implement Unit-length Vector Analysis (UVA), applies this technique to two data sets, and compares the Unit Vector biplots obtained with the corresponding Principal Component biplots in terms of goodness of fit. |
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