A Methodology for Biplots Based on Bootstrapping with R
A biplot is a graphical representation of two-mode multivariate data based on markers for rows and columns often provided in a two-dimensional space. These markers define parameters that help to interpret goodness of fit, quality of the representation and variability and relationships between variab...
- Autores:
-
Nieto, Ana B.
Galindo, M. Purificación
Leiva, Víctor
Vicente-Galindo, Purificación
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2014
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/66560
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/66560
http://bdigital.unal.edu.co/67588/
- Palabra clave:
- 51 Matemáticas / Mathematics
31 Colecciones de estadística general / Statistics
Bootstrap Confidence Interval
Graphical Methods
Multivariate Data
Quantiles
Software
Cuantiles
Datos multivariantes
Intervalos de confianza bootstrap
Métodos gráficos
Software.
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | A biplot is a graphical representation of two-mode multivariate data based on markers for rows and columns often provided in a two-dimensional space. These markers define parameters that help to interpret goodness of fit, quality of the representation and variability and relationships between variables. However, such parameters are estimated as point values by the biplot, thus no information on the accuracy of the corresponding estimators is obtained. We propose a graphical methodology, that may be considered as an inferential version of a biplot, based on bootstrap confidence intervals for the mentioned parameters. We implement our methodology in an R package and validate it with simulated and real-world data. |
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