| biplotbootGUI-package {biplotbootGUI} | R Documentation |
biplotbootGUI: Bootstrap on Classical Biplots and Clustering Disjoint Biplot
Description
The biplotbootGUI package is a graphical user interface to construct and interact with Classical Biplots and, combined with Bootstrap methods, provides confidence intervals based on percentiles, t-bootstrap and BCa to measure the accuracy of the estimators of the parameters given by them.
Details
| Package: | biplotbootGUI |
| Type: | Package |
| Version: | 1.3 |
| Date: | 2023-12-11 |
| License: | GPL>=2 |
Author(s)
Ana Belen Nieto Librero ananieto@usal.es, Adelaide Freitas adelaide@ua.pt
Maintainer: Ana Belen Nieto Librero ananieto@usal.es
References
Gabriel, K. R. (1971). The Biplot graphic display of matrices with applications to principal components analysis. Biometrika, 58(3), 453-467.
Galindo, M. P. (1986). Una alternativa de representacion simultanea: HJ-Biplot. Questiio, 10(1), 13-23.
Efron, B. (1979). Bootstrap methods: Another look at the jackknife. Annals of Statistics, 7, 1-26.
Efron, B. (1987). Better bootstrap confidence intervals. Journal of the American Statistical Association, 82, 171-185.
Efron, B., & Tibshirani, R. J. (1993). An introduction into the bootstrap. New York: Chapman and Hall.
Macedo, E. and Freitas, A. (2015). The alternating least-squares algorithm for CDPCA. Communications in Computer and Information Science (CCIS), Springer Verlag pp. 173-191.
Nieto, A. B., & Galindo, M. P., & Leiva, V., & Vicente-Galindo, P. (2014). A methodology for biplots based on bootstrapping with R. Revista Colombiana de Estadistica, 37(2), 367-397.
Vichi, M and Saporta, G. (2009). Clustering and disjoint principal component analysis. Computational Statistics and Data Analysis, 53, 3194-3208.
Examples
data(iris)
biplotboot(iris[,-5])