biplotbootGUI-package: biplotbootGUI: Bootstrap on Classical Biplots and Clustering...

In 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:	1.2
Date:	2019-07-30
License:	GPL>=2

Author(s)

Ana Belen Nieto Librero [e-mail], Purificacion Galindo Villardon [e-mail], Adelaide Freitas [e-mail]

Maintainer: Ana Belen Nieto Librero [e-mail]

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])

biplotbootGUI documentation built on Aug. 1, 2019, 1:05 a.m.