HJBiplot: HJ Biplot

In SparseBiplots: 'HJ-Biplot' using Different Ways of Penalization Plotting with 'ggplot2'

Description

This function performs the representation of HJ Biplot (Galindo, 1986).

Usage

HJBiplot (X, Transform.Data = 'scale')

Arguments

X	array_like; A data frame which provides the data to be analyzed. All the variables must be numeric.
Transform.Data	character; A value indicating whether the columns of X (variables) should be centered or scaled. Options are: "center" that removes the columns means and "scale" that removes the columns means and divide by its standard deviation. Default is "scale".

Details

Algorithm used to construct the HJ Biplot. The Biplot is obtained as result of the configuration of markers for individuals and markers for variables in a reference system defined by the factorial axes resulting from the Decomposition in Singular Values (DVS).

Value

HJBiplot returns a list containing the following components:

eigenvalues	array_like; vector with the eigenvalues.
explvar	array_like; an vector containing the proportion of variance explained by the first 1, 2,.,k principal components obtained.
loadings	array_like; the loadings of the principal components.
coord_ind	array_like; matrix with the coordinates of individuals.
coord_var	array_like; matrix with the coordinates of variables.

Author(s)

Mitzi Cubilla-Montilla, Carlos Torres-Cubilla, Ana Belen Nieto Librero and Purificacion Galindo Villardon

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.

See Also

Plot_Biplot

Examples

 HJBiplot(mtcars)

SparseBiplots documentation built on Oct. 24, 2021, 9:07 a.m.