BinaryLogBiplotJoint: Binary logistic biplot with a gradient descent algorithm.

In MultBiplotR: Multivariate Analysis Using Biplots in R

Binary logistic biplot with a gradient descent algorithm.

Description

Binary logistic biplot with a gradient descent algorithm.

Usage

BinaryLogBiplotJoint(x, freq = matrix(1, nrow(x), 1), dim = 2, 
ainit = NULL, tolerance = 1e-04, maxiter = 30, penalization = 0.2, 
maxcond = 7, RotVarimax = FALSE, lambda = 0.1, ...)

Arguments

x	A binary data matrix
freq	A vector of frequencies.
dim	Dimension of the solution
ainit	Initial values for the row coordinates.
tolerance	Tolerance
maxiter	Maximum number of iterations.
penalization	Penalization for the fit (ridge)
maxcond	Naximum condition number
RotVarimax	Should a Varimax Rotation be used?
lambda	Penalization argument
...	Aditional arguments

Details

Binary logistic biplot with a gradient descent algorithm. Estimates row and column parameters at the same time.

Value

A logistic biplot object.

Author(s)

Jose Luis Vicente-Villardon

References

Vicente-Villardón, J. L., Galindo-Villardón, M. P., & Blázquez-Zaballos, A. (2006). Logistic biplots. Multiple correspondence analysis and related methods. London: Chapman & Hall, 503-521.

Vicente-Villardon, J. L., & Vicente-Gonzalez, L. Redundancy Analysis for Binary Data Based on Logistic Responses in Data Analysis and Rationality in a Complex World. Springer.

Examples

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MultBiplotR documentation built on Nov. 21, 2023, 5:08 p.m.