BinaryLogBiplotJoint: Binary logistic biplot with a gradient descent algorithm.

Description Usage Arguments Details Value Author(s) References Examples

View source: R/BinaryLogBiplotJoint.R

Description

Binary logistic biplot with a gradient descent algorithm.

Usage

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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
...

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 April 6, 2021, 9:08 a.m.