# BinaryLogBiplotJoint: Binary logistic biplot with a gradient descent algorithm. In MultBiplotR: Multivariate Analysis Using Biplots in R

 BinaryLogBiplotJoint R Documentation

## 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.