| BinaryLogBiplotJoint {MultBiplotR} | 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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