View source: R/BinaryLogBiplotJoint.R

BinaryLogBiplotJoint | R Documentation |

Binary logistic biplot with a gradient descent algorithm.

```
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, ...)
```

`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 |

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

A logistic biplot object.

Jose Luis Vicente-Villardon

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.

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