Description Usage Arguments Details Value Author(s) References See Also Examples

Computes the dissimilarities using a gravity model based on co-occurrences.

1 | ```
gravity(X, lambda = 1)
``` |

`X` |
numeric matrix |

`lambda` |
tuning parameter |

The first step in this function is to compute the co-occurences. Based on the
binarized data matrix *Y* we compute *Y'Y* which leads to the co-occurence matrix.
We then use the gravity model to compute the gravity dissimilarities.
In order to give more (or less) structure to the MDS solution, the tuning parameter (which
defines a power transformation) can be increased (or decreased). In addition,
a weight matrix is created that sets cells with no co-occurences to 0. The corresponding weight matrix for blanking out these cells is established automatically in `mds()`

.

`gravdiss` |
Gravity dissimilarities |

`weightmat` |
Weight matrix for subsequent smacof computation |

`co.occ` |
Matrix with co-occurences |

Patrick Mair

Mair, P., Rusch, T. & Hornik, K. (2014). The Grand Old Party - A party of values? SpringerPlus, 3(697), https://springerplus.springeropen.com/articles/10.1186/2193-1801-3-697

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