Description Usage Arguments Value See Also Examples

An implementation to minimize power stress by minimization-majorization. Usually more accurate but slower than powerStressFast. Uses a repeat loop.

1 2 3 4 5 6 7 8 9 10 11 12 |

`delta` |
dist object or a symmetric, numeric data.frame or matrix of distances |

`kappa` |
power of the transformation of the fitted distances; defaults to 1 |

`lambda` |
the power of the transformation of the proximities; defaults to 1 |

`nu` |
the power of the transformation for weightmat; defaults to 1 |

`weightmat` |
a matrix of finite weights |

`init` |
starting configuration |

`ndim` |
dimension of the configuration; defaults to 2 |

`acc` |
numeric accuracy of the iteration |

`itmax` |
maximum number of iterations. Default is 50000. |

`verbose` |
should iteration output be printed; if > 1 then yes |

a smacofP object (inheriting form smacofB, see `smacofSym`

). It is a list with the components

delta: Observed dissimilarities, not normalized

obsdiss: Observed dissimilarities, normalized

confdist: Configuration dissimilarities, NOT normalized

conf: Matrix of fitted configuration, NOT normalized

stress: Default stress (stress 1; sqrt of explicitly normalized stress)

spp: Stress per point (based on stress.en)

ndim: Number of dimensions

model: Name of smacof model

niter: Number of iterations

nobj: Number of objects

type: Type of MDS model

and some additional components

stress.m: default stress for the COPS and STOP defaults to the explicitly normalized stress on the normalized, transformed dissimilarities

stress.en: a manually calculated stress on the normalized, transformed dissimilarities and normalized transformed distances which is not correct

deltaorig: observed, untransformed dissimilarities

weightmat: weighting matrix

1 2 3 4 5 | ```
dis<-smacof::kinshipdelta
res<-powerStressMin(as.matrix(dis),kappa=2,lambda=1.5,itmax=1000)
res
summary(res)
plot(res)
``` |

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