Description Usage Arguments Details Value See Also Examples

`highlall`

draws the highest similarities (overall) into an MDS graph.

1 2 3 |

`similarity` |
Similarity matrix. |

`results` |
Results of |

`quantile` |
Percentage of the highest similarities that should be drawn.
Default is |

`col` |
Color of the graph. Default is |

`coordinates` |
If |

`add` |
If |

`xlim` |
Numeric vector giving the x coordinates range. |

`cex.labels` |
Numeric value indicating font size of the labels. |

`main` |
Title of the plot. |

This function is applicable to an MDS solution computed with the package
'`smacof`

' (Mair, De Leeuw, Borg, & Groenen) or a set of
coordinates. It adds the `quantile`

percent of highest similarities, as
indicated by the similarity matrix `similarity`

, to the plot of the
respective map. The objects must occur in the same order in the results/
coodinates and the similarity matrix.

Nothing.

1 2 3 4 5 6 7 8 | ```
## Calculating an MDS using the package 'smacof' and showing the 25%
## highest similarities
data(SDG_coocurrence)
SDG_coocurrence <- SDG_coocurrence[,-2] # Drop second column
similarities <- simi(SDG_coocurrence, method = "as")
dissimilarities <- 1 - similarities
res <- smacof::smacofSym(dissimilarities, type = "ordinal")
highlall(similarities, res, quantile = 25, main = "25% Highest Similarities")
``` |

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