seqsmooth | R Documentation |

Smoothing of sequence data, using for each sequence the medoid of the sequences in its neighborhood. The results can be used to get a smoothed index plot.

```
seqsmooth(seqdata, diss, k=20, r=NULL)
```

`seqdata` |
a sequence object (see |

`diss` |
a dissimilarity matrix, giving the pairwise distances between sequences. |

`k` |
size of the neighborhood. Default is 20. |

`r` |
radius of the neighborhood. If NULL (default), the radius is not used for smoothing. |

A list with the following elements:

`seqdata` |
a sequence object (see |

`R2` |
pseudo-R2 measure of the goodness of fit of the smoothing |

`S2` |
stress measure of the goodness of fit of the smoothing |

Nicolas Robette

Piccarreta R. (2012). Graphical and Smoothing Techniques for Sequence Analysis, *Sociological Methods and Research*, Vol. 41(2), 362-380.

```
data(trajact)
seqact <- seqdef(trajact)
dissim <- seqdist(seqact, method="LCS")
mds <- cmdscale(dissim, k=1)
smoothed <- seqsmooth(seqact, dissim, k=30)$seqdata
seqIplot(smoothed, sortv=mds, xtlab=14:50, with.legend=FALSE, yaxis=FALSE, ylab=NA)
```

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