[Traminer-users] clustering of event sequences

[Hugo Varet]

Dear Matthias,

thank you for having answered very quickly. Rev. is not set to 194 yet but
I think your explanations and the R code will help me a lot.

Thank you again,

Hugo


Le 16 mars 2012 17:21, Matthias Studer <Matthias.Studer at unige.ch> a écrit :

>  Dear Hugo,
>
> Thank you for your question. Unfortunately, the function was not publicly
> released and that's why you didn't found it. So please apologize for this.
> I have now added it to TraMineRextras . As you may find on the R-forge page
> (http://r-forge.r-project.org/forum/forum.php?forum_id=4296),  "This
> package provides functions that haven't been integrated into TraMineR
> either because they do not completely comply with the TraMineR logic and
> homogeneity requirements or because they need further testing".
>
> You may install this package using the following command. You may need to
> wait 24 hours before the new version of the package is available (you may
> check here https://r-forge.r-project.org/R/?group_id=743 if  Rev. is set
> to 194, it's OK).
>
> install.packages("TraMineRextras", repos="http://R-Forge.R-project.org"<http://R-Forge.R-project.org>
> )
>
> The function to compute distance between event sequence is "seqedist" and
> the function to represent graphically a set of event sequence is called
> seqedplot.
>
> Here is a short example.
>
>  library(TraMineRextras)
> library(cluster)
> data(actcal.tse)
>
> data(actcal.tse)
> actcal.seqe <- seqecreate(actcal.tse)
> ## We have 8 different event in this dataset
> ## We set indel cost of an event to 1 and v param to 0.1
> idcost <- rep(1, 8)
> dd <- seqedist(actcal.seqe, idcost=idcost, vparam=.1)
>
> ## These events sequences are mainly stationnary...
> cluster10 <- pam(dd, diss=TRUE, k=10, cluster.only=TRUE)
> seqedplot(actcal.seqe, group=cluster10, type="hazard", breaks=6)
>
>
> Hope this helps.
> Matthias Studer
>
> Le 16.03.2012 10:45, Hugo Varet a écrit :
>
> Dear all,
>
> I read with interest the paper from Matthias Studer entitled "Classer,
> discriminer et visualiser des séquences d’événements" and I discovered I
> could use exactly the same methods for my study. He said in his paper that
> all fonctions can be found in the TraMineR package. Unfortunately, I did
> not find them in the package: I understand how to build homogeneous groups
> of indivuals from state sequences but not from event sequences (TSE format).
>
> Could anybody indicate me the names of the functions I am looking for ?
>
> Thank you very much, best regards,
>
> Hugo
>
>
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