Hi,

I built a flexmix GLM binomial model with 200 observations and the model
gave me 2 clusters, so if the model is named as newModel then i get the
cluster index for each row using newModel@clusters. Now is there any way to
predict  which cluster the new observation or 201 observation belongs to
using the above built model (newModel) ie so 201 observation can either
belong to cluster 1 or cluster 2.

You can obtain the predicted cluster memberships from the fitted model using the accessor function clusters(), i.e.,

clusters(newModel).

If you want to predict the cluster memberships of new observations, you can then use

clusters(newModel, newdata = data_frame_with_new_observations)

HTH,
Bettina

Thanks

--
View this message in 
context:http://r.789695.n4.nabble.com/Flexmix-new-data-classification-tp4363996p4363996.html
Sent from the R help mailing list archive at Nabble.com.

______________________________________________
R-help@r-project.org  mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.



--
-------------------------------------------------------------------
Bettina Grün
Institut für Angewandte Statistik / IFAS
Johannes Kepler Universität Linz
Altenbergerstraße 69
4040 Linz, Austria

Tel: +43 732 2468-6829
Fax: +43 732 2468-6800
E-Mail:bettina.gr...@jku.at
www.ifas.jku.at

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to