Hello R-User! I still would be happy about an answer. Further explanation:
I use distance(analogue), because I can give there a different weighting to my used variables. I would be interested, if there is the information in my Dissimilarity matrix, that I used also factors and if this prevents agnes(cluster) to perform a clustering? Thanks again B. Birgitle wrote: > > I try to perform a clustering using an existing dissimilarity matrix that > I calculated using distance (analogue) > I tried two different things. One of them worked and one not and I don`t > understand why. > Here the code: > > not working example > > library(cluster) > library(analogue) > > iris2<-as.data.frame(iris) > str(iris2) > 'data.frame': 150 obs. of 5 variables: > $ Sepal.Length: num 5.1 4.9 4.7 4.6 5 5.4 4.6 5 4.4 4.9 ... > $ Sepal.Width : num 3.5 3 3.2 3.1 3.6 3.9 3.4 3.4 2.9 3.1 ... > $ Petal.Length: num 1.4 1.4 1.3 1.5 1.4 1.7 1.4 1.5 1.4 1.5 ... > $ Petal.Width : num 0.2 0.2 0.2 0.2 0.2 0.4 0.3 0.2 0.2 0.1 ... > $ Species : Factor w/ 3 levels "setosa","versicolor",..: 1 1 1 1 1 1 > 1 1 1 1 ... > > Test.Gower <- distance(iris2, method ="mixed") > Test.Gower.agnes<-agnes(Test.Gower, diss=T) > Fehler in agnes(Test.Gower, diss = T) : > (list) Objekt kann nicht nach 'logical' umgewandelt werden > Error in agnes(Test.Gower, diss=T). > (list) object can`t be transformed to "logical" > > working example only numerics used: > > library(cluster) > library(analogue) > > irisPart<-subset(iris, select= Sepal.Length:Petal.Width) > Dist.Gower <- distance(irisPart, method ="mixed") > AgnesA <- agnes(Dist.Gower, method="average", diss=TRUE) > > Would be great if somebody could help me. > The dataset that I would like to use for the clustering also contains > factors. > and gives me the same Error message as in the not working example. > > Thanks in advance > > B. > > > > > > ----- The art of living is more like wrestling than dancing. (Marcus Aurelius) -- View this message in context: http://www.nabble.com/cluster-a-distance%28analogue%29-object-using-agnes%28cluster%29-tp19267349p19288302.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 guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
