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-tp19267349p19267349.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.
