[R] cluster a distance(analogue)-object using agnes(cluster)

From: Birgitle <birgit.lemcke_at_systbot.uzh.ch>
Date: Tue, 02 Sep 2008 03:02:31 -0700 (PDT)

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.



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Received on Tue 02 Sep 2008 - 10:07:47 GMT

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