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

[Birgitle]

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.
> 
> 
> 
> 
> 
> 


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