On 2013-02-24 07:57, Joanna Papakonstantinou wrote:
I am using the iris dataset that contains mixed variables (some columns are
numeric and some categorical).
iris
Sepal.Length Sepal.Width Petal.Length Petal.Width Species
1 5.1 3.5 1.4 0.2 setosa
2 4.9 3.0 1.4 0.2 setosa
3 4.7 3.2 1.3 0.2 setosa
4 4.6 3.1 1.5 0.2 setosa
.
.
.
I am trying to use the Gower metric so that I may specify that some columns
contain categorical data.
iris.clust<-daisy(iris, metric = "gower", stand = FALSE, type =
list(factor="Species"))
But it is saying that the types= I, I, I, I, N
so obviously it is not reading the variable types correctly.
I don't know why you say that. Look at ?dissimilarity.object to see
what 'I' and 'N' mean.
If you read the help page for ?daisy carefully, you'll see that your
command is equivalent to
iris.clust(iris)
i.e. you need not specify the metric etc.
BTW, your specification of 'type' indicates that you may have
looked at the help page a bit too hastily.
Could someone please tell me how to specify the variable types correctly?
Thank you.
Joanna
Peter Ehlers
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