Hi Jeff,
Thanks for your reply. My df contains Protocols and their Parameters and I want
to use SOM to see if I can find some clusters in customor's using protocols.
Some of these Parameters are factors and some are numeric. I want to make a
subset of some protocols and give them to SOM as training set and keep some for
test set. is it possible to have also those factors in training set of SOM?
$ Protocol : Factor w/ 132 levels "_unknown","A5. SAG TSE T2
FS",..: 5
$ BR : int 320 320 384 384 384 320 256 320 384 38
$ BW : int 150 150 191 191 98 150 150 150
$ COUNTRY : Factor w/ 35 levels "AE","AT","AU",..: 10 10
$ FSM : Factor w/ 2 levels "strong","weak": 2 2
On Wednesday, June 1, 2016 7:59 AM, Jeff Newmiller <jdnew...@dcn.davis.ca.us>
wrote:
You did not send sample of your data, using dput. Before doing that, I
suggest peeling apart your troublesome line of code yourself:
str( as.matrix( scale( subdf ) ) )
str( scale( subdf ) )
str( subdf )
And then think about what the scale function does. Does it make sense to ask it
to scale character or factor data? Could you perhaps exclude some of the
columns that don't belong in the scaled data?
--
Sent from my phone. Please excuse my brevity.
On June 1, 2016 7:39:30 AM PDT, "ch.elahe via R-help" <r-help@r-project.org>
wrote:
Hi all,
>I want to use Self Organizing Map in R for my data. I want my training set to
>be the following subset of my data:
>
>
>subdf=subset(df,Country%in%c("US","FR"))
>next I should change this subset to a matrix but I get the following error:
>
>data_train_matrix=as.matrix(scale(subdf))
>error in colMeans(x,na.rm=TRUE):'x' must be numeric
>
>Can anyone help me to solve that?
>Thanks for any help
>Elahe
>
>
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>
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