Hi Kimmo,

Thanks for your reply, Here is a part of my df:

'data.frame': 562 obs. of 128 variables

$ TE :int 37 37 35 34 37 37 35 33 32 ...

$ TR :int 11 11 8 13 11 8 15 12 8 .....

$ BW :int 150 191 128 145 200 191 ........

$speed :int 4 4 3 3 2 1 4 1 2 3 ..........

and I want to cluster my data based on speed, to see the coming costumer's protocols fall into which speed group and I think I need to bring this speed column in Y element of xyf

On Thursday, June 16, 2016 2:29 PM, K. Elo wrote:

Hi!

Some sample data could help us to help you...

But have you read '?xyf' in order to ensure that your 'Y' is what 'xyf'

expects it to be?

What kind of error messages do you get?

Regards,

Kimmo

16.06.2016, 15:13, ch.elahe via R-help wrote:

Is there any answer?

Hi all, I have a df and I want to use supervised Self Organizing Map

to do classification. I should use Kohonen library and xyf function

from it. As you know the xyf function looks like this and I have

problem defining my Y:

xyf(data,Y,grid=somgrid(),rlen0,alpha=c(0.05,0.01)) I want to do

classification based on a column which shows the speed that a

protocols is run, and this column is the following:

$speed :num 4 4 3 3 3 1 1 1 2 1 4 4 3 numbers from 1 to 4 show the

speed from very fast to very slow protocols. so the property I want

to be modeled is df$speed, but I don't know how should I bring it in

xyf function. Does anyone know how to do that? I also added my train

set ans test set:

dt=sort(sample(nrow(df),nrow(df)*.7)) trainß[dt,]

Xtraining=scale(trian) Xtest=scale(-trian)

center=attr(Xtrianing,"scaled:center")

scale=attr(Xtraining,"scaled:scale")

xyf(Xtraining,........,grid=somgrid(10,10,"hexagonal"))

Thanks for any Help, Elahe

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