Hi Elahe
I get slightly different error when using scale to nonnumeric data so I am not
sure if you use the scale function from base package.
> scale(raman[1:20,])
Error in colMeans(x, na.rm = TRUE) : 'x' must be numeric
Anyway, how do you expect scaling shall be done when you have nonumeric
variable. What shall be the output of
scale(iris$Species)
The only workaround is either to scale only numeric variables from your data
and add nonnumeric in folowing step or to change all factor variable to numeric
before scaling (which I would not recommend).
If your data are supposed to be numeric you can check if they really are by
str(df)
Cheers
Petr
> -Original Message-
> From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of ch.elahe
> via R-help
> Sent: Tuesday, June 14, 2016 5:29 PM
> To: R-help Mailing List <r-help@r-project.org>
> Subject: [R] Factor levels in training set
>
>
> Hi all,
> I want to use Supervised Self organizing Maps from Kohonen package for my
> data. I need to divide my df into training set and test set, but a part of my
> df
> contains column with factor levels and I don't know how to bring them into
> my training set. Currently I use the following command for my training set:
>
> dt=sort(sample(nrow(df),nrow(df)*.7))
> training=m[dt,]
> till here I get no error but in the next step which I need to bring my
> training
> set in a matrix I face this error:
>
> scale(df[training,])
> error: 'x' should be numeric
> Does anyone know how should I include column with factor levels in my df so
> that I don't get this error?
> Thanks for any help,
> Elahe
>
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