R help - Feb 2011 - kohonen: "Argument data should be numeric"

Hi,

I'm trying to utilize the kohonen package to build SOM's. However,
trying this on my data I get the error:

"Argument data should be numeric"

when running the som(data.train, grid = somgrid(6, 6, "hexagonal"))
function. As you see, there is a problem with the data type of
data.train which is a list. When I try to convert it to "numeric" I
get the error:

(list) object cannot be coerced to type 'double'

What should I do? I can convert the data.train if I take only one
column of the list: data.train[[1]], but that is naturally not what I
want. How did I end up with this data format?

What I did:
data1 <- read.csv("data1.txt", sep = ";")
training <- sample(nrow(data1), 1000)
data.train <- data1[training,2:20]

I tried to use scan as the import method (read about this somewhere)
and unlist, but I'm not really sure how I should get it to numeric/
working.



Thanks,
Jay

On 25.02.2011 15:33, Jay wrote:
> Hi,
>
> I'm trying to utilize the kohonen package to build SOM's. However,
> trying this on my data I get the error:
>
> "Argument data should be numeric"
>
> when running the som(data.train, grid = somgrid(6, 6,
"hexagonal"))
> function. As you see, there is a problem with the data type of
> data.train which is a list. When I try to convert it to "numeric"
I
> get the error:
>
> (list) object cannot be coerced to type 'double'
>
> What should I do? I can convert the data.train if I take only one
> column of the list: data.train[[1]], but that is naturally not what I
> want. How did I end up with this data format?
>
> What I did:
> data1<- read.csv("data1.txt", sep = ";")
> training<- sample(nrow(data1), 1000)
> data.train<- data1[training,2:20]
>
> I tried to use scan as the import method (read about this somewhere)
> and unlist, but I'm not really sure how I should get it to numeric/
> working.

We do not know what data types are present in data1. If all columns are 
numeric, just convert to a matrix (using as.matrix()).

Uwe Ligges





>
>
> Thanks,
> Jay
>
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