Hi
> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of dada
> Sent: Thursday, December 13, 2012 12:41 AM
> To: r-help at r-project.org
> Subject: [R] neural net
>
> Hi
> I would like to do neural netowrk analysis on my data. It look like
> this:
>
> drug param1 param2 param3 param4 param5 class
> A 111 15 125 40 0.5 1
> B 347 13 280 55 3 2
> C 335 9 119 89 -40 1
> D 477 37 75 2 0 1
> E 863 24 180 10 5 2
> F 737 28 150 15 6 2
> G 390 63 167 12 0 3
> H 209 93 200 48 45 3
> I 376 72 201 45 -60 3
> J 262 16 205 49 25 3
> K 273 39 267 53 11 1
> L 192 33 164 19 15 2
> M 282 2 213 86 30 1
> N 111 11 198 68 -21 1
> O 387 20 143 12 16 2
> P 674 15 78 -20 -17 2
> R 734 54 140 24 7 2
> S 272 46 159 57 28 2
> T 245 37 90 6 31 2
>
> I have entered the code below:
> > nn <- neuralnet(
> + class~param1+param2+param3+param4+param5+param5,
> + data=mydata, hidden=2, err.fct="ce",
> + linear.output=FALSE)
>
> However the error appeared:
> Error in model.frame.default(formula.reverse, data) :
> object is not a matrix
>
> I changed the data frame to matrix:
> mydata.mat=as.matrix(mydata)
This is not very wise. It changes all numeric values to character. From
documentation and your data frame there is nothing obviously wrong. However you
did not provide info about structure of your data something like
summary(mydata) or str(mydata).
Documentation does not say much about how neuralnet reacts e.g. on NA values.
The best way how to proceed seems to try recommended data and compare them to
your data to see where are the differences.
Or you can read sources to see where the error message originates.
Regards
Petr
>
> but still the same error appears...
>
> How can I fix this ? I would be very grateful for your help !
>
>
>
> --
> View this message in context: http://r.789695.n4.nabble.com/neural-net-
> tp4652927.html
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>
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