Hi

> -----Original Message-----
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of dada
> Sent: Thursday, December 13, 2012 12:41 AM
> To: r-help@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
> Sent from the R help mailing list archive at Nabble.com.
> 
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