Hi,
I repost my question following the guide:
trn3 is my dataset:
> str(trn3)
`data.frame': 7361 obs. of 209 variables:
$ V1 : num -0.931 -0.955 -0.843 -0.963 -0.967 ...
$ V2 : num -0.4343 -0.0101 0.0707 -0.0909 -1.0000 ...
$ V3 : num -0.979 -0.979 -0.979 -0.980 -0.979 ...
$ V4 : num -0.987 -0.987 -0.987 -0.990 -0.987 ...
$ V5 : num -0.979 -0.979 -0.979 -0.980 -0.979 ...
$ V6 : num -1 -1 -1 -1 -1 ...
$ V7 : Factor w/ 2 levels "-1","1": 1 1 1 2 1 2 2 1 1 2 ...
...
$ V205: Factor w/ 2 levels "-1","1": 1 1 1 1 1 1 2 1 2 2 ...
$ V206: num -1 -1 -1 -1 -1 ...
$ V207: Factor w/ 2 levels "-1","1": 2 2 2 2 2 2 2 2 2 2 ...
$ V208: Factor w/ 2 levels "-1","1": 1 1 1 1 1 1 1 1 1 1 ...
$ V209: Factor w/ 2 levels "-1","1": 1 1 1 1 1 2 2 1 1 1 ...

r.v. basically contained the indice of variables whose importance were
evaluated from MeanDecreaseGini from randomForest, ordered descreasingly.
So, r.v[1:100] means the first 100 important variables.

> R.version
_
platform i686-redhat-linux-gnu
arch i686
os linux-gnu
system i686, linux-gnu
status
major 2
minor 1.1
year 2005
month 06
day 20
language R

> traceback()
2: nnet.default(x = trn3[, r.v[1:100]], y = trn3[, 209], size = 5,
decay = 5e-04, maxit = 200)
1: nnet(x = trn3[, r.v[1:100]], y = trn3[, 209], size = 5, decay = 5e-04,
maxit = 200)

nnet is from
library(nnet)

I need to say I read the post guide before. But I just did not want to take
too much time from people, so I did not put details here.


Weiwei

On 10/11/05, Uwe Ligges <ligges@statistik.uni-dortmund.de> wrote:
>
> Weiwei Shi wrote:
>
> > Hi, there:
> > I am trying nnet as followed:
> >
> >>mg.nnet<-nnet(x=trn3[,r.v[1:100]], y=trn3[,209], size=5, decay = 5e-4,
> >
> > maxit = 200)
> > # weights: 511
> > initial value 13822.108453
> > iter 10 value 7408.169201
> > iter 20 value 7362.201934
> > iter 30 value 7361.669408
> > iter 40 value 7361.294379
> > iter 50 value 7361.045190
> > final value 7361.038121
> > converged
> > Error in y - tmp : non-numeric argument to binary operator
> >
> > Please help!
>
>
> Please ask appropriately (we pointed you to the posting guide dozens of
> times now)!
>
> - We do neither have trn3 nor r.v
> - Which function nnet() are we talking about? Do you meant the one from
> package nnet in the VR bundle?
> - Which version of R and nnet are we talking about?
> - What about trying to debug yourself in a first step? E.g. a
> traceback() might give you (and us) some first hints what is going on.
>
> Uwe Ligges
>
>
>
>
>
>
> > Thanks,
> >
> > Weiwei
> >
> > --
> > Weiwei Shi, Ph.D
> >
> > "Did you always know?"
> > "No, I did not. But I believed..."
> > ---Matrix III
> >
> > [[alternative HTML version deleted]]
> >
> > ______________________________________________
> > R-help@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide!
> http://www.R-project.org/posting-guide.html
>
>


--
Weiwei Shi, Ph.D

"Did you always know?"
"No, I did not. But I believed..."
---Matrix III

	[[alternative HTML version deleted]]


