On 09.06.2010 15:15, azam jaafari wrote:
Thank you very much
I used bootpred for multinomial logistic reg. similar below:
theta.fit<- function(x,y){lsfit(x,y)}
theta.predict<- function(fit,x){
cbind(1,x)%*%fit$coef
}
sq.err<- function(y,yhat) { (y-yhat)^2}
results<- bootpred(x,y,20,theta.fit,theta.predict,
err.meas=sq.err)
x=data
mlr=multinom(y~x1+x2+x3+x4+x5, data)
after run results:
results<- bootpred(data, mlr,50,theta.fit,theta.predict, sq.err)
Error in as.vector(data) :
no method for coercing this S4 class to a vector
Is it incorrect?
First guess: bootpred() is from the "bootstrap" packages (you just told
about nnet).
From that help page (?bootpred):
x a matrix containing the predictor (regressor) values. Each row
corresponds to an observation.
And your data is some S4 class object, obviously, but bootpred expects a
matrix according to the docs ....
Uwe Ligges
Azam
--- On Wed, 6/9/10, Uwe Ligges<lig...@statistik.tu-dortmund.de> wrote:
From: Uwe Ligges<lig...@statistik.tu-dortmund.de>
Subject: Re: [R] bootpred for multinomial
To: "azam jaafari"<azamjaaf...@yahoo.com>
Cc: "R-help"<r-help@r-project.org>
Date: Wednesday, June 9, 2010, 5:46 AM
On 09.06.2010 13:26, azam jaafari wrote:
I applied bootpred for multinomial logistic reg. (with nnet package). I used
same as theta.fit and theta.predict of R for my data. but give me error. Can I
do this with
response vriable;7 levels
predictor variables:5 (1 classifier, 4 continuous)?
Thanks alot
Azam
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
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Yes, PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html and provide commented,
minimal, self-contained, reproducible code.
otherwise it is hard to help without your code and without any error
message.
Uwe Ligges
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______________________________________________
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
