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?
 
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
>
>
>
>
>     [[alternative HTML version deleted]]
>
>
>
>
> ______________________________________________
> R-help@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.


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




      
        [[alternative HTML version deleted]]

______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.

Reply via email to