[R] question for Logic Regression

[coldeyes]

thanks for you response,  i try predict command, it is doesn't work. i list a
simulate code below:

X <- matrix(as.numeric(runif(400) < 0.5), 50,8) 
colnames(X) <- paste("X", 1:ncol(X), sep="") 
rownames(X) <- paste("case", 1:nrow(X), sep="")

# Define expected result: Y = (NOT X2) AND X6
Y <- as.numeric(!X[,2] & X[,6]) 

Z<-cbin(X,Y)

set.seed(12345)

Annealing <- logreg.anneal.control(start = 4, end = -4, iter = 1000, update
= 50)

logicfit <- logreg(resp=Z[,9], bin=Z[,1:8],
                   type = 3,
                   select = 2,
                   ntrees=2,
                   nleaves=3,  
                   anneal.control=Annealing)

new<-data.frame(Z)
new<-NULL
alltrees <- predict(logicfit, new) 

names(logicfit) 

doesn't have coef class. 

thanks




Yasir Kaheil wrote:
> 
> try
> alltrees <- predict(fit, model.dat2) # make sure response variable is not
> included in model.dat2
> 
> also to see the other attributes in "fit", try: attributes(fit)
> 
> thanks
> y
> 
> 
> 
> coldeyes.Rhelp wrote:
>> 
>> Hi All:
>> 
>> how to get the coefficient for logic regression using selection=2 ( fit 
>> multiple models) and type=3 ( logistic regression)
>> for example i have a fit like below :
>> fit<-logreg(resp = model.dat[,21], bin=model.dat[, 
>> 2:18],sep=model.dat[,1] ,type=3,select=2,ntrees=2,nleaves=6 
>> ,anneal.control=Annealing,tree.control=TreeControl)
>> 
>> i try to use  fit$coef  but i get nothing.
>> 
>> and i try to use eval.logreg to evaluate a validate data "model.dat2", 
>> but i cannot fit "model" class make below formula work
>> alltrees <- eval.logreg(fit$model , model.dat2)
>>  
>> could anyone enlighten me a little.
>> thanks
>> leo
>> 
>> ______________________________________________
>> R-help at 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.
>> 
>> 
> 
> 

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