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@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.
>>
>>
>
>
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