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.
sorry to bother everyone.
i have question to get the coefficient and confidence interval in Logic
Regression with Logistic model. below i list the R code
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="")
#
Hi there:
recently i try to use LogicReg package for a tree model(logistics fit )
. i list my code and error below:
> dim(model.dat)
[1] 48000 745
> fit1 <- logreg(resp = model.dat[,745], bin=model.dat[, 9:700], type = 3,
select = 3, ntrees = c(1,2), nleaves=c(1,7), )
Insufficient declaratio
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