Hey everyone,

So I am looking for a way to create a decision tree for a modeling class and
I am not all that familiar with R. I thought I might be able to use RPart,
but I can't get it to work. I want a simple tree with a parent that says the
amount and each child has a percentage of likelyhood and a payback so it
would look something like this...

      _____10%/1000
100|_____90%/0


So I tried to do this by creating a table (again remember I am new)

>test <- matrix(c(000000.1,000000.9,1000,0,.1*1000, .9*0), ncol=2,
byrow=TRUE)
>colnames(test) <- c("Case A", "Case B")
>rownames(test) <- c("Chance", "Payoff", "Total")
> test <- as.table(test)


But when I run..
>fit <- rpart(Total ~ Chance * Payoff, method="class", data=test)

I see Error in eval(expr, envir, enclos) : object 'Chance' not found

I try...

fit <- rpart(Kyphosis ~ Age + Number + Start,
   method="class", data=kyphosis)

and it works fine.

Am I missing something here?

Thanks

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