Hi all,
I've tried to make a decision tree for the following data set:
Level X Response
279 C 2.4728646 -9.445
341 B 0.5986398 -9.413
343 B 1.1786271 -9.413
384 D 1.4797870 -9.413
390 C 2.0364569 -9.133
391 D 0.9365739 -9.133
452 A 1.2858741 -11.480
455 C 1.3256245 -9.413
510 C 0.5758865 -9.413
537 D 1.9289431 -9.413
540 C 1.8646144 -9.413
554 B 1.3903752 -10.080
Using these commands:
> fit=rpart(Response ~ X + Level, data=decTree, method="anova",
> control=rpart.control(minsplit=1))
>
> printcp(fit) # display cp table
Regression tree:
rpart(formula = Response ~ X + Level, data=decTree, method = "anova",
control = rpart.control(minsplit = 1))
Variables actually used in tree construction:
character(0)
Root node error: 4.4697/12 = 0.37247
n= 12
CP nsplit rel error
1 0.01 0 1
I don't get a tree...
> plot(fit) # plot decision tree
Error in plot.rpart(fit) : fit is not a tree, just a root
> text(fit) # label the decision tree plot
Error in text.rpart(fit) : fit is not a tree, just a root
Can anyone tell me what's going wrong and give a hint how to solve it?
Best regards,
Joel
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