R help - Nov 2010 - question

Hi,
    is there a way to convert an rpart tree into ifelese statement that
codes the data withi factors labeled for the tree?

    for e.g.  if Age>50 and group=B,C then 'Age>50 and group=B,C'
                if Age<=50 then group=N,A then 'Age<=50 then
group=N,A'

data$tree<-as.factor(ifelse(Age>50 and group in (B,C), 'Age>50 and
group=B,C', ifelse(Age<=50 then group=N,A, 'Age<=50 then
group=N,A')))

this way the rpart tree can be used to segment the data by the rule that
does with it to do performance on each tree.

any solution to traverse the rpart tree into if else statement would be
helpful.

thanks
Dhruv








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Hi Dear,
I have a question, Thank you if you answer me.
Can I use cure model to short-term(5years)of breast cancer?
Thanks a lot


      
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How do I determine if my data deviate from the normal distribution?
The sample size is 1000 (weights of people).

On Tue, 14 Dec 2010, Matthew Rosett wrote:
> How do I determine if my data deviate from the normal distribution?
> The sample size is 1000 (weights of people).
See

?qqnorm

and/or

?shapiro.test

and/or

a text book on applied statistics

and/or

google for "testing normality".


Hth,

Gerrit

PS: With n = 1000 your data will almost inevitably deviate from the normal 
distribution.