On Tue, 23 Apr 2002 baba at muj.biglobe.ne.jp wrote:
> Dear R-users
>
> I would like to apply classification and regression tree(CART) to the
following data.
You can use a classification tree or a regression tree, but not a
`classification and regression tree'. Your usage below suggests you want
a regression tree.
> I have some question on using 'tree' package.
> The data contains one response variable Y and five explanatory variables.
> The explanatory variable "x2" is categorical and not ordinal.
> But, the result obtained after running following R code
> has indicated that x2 is regard as continuous variable.
Well, that *is* what you asked for! You read x2 as a numeric variable in
scan. ?tree will tell you how to specify a categorical variable (via a
factor).
> I think that CART procedure can be available to categorical and continuous
variables.
>
> How can I correct the R code such that x2 is regard as categorical and not
ordinal?
Try Ex6$x2 <- factor(Ex6$x2).
Note that the rpart package is the recommended way to perform tree-based
analyses in R, and that `CART' is a trademark of a commercial package.
> By all means, reply me your suggestion or comments.
>
> Thanks and best regards,
> Baba
>
> ----------beginning of R code --------------------
> inputlist <- list(Y=0, x1=0, x2=0, x3=0,x4=0,x5=0)
> # inputlist <- list(Y=0, x1=0, x2="", x3=0,x4=0,x5=0)
> Ex6 <- scan("c:\\data\\CART\\EX6.txt",inputlist)
> Ex6.ltr <- tree(Y ~ x1 + x2 +x3 + x4 +x5 ,Ex6)
> ----------end of R code ---------------------------
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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