Sorry David,
The formula that I use here is

fmla = as.formula(Y ~ x1 + x2 + x3 + x4 + x5 + x6 + x7 + x8)

Thanks





On Sat, Oct 5, 2013 at 2:02 AM, David Winsemius <dwinsemius@comcast.net>wrote:

>
> On Oct 3, 2013, at 3:07 PM, Mary Kindall wrote:
>
> > In the reproducible example given below, why I am not getting any result
> > with generalized boosted model (gbm).  Other methods does show me the
> > desired result.
> > In the example data file (attached) example.txt, the predictors x3 and x4
> > are correlated with response Y.
> >
> >
> >
> > tmpData = read.table("Desktop/example.txt", sep="\t",header=TRUE)
> > head(tmpData)
> > fmla = getTheFormulaFromDataFrame(tmpData)
>
> > fmla = getTheFormulaFromDataFrame(tmpData)
> Error: could not find function "getTheFormulaFromDataFrame"
>
>
> > fmla
> > gbm(fmla, distribution = "bernoulli", data = tmpData) #doesn't work
> >
> > #All the following works
> > bagging(fmla,  data=tmpData, control=control, coob=TRUE)
> > rpart(fmla,  dat=tmpData, method = "class", control=control )
> > glm(fmla, family="binomial", data = tmpData)
> >
> >
> > Thanks
> >
> >
> >
> > --
> > -------------
> > Mary Kindall
> > Yorktown Heights, NY
> > USA
> > <example.txt>______________________________________________
> > R-help@r-project.org mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> > and provide commented, minimal, self-contained, reproducible code.
>
> David Winsemius
> Alameda, CA, USA
>
>


-- 
-------------
Mary Kindall
Yorktown Heights, NY
USA

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