Hi all,
I've got the following error message in using e1071 svm routine...
Could anybody please help me?
Thank you!
---------------------------------
model <- svm(y=factor(mytraindata[, 1]), x=mytraindata[, -1], probability=T)
Error in if (any(co)) { : missing value where TRUE/FALSE needed
In addition: Warning message:
In FUN(newX[, i], ...) : NAs introduced by coercion
Unlike Splus, R does not use T for TRUE. On Tue, Jul 7, 2009 at 6:05 PM, Michael<comtech.usa at gmail.com> wrote:> Hi all, > > I've got the following error message in using e1071 svm routine... > > Could anybody please help me? > > Thank you! > > --------------------------------- > model <- svm(y=factor(mytraindata[, 1]), x=mytraindata[, -1], probability=T) > Error in if (any(co)) { : missing value where TRUE/FALSE needed > In addition: Warning message: > In FUN(newX[, i], ...) : NAs introduced by coercion > > ______________________________________________ > R-help at 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. >-- Max
Hi all,
I am encountering the same error "Error in if (any(co)) { : missing value
where TRUE/FALSE needed"
when i run:model <- svm(databctrain, classesbctrain)
I am not sure what this error means . is it some problem with the dataset ?
Could i get some help ?
Thanks,
Akshatha
losemind wrote:>
> Hi all,
>
> I've got the following error message in using e1071 svm routine...
>
> Could anybody please help me?
>
> Thank you!
>
> ---------------------------------
> model <- svm(y=factor(mytraindata[, 1]), x=mytraindata[, -1],
> probability=T)
> Error in if (any(co)) { : missing value where TRUE/FALSE needed
> In addition: Warning message:
> In FUN(newX[, i], ...) : NAs introduced by coercion
>
> ______________________________________________
> R-help at 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.
>
>
--
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