(PR#1964) The attached function working fine with R 1.3.0 but giving problem with R 1.5.1 (PR#1964)

[ripley@stats.ox.ac.uk]

1) That is not where you said the error was.

2) iris is a data frame with five columns, one a factor, and that example
should not have worked in 1.3.0 (and I doubt it did).

Please do read the section on BUGS in the FAQ.

On Fri, 30 Aug 2002, Kaushik Bhattacharyya wrote:

> Yes. It passed the "make check". The problem is coming in Tru64 Unix also.
>
> Here is the error message.
>
> For example:
>
> > clusproj(newiris,rep(1,4))
> Error in X %*% a : requires numeric matrix/vector arguments
>
> Here newiris is the iris dataset.
>
> Thanks,
>
> Kaushik
>
> -----Original Message-----
> From: ripley@stats.ox.ac.uk [mailto:ripley@stats.ox.ac.uk]
> Sent: Friday, August 30, 2002 4:41 PM
> To: Kaushik Bhattacharyya
> Cc: r-devel@stat.math.ethz.ch; R-bugs@biostat.ku.dk; Yannis Yatracos
> Subject: RE: (PR#1964) The attached function working fine with R 1.3.0 but giving problem with R 1.5.1 (PR#1964)
>
>
> And the error message is?
>
> Since you mention this is Solaris, did the the installation pass `make check'?  There is a known problem with current gcc compilers on Solaris generating incorrect code.
>
> On Fri, 30 Aug 2002, Kaushik Bhattacharyya wrote:
>
> > The division part of the following code is not executing -
> >
> > (seq(n-1)*mean(XS)-cumsum(XS[seq(n-1)]))*diff(XS)/((n-1)*var(XS))
>
>
> --
> Brian D. Ripley,                  ripley@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
>
>

-- 
Brian D. Ripley,                  ripley@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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