Yes, and it should fail or return NA, as the required information is not
available. The problem is that it had logical NAs not numeric NAs for the
center component.
#3682 points out something that is on the help page: if you supply covmat
as a matrix (and not a covariance list) there is no information on the
centring done and x is ignored.
On Thu, 22 Jan 2004 [EMAIL PROTECTED] wrote:
>
> Dear all,
>
> predict.princomp seems to expect non-NA component $center which is not set
> by princomp.default.
>
>
> Best regards
>
>
>
> Jens Oehlschl�gel
>
>
>
> > x <- matrix(rnorm(400), ncol=4)
> > predict(princomp(x, covmat=cov(x)), newdata=x[1:10, ])
> Error in if (center) { : missing value where TRUE/FALSE needed
> In addition: Warning message:
> the condition has length > 1 and only the first element will be used in: if
> (center) {
> > version
> _
> platform i386-pc-mingw32
> arch i386
> os mingw32
> system i386, mingw32
> status
> major 1
> minor 8.1
> year 2003
> month 11
> day 21
> language R
>
>
--
Brian D. Ripley, [EMAIL PROTECTED]
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 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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