[Rd] buglet in weighted.residuals(mlmObject)

[Prof Brian Ripley]

Thanks: changed in R-patched.

On Wed, 19 Jan 2011, William Dunlap wrote:

> When weighted.residuals() is given a fitted model
> object with several responses (class mlm) and some
> zero weights it returns a vector instead of a matrix.
> It looks like it is doing
>   resids[ weights != 0 ]
> instead of
>   resids[ weights != 0, , drop=FALSE]
> in the multi-response case.
>
> E.g.,
>
>> d4 <- data.frame(y1=1:4, y2=2^(0:3), wt=log(1:4),
> fac=LETTERS[c(1,1,2,2)])
>> fit <- lm(data=d4, cbind(y1,y2)~fac, weights=wt)
>> weighted.residuals(fit) # expect 3x2 matrix
> [1]  1.407294e-16 -5.847465e-01  5.205496e-01  5.950102e-16
> -2.338986e+00
> [6]  2.082198e+00
>> weighted.residuals(fit, drop0=FALSE)
>             y1            y2
> 1  0.000000e+00  0.000000e+00
> 2  1.407294e-16  5.950102e-16
> 3 -5.847465e-01 -2.338986e+00
> 4  5.205496e-01  2.082198e+00
>
> This is in R 2.12.0.  I haven't upgraded yet.
>
> Bill Dunlap
> Spotfire, TIBCO Software
> wdunlap tibco.com
>
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> R-devel at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
>

-- 
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)
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