[R] Funny behaviour of coef() and vcov() if X is singular
Prof Brian Ripley
ripley at stats.ox.ac.uk
Mon Sep 27 14:45:56 CEST 2004
Yes, and that's intentional. You don't want non-information on
unestimated parameters, do you? (What would you do with it?)
BTW, you forgot the very important caveat `the "lm" methods of coef() and
vcov()'.
On Mon, 27 Sep 2004, BXC (Bendix Carstensen) wrote:
> coef() and vcov() have different dimensions if a model contains alised
> parameters
> as the following example illustrates.
>
> A search on "alised" gave noting as far as I could see.
>
> Is this a known bug?
>
> Bendix C
> ----------------------
> Bendix Carstensen
> Senior Statistician
> Steno Diabetes Center
> Niels Steensens Vej 2
> DK-2820 Gentofte
> Denmark
> tel: +45 44 43 87 38
> mob: +45 30 75 87 38
> fax: +45 44 43 07 06
> bxc at steno.dk
> www.biostat.ku.dk/~bxc
> ----------------------
>
> > x <- rnorm(100)
> > y <- rnorm(100)
> > z <- rnorm(100)
> > summary( mu <- lm( y ~x + I(x-z)+z ) )
>
> Call:
> lm(formula = y ~ x + I(x - z) + z)
>
> Residuals:
> Min 1Q Median 3Q Max
> -1.917325 -0.633091 -0.003363 0.561464 2.473183
>
> Coefficients: (1 not defined because of singularities)
> Estimate Std. Error t value Pr(>|t|)
> (Intercept) 0.07806 0.09118 0.856 0.3940
> x -0.27373 0.11415 -2.398 0.0184
> I(x - z) 0.08617 0.08524 1.011 0.3146
> z NA NA NA NA
>
> Residual standard error: 0.9061 on 97 degrees of freedom
> Multiple R-Squared: 0.05813, Adjusted R-squared: 0.03871
> F-statistic: 2.993 on 2 and 97 DF, p-value: 0.05476
>
> > coef( mu )
> (Intercept) x I(x - z) z
> 0.07805884 -0.27373500 0.08617152 NA
> > vcov( mu )
> (Intercept) x I(x - z)
> (Intercept) 8.313341e-03 -5.702109e-05 0.0007248947
> x -5.702109e-05 1.303028e-02 -0.0057006507
> I(x - z) 7.248947e-04 -5.700651e-03 0.0072657814
> > length( coef( mu ) )
> [1] 4
> > dim( vcov( mu ) )
> [1] 3 3
> > version
> _
> platform i386-pc-mingw32
> arch i386
> os mingw32
> system i386, mingw32
> status
> major 1
> minor 9.1
> year 2004
> month 06
> day 21
> language R
>
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>
--
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)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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