[Rd] lower.tail option in pnorm
Prof Brian Ripley
ripley at stats.ox.ac.uk
Tue Dec 8 17:20:26 CET 2009
>From the help page:
pnorm(q, mean = 0, sd = 1, lower.tail = TRUE, log.p = FALSE)
x,q: vector of quantiles.
lower.tail: logical; if TRUE (default), probabilities are P[X <= x],
otherwise, P[X > x].
Note that lower.tail is not said to be a vector, and the first value
is taken (what it is is random in your example).
On Tue, 8 Dec 2009, Ken Knoblauch wrote:
> Hi,
>
> I would have thought that these two constructions would
> produce the same result but they do not.
>
> Resp <- rbinom(10, 1, 0.5)
> Stim <- rep(0:1, 5)
> mm <- model.matrix(~ Stim)
> Xb <- mm %*% c(0, 1)
> ifelse(Resp, log(pnorm(Xb)), log(1 - pnorm(Xb)))
> pnorm(as.vector(Xb), lower.tail = Resp, log.p = TRUE)
>
>> ifelse(Resp, log(pnorm(Xb)), log(1 - pnorm(Xb)))
> [1] -0.6931472 -1.8410216 -0.6931472 -0.1727538 -0.6931472
> [6] -0.1727538 -0.6931472 -1.8410216 -0.6931472 -1.8410216
>> pnorm(as.vector(Xb), lower.tail = Resp, log.p = TRUE)
> [1] -0.6931472 -1.8410216 -0.6931472 -1.8410216 -0.6931472
> [6] -1.8410216 -0.6931472 -1.8410216 -0.6931472 -1.8410216
>
> If I have missed something obvious, I would be grateful
> to have it pointed out.
>
>> sessionInfo()
> R version 2.10.1 beta (2009-12-04 r50668)
> i386-apple-darwin9.8.0
>
> locale:
> [1] en_US.UTF-8/en_US.UTF-8/C/C/en_US.UTF-8/en_US.UTF-8
>
> attached base packages:
> [1] stats graphics grDevices utils datasets methods
> [7] base
>
> loaded via a namespace (and not attached):
> [1] tools_2.10.1
>
> Thanks for any enlightenment.
>
> best,
>
> Ken
>
> --
> Ken Knoblauch
> Inserm U846
> Stem-cell and Brain Research Institute
> Department of Integrative Neurosciences
> 18 avenue du Doyen Lépine
> 69500 Bron
> France
> tel: +33 (0)4 72 91 34 77
> fax: +33 (0)4 72 91 34 61
> portable: +33 (0)6 84 10 64 10
> http://www.sbri.fr/members/kenneth-knoblauch.html
>
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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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