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.
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 L?pine
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