>>>>> "CM" == Carmen Meier <[EMAIL PROTECTED]>
>>>>> on Fri, 08 Jun 2007 19:31:49 +0200 writes:
CM> Hi to all, maybe the last question was not clear enough.
CM> I did not found any hints how to decide whether it
CM> should use lower.tail or not. As it is an extra
CM> R-feature ( written in
CM> http://finzi.psych.upenn.edu/R/Rhelp02a/archive/66250.html
CM> ) I do not find anything about it in any statistical
CM> books of me.
Yes, most "statistical books" do not consider numerical accuracy
which is the real issue here.
Note that R is much more than a "statistical package" and hence
to be appreciated properly needs much broader (applied)
mathematical, statistical and computer science knowledge ;-)
When p ~= 1, '1 - p' suffers from so called cancellation
("Numerical analysis 101").
If you already know that you will use "q := 1 - p",
rather compuate 'q' directly than first compute p, then 1-p,
losing all accuracy.
All of R's p<foo>(..) functions have an argument 'lower.tail'
which is TRUE by default, since after all,
p<foo>(x) = Prob_{<foo>}[X <= x]
measures the probability of the lower or left tail of the
<foo>-distribution.
<foo> = norm is just a special case.
If you really want
q = 1 - p<foo>(x) = Prob_{<foo>}[X > x]
then you can get this directly via
q <- p<foo>(x, lower.tail = FALSE, ....)
Simple example with R :
> pnorm(10)
[1] 1
> 1 - pnorm(10)
[1] 0
> pnorm(10, lower.tail=FALSE)
[1] 7.619853e-24
Regards,
Martin Maechler, ETH Zurich
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