Normal Distribution Quantiles
If I understand what you have said below, it looks like you do NOT have the problem solved manually. You CAN use qnorm , and when you do so, your equation yields a simple quadratic which, of course, has an exact solution that you can calculate in R. Of course, one can use uniroot or whatever to solve the quadratic; or simulation or interpolation using pnorm. But other than the R practice, these are unnecessary and, in this case, a bit silly. Cheers, Bert On Sat, Jan 8, 2011 at 6:25 AM, Rainer Schuermann
<Rainer.Schuermann at gmx.net> wrote:
Sounds like homework, which is not an encouraged use of the Rhelp list. You can either do it in theory...
It is _from_ a homework but I have the solution already (explicitly got that done first!) - this was the pasted Latex code (apologies for that, but in plain text it looks unreadable[1], and I thought everybody here has his / her favorite Latrex editor open all the time anyway...). I'm just looking, for my own advancement and programming training, for a way of doing that in R - which, from your and Dennis' reply, doesn't seem to exist. I would _not_ misuse the list for getting homework done easily, I will not ask "learning statistics" questions here, and I will always try to find the solution myself before posting something here, I promise! Thanks anyway for the simulation advice, Rainer ? ?(4000 - (40*n)) ? -329 [1] --------------- = ---- ? ? ? ? ? ? ?1 ? ? ? ?200 ? ? ? (10*(n^-)) ? ? ? ? ? ? ?2 On Saturday 08 January 2011 14:56:20 you wrote:
On Jan 8, 2011, at 6:56 AM, Rainer Schuermann wrote:
This is probably embarrassingly basic, but I have spent quite a few
hours in Google and RSeek without getting a clue - probably I'm
asking the wrong questions...
There is this guy who has decided to walk through Australia, a total
distance of 4000 km. His daily portion (mean) is 40km with an sd of
10 km. I want to calculate the number of days it takes to arrive
with 80, 90, 95, 99% probability.
I know how to do this manually, eg. for 95%
$\Phi \left( \frac{4000-40n}{10 \sqrt{n}} ?\right) \leq 0.05$
find the z score...
but how would I do this in R? Not qnorm(), but what is it?
Sounds like homework, which is not an encouraged use of the Rhelp list. You can either do it in theory or you can simulate it. Here's a small step toward a simulation approach. ?> cumsum(rnorm(100, mean=40, sd=10)) ? ?[1] ? 41.90617 ? 71.09148 ?120.55569 ?159.56063 ?229.73167 255.35290 ?300.74655 snipped ? [92] 3627.25753 3683.24696 3714.11421 3729.41203 3764.54192 3809.15159 3881.71016 ? [99] 3917.16512 3932.00861 ?> cumsum(rnorm(100, mean=40, sd=10)) ? ?[1] ? 38.59288 ? 53.82815 ?111.30052 ?156.58190 ?188.15454 207.90584 ?240.64078 snipped ? [92] 3776.25476 3821.90626 3876.64512 3921.16797 3958.83472 3992.33155 4045.96649 ? [99] 4091.66277 4134.45867 The first realization did not make it in the expected 100 days so further efforts should extend the simulation runs to maybe 120 days. The second realization had him making it on the 98th day. There is an R replicate() function available once you get a function running that will return a specific value for an instance. This one might work: ?> min(which(cumsum(rnorm(120, mean=40, sd=10)) >= 4000) ) [1] 97 If you wanted a forum that does not explicitly discourage homework and would be a better place to ask theory and probability questions, there is CrossValidated: http://stats.stackexchange.com/faq
Thanks in advance, and apologies for the level of question... Rainer
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD West Hartford, CT
______________________________________________ R-help at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
Bert Gunter Genentech Nonclinical Biostatistics