[R] binom.test [Broadcast]

[Liaw, Andy]

To quote one of the previous answers you've got: The formula you're
using is the TV.  The one binom.test() uses is the ballpark.  Take your
pick.

Andy 

From: Ethan Johnsons
> 
> Thank you for the info.  It helps.
> 
> After all, it would be:
> 
> > 0.1304348-1.96*(sqrt((0.1304348*(1-0.1304348))/46))
> [1] 0.03310968
> > 0.1304348+1.96*(sqrt((0.1304348*(1-0.1304348))/46))
> [1] 0.2277599
> 
> Does R have a function for the calculation above?
> 
> ej
> 
> 
> On 10/20/06, Francisco J. Zagmutt <gerifalte28 at hotmail.com> wrote:
> > Ethan,
> >
> > You need to explain why you think this is "not the right 
> function to 
> > use". R is doing exactly what you are asking it to do.  Now 
> is up to 
> > you to choose the methodology you feel is correct.
> > For a good discussion on your particular issue I recommend you the 
> > following
> > reference:
> >
> > A. Agresti and B. A. Coull, "Approximate is better than "exact" for 
> > interval estimation of binomial proportions," The American 
> Statistician, vol. 52, no.
> > 2, pp. 119-126, 1998.
> >
> > Once you figure out the "right function to use" see if the 
> function is
> > available in R.   If not readily available, and if after 
> searching through
> > R's documentation and the forum archives you still can't 
> find a way to 
> > perform the calculation, then is time to get back to this forum.
> >
> > Regards,
> >
> > Francisco
> >
> >
> > Dr. Francisco J. Zagmutt
> > College of Veterinary Medicine and Biomedical Sciences 
> Colorado State 
> > University
> >
> >
> >
> >
> > >From: "Ethan Johnsons" <ethan.johnsons at gmail.com>
> > >To: r-help at stat.math.ethz.ch
> > >Subject: [R] binom.test
> > >Date: Fri, 20 Oct 2006 17:18:02 -0400
> > >
> > >A quick question, please.
> > >
> > >46 e coli lab samples are tested,  6 of them returned positive.
> > >
> > >So, the best point estimate for p is  6/46 = 0.1304348.
> > >
> > >For a 95% CI for p,  I thought binom.test would give me the correct
> > >result, but it seems it is not the right function to use.   What is
> > >the R function for this?
> > >
> 
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> 
> 


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