[R] Asymmetrical Confidence Interval
David Winsemius
dwinsemius at comcast.net
Mon Jun 20 15:02:06 CEST 2011
Learn to search the Archives (or at least one of the forms of the
Archives)
http://search.r-project.org/cgi-bin/namazu.cgi?query=confidence+interval+logit+proportion&max=100&result=normal&sort=score&idxname=functions&idxname=Rhelp08&idxname=Rhelp10&idxname=Rhelp02
(That is constructed with an URL I use for the purpose that brings up
the RSiteSearch page with different parameters than are currently in
the default implementation. This is an R function that does the same:
> rhelpSearch
function(string,
restrict = c("Rhelp10", "Rhelp08", "Rhelp02",
"functions" ),
matchesPerPage = 100, ...)
RSiteSearch(string=string, restrict = restrict,
matchesPerPage = matchesPerPage, ...)
--
David
On Jun 20, 2011, at 8:50 AM, Muhuri, Pradip (SAMHSA/CBHSQ) wrote:
> Dear Patrick,
>
>
> I do agree with you that it is a very simple problem. Actually, I
> do have the following SAS program written to compute the
> asymmetrical confidence interval.
>
> As a new user of R, I just wanted to see the corresponding codes in
> R if they already exist.
>
> Thanks,
>
> Pradip
>
>
>
> *SAS program begins here;
>
> /********************************************************
> MEAN = prevalence rate
> PLOWER = lower 95% confidence limit for the rate
> PPER = upper 95% confidence limit for the rate
> TLOWER = lower 95% confidence limit for the total
> TUPPER = upper 95% confidence limit for the total
>
> Calculate the 95% CI FOR PREVALENCE RATES AND TOTALS
> ********************************************************/
>
> IF MEAN=0 OR MEAN=1 THEN DO;
> L=.;
> NUMBER=.;
> A=.; B=.;
> PLOWER=.; PUPPER=.; TLOWER=.; TUPPER=.;
> END;
>
>
> ELSE DO;
>
> L=LOG(MEAN/(1-MEAN));
> NUMBER=SEMEAN/(MEAN*(1-MEAN));
> A=L-1.96*NUMBER;
> B=L+1.96*NUMBER;
> PLOWER=1/(1+EXP(-A)); PUPPER=1/(1+EXP(-B));
> TLOWER=WSUM*PLOWER; TUPPER=WSUM*PUPPER;
>
> END;
>
> RUN;
>
> *SAS program ends here:
>
>
> Pradip K. Muhuri, PhD
> Statistician
> Substance Abuse & Mental Health Services Administration
> The Center for Behavioral Health Statistics and Quality
> Division of Population Surveys
> 1 Choke Cherry Road, Room 7-1023
> Rockville, MD 20857
>
> Tel: 240-276-1070
> Fax: 240-276-1260
> e-mail: Pradip.Muhuri at samhsa.hhs.gov
>
>
> The Center for Behavioral Health Statistics and Quality your
> feedback. Please click on the following link to complete a brief
> customer survey: http://cbhsqsurvey.samhsa.gov
>
> -----Original Message-----
> From: Patrick Connolly [mailto:p_connolly at slingshot.co.nz]
> Sent: Sunday, June 19, 2011 1:57 AM
> To: Muhuri, Pradip (SAMHSA/CBHSQ)
> Cc: r-help at r-project.org; 'tlumley at u.washington.edu'
> Subject: Re: [R] Asymetrical Confidence Interval
>
> On Thu, 16-Jun-2011 at 04:43PM -0400, Muhuri, Pradip (SAMHSA/CBHSQ)
> wrote:
>
> |>
> |> Dear List,
> |>
>
> |> I wanted to calculate the asymmetrical confidence interval based on
> |> the sample statistic and standard error that available from the
> |> published report (complex survey-based).
>
> |> The calculation details can be seen from pages 17-18 of the
> |> document at the following link:
> |> http://www.oas.samhsa.gov/nsduh/2k5MRB/2k5statInference.pdf.
>
> |>
> |> Could someone tell me whether R has any function included in it
> |> "survey" or other contributed package of R.
>
> There might be one in a package somewhere, but it's so trivial to make
> your own function by using the information you already have.
>
> This is sounding suspiciously like a homework question.
>
>
> --
> ~
> .~
> .~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.
> ___ Patrick Connolly
> {~._.~} Great minds discuss ideas
> _( Y )_ Average minds discuss events
> (:_~*~_:) Small minds discuss people
> (_)-(_) ..... Eleanor Roosevelt
>
> ~
> .~
> .~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.~.
>
> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
West Hartford, CT
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