[R] Function recommendation for this study...

spencerg spencer.graves at prodsyse.com
Mon May 11 05:51:41 CEST 2009


      To look up "observer agreement", you might consider the 
"RSiteSearch" package.  The "RSiteSearch.function" looks only for 
matches in help pages of contributed packages. 


library(RSiteSearch)
oa <- RSiteSearch.function("observer agreement")
attr(oa, "hits") # 4 functions matching this term
HTML(oa) # to open the results as a table in a web browser. 


      An alternative search term for this is "interrater reliability". 


ir.r <- RSiteSearch.function("inter-rater reliability")
attr(ir.r, "hits") # 1
irr <- RSiteSearch.function("interrater reliability")
attr(irr, "hits") # 19
ir..r <- RSiteSearch.function("inter rater reliability")
attr(ir..r, "hits") # 1


      In particular, this identified a package "irr" for interrater 
reliability. 


      The development version of the "RSiteSearch" package on R-Forge 
includes a "unionRSiteSearch" function that allows one to combine all 
these searches.  You can get this version using 
'install.packages("RSiteSearch", 
repos="http://R-Forge.R-project.org")';  if this gives you version 
1.0-0, please wait 24 hours and try again, because this version contains 
a bug that I just fixed.  The new version 1.0-1 should be available in 
24 hours.  With it, the following just worked for me: 


IRR <- unionRSiteSearch(oa, unionRSiteSearch(ir.r,
         unionRSiteSearch(irr, ir..r) ) )
attr(IRR, "hits")
HTML(IRR)


      Hope this helps. 
      Spencer Graves

Murray Cooper wrote:
> Paul,
>
> I suggest looking up "observer agreement". The description of your 
> study sounds like a classical
> categorical observer agreement problem. I can't give
> a reference off the top of my head, but if you get
> stuck, e-mail me and I'll try and find a ref to get you started.
>
> Murray M Cooper, Ph.D.
> Richland Statistics
> 9800 N 24th St
> Richland, MI, USA 49083
> Mail: richstat at earthlink.net
>
> ----- Original Message ----- From: "Paul Heinrich Dietrich" 
> <paul.heinrich.dietrich at gmail.com>
> To: <r-help at r-project.org>
> Sent: Sunday, May 10, 2009 8:25 AM
> Subject: [R] Function recommendation for this study...
>
>
>>
>> Hi,
>> I'm not used to thinking along these lines, and wanted to ask your 
>> advice:
>>
>> Suppose you have a sample of around 100, consisting of patients 
>> according to
>> doctors, in which patients and doctors are given a questionnaire with
>> categorical responses.  Each patient somehow has roughly 3 doctors, or 3
>> rows of data.  The goal is to assess by category of each question or 
>> DV the
>> agreement between the patient and 3 doctors.  For example, a question 
>> may be
>> asked about how well the treatment is understood by the patient, and the
>> patient answers with their perception, while the 3 doctors each 
>> answer with
>> their perception.
>>
>> The person currently working on this has used a Wilcoxon Sign Rank 
>> test, and
>> asked what I thought.  Personally, I shy away from nonparametrics and 
>> prefer
>> parametric Bayesian methods, but of course am up for whatever is most
>> appropriate.  I was concerned about using multiple Wilcoxon tests, 
>> one for
>> each question, and wondering if there is a parametric method in R for
>> something like this, and a method which is multivariate?  Thanks for any
>> suggestions.
>> -- 
>> View this message in context: 
>> http://www.nabble.com/Function-recommendation-for-this-study...-tp23469646p23469646.html 
>>
>> Sent from the R help mailing list archive at Nabble.com.
>>
>> ______________________________________________
>> 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.
>>
>
> ______________________________________________
> 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.
>



More information about the R-help mailing list