[R] Function recommendation for this study...

[Paul Heinrich Dietrich]

Thank you for the suggestions, I'm sure irr is what I'm looking for.  Thanks
again.


spencerg wrote:
> 
>       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.
>>
> 
> ______________________________________________
> 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.
> 
> 

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