I'm looking for a function in R that extends kappa to multiple raters when
there is more than one response per subject. For example, say a group of
doctors have to assign diseases to patients. Each patient will be assigned
one to many diseases, and the number of doctors assigning diseases to any
one patient will be two to many.
Here's an extremely simple example of the type of data I might have (two
patients, three doctors, five diagnoses, and doctor 'x' assigns multiple
diagnoses per patient):
pat<-c('a','a','a','b','b','b','b')
doc<-c('x','x','y','x','x','y','z')
dx<-c('1','2','2','3','4','4','5')
df<-data.frame(pat=pat,doc=doc,dx=dx)
df
I found a paper that can address this [1], although I can't find it
referenced on cran. What I have found on cran doesn't address the
multi-response case. I don't want to reinvent the wheel if this has
already been implemented in R, and I'm still new to the language so I'm not
a fast coder. If anyone can help it would be greatly appreciated.
Cheers!
Luk Arbuckle
[1] Kraemer, Helena. Extension of the Kappa Coefficient. Biometrics 36,
no. 2 (1980). http://dx.doi.org/10.2307/2529972.
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