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(First of all, thanks so much for this package!
While it took me some time to get used to it, it's super handy even for simple statistics in business applications.)
I might lack the knowledge to combine the pieces of this framework, but I'm missing explicit support for measuring reliability between raters, e.g. Krippendorff's alpha.
R provides a nice interface for this here.
Thanks again for your efforts and time in supporting this project!
The text was updated successfully, but these errors were encountered:
The Original paper by Prof. Krippendorf is available here.
Together with a colleague he also provided a (to me unreadable) implementation in SAS here.
Instead, I'd recommend working of Matlab code and the wikipedia article on the subject.
I'm currently using R's package "irr"'s implementation, which can be found here - I extracted the specific file for you in this GIST.
Let me know if there's anything else I can help with - unfortunately I had about one introductory class in statistics, so the finer points of Krippendorf's alpha are entirely lost on me.
(Original: clbustos/statsample#13)
(First of all, thanks so much for this package!
While it took me some time to get used to it, it's super handy even for simple statistics in business applications.)
I might lack the knowledge to combine the pieces of this framework, but I'm missing explicit support for measuring reliability between raters, e.g. Krippendorff's alpha.
R provides a nice interface for this here.
Thanks again for your efforts and time in supporting this project!
The text was updated successfully, but these errors were encountered: