Hello Everyone I am calculating Fleiss Kappa, I have 28 raters, 5 Subjects and 5 ratings (i.e. A dataset with 28 columns and 5 rows). The problem is that there are 2 missing values in the data. (Right now I have manually deleted the values in csv file and then imported it in R
1) Would it better to replace those with "0" or should those be omitted? By omission I will be left with only 26 raters. 2) Also when we use na.omit(objectname) it deleted missing values row-wise, how can data be omitted column-wise? 3) My second problem is that overall agreement comes to zero, whereas the data is not showing agreement to be close to zero. The ratings 4 and 5 are being given maximum time (the ratings are 1: total disagreement and 5: Total Agreement) whereas for 1 and 2 its very less. Results I got using agree() > agree(demoA) Percentage agreement (Tolerance=0) Subjects = 5 Raters = 26 %-agree = 0 can any1 point where I might be wrong? 4) Can we calculate percentage of agreement for each subject? If yes how? Please help me for these queries Thank you very much in advance Regards Sunita -- View this message in context: http://www.nabble.com/Fliess-Kappa-tp24460901p24460901.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@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.
