[R] Help with Krippendorff's Alpha

Hello! I am requesting help for a data set in which I have 6 evaluators (I've called them 'Trainers'), each of which took a questionnaire with 180 questions. The possible answers to the questions are ordinal numbers. I am looking to test inter-rater reliability of the questionnaire using Krippe

Re: [R] Imputing missing values using "LSmeans" (i.e., population marginal means) - advice in R?

ever, I'm concerned that I'm doing something wrong given the output for the marginal means for years (i.e., averaging across sites). Thanks in advance for any input. Cheers, Jenn - Original Message From: "Andy Liaw" To: "Jenn Barrett" , r-help@r-project.or

[R] Imputing missing values using "LSmeans" (i.e., population marginal means) - advice in R?

eld the same thing as using the LSmeans estimates? Does it make any sense? Thoughts? Many thanks in advance. Jenn __ 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

[R] Cgee: error: logistic model

t the problem. From the data, I want to know if there a decrease in the continuous trait is correlated with a change in the categorical trait. Any insight is much appreciated. Thank you, Jenn [[alternative HTML version deleted]]

[R] R Macro Question

Dear all, I am a new R user, and I have a question about R macro. Here is the situation, I want to do item option analysis (options include: A , B, C, D), below is the codes for option A analyses. #option A analyses optiona<-mat.or.vec(nrow(responsedata2), ncol(responsedata2)) # create A matr