fleiss.kappa.dist: Fleiss's generalized kappa coefficient
In raredd/ragree: Rater agreement

Description Usage Arguments Details Author(s) References

Computes Fleiss's kappa coefficient and standard error for multiple raters when data is an n x q matrix representing the distribution of raters be subject and by category.

1 2	fleiss.kappa.dist(ratings, weights = "unweighted", conflev = 0.95, N = Inf, print = TRUE)

`ratings`	an `n x q` matrix showing the number of raters by subject and category where `n` is the number of subjects and `q` is the number of categories
`weights`	optional weighting
`conflev`	confidence level
`N`	used as denominator in finite population correction
`print`	logical; if `TRUE`, prints a summary of the agreement

A typical entry associated with a subject and a category, represents the number of raters who classified the subject into the specified category. Excludes all subjects that are not rated by any rater.

Kilem L. Gwet

Fleiss, J. L. (1981). Statistical Methods for Rates and Proportions. John Wiley & Sons.

raredd/ragree documentation built on March 25, 2021, 1:42 p.m.