ragree: Rater agreement

Description Usage Arguments Details Author(s) References

Computes Gwet's AC1/AC2 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	gwet.ac1.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

Gwet, K. L. (2008). "Computing inter-rater reliability and its variance in the presence of high agreement." British Journal of Mathematical and Statistical Psychology, 61, 29 - 48.

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