weight.mat.fn: Create a weight matrix based raw data and weight set name

In kgwet/pairedCAC: Testing the difference of correlated agreement coefficients for statistical significance

Description

The weight.mat.fn function produces the weight matrix needed to compute weighted agreement coefficients for categorical ratings.

Usage

weight.mat.fn(ratings, weights = "unweighted")

Arguments

ratings	is a mandatory parameter representing the input data frame of raw ratings.
weights	is an optional parameter that defines the weights needed in a weighted analysis. It's default value is “unweighted” which requests the unweighted analysis.

References

Gwet, K. L. (2021). Handbook of Inter-Rater Reliability - Volume 1: Analysis of Categorical Ratings. AgreeStat Analytics.

kgwet/pairedCAC documentation built on Dec. 21, 2021, 6:37 a.m.