Kappa.Matrix: Matrix of Kappa-type coefficients

In BavoDC/AGREL: Package for calculating agreement/reliability indices

Description

Function to compute a matrix of kappa-type coefficients to assess the reliability of nominal variables (Roberts & McNamee, 1998).

Usage

Kappa.Matrix(df, FleissKappa = F, CI.est = F, N.bt = 1000, parallel = F,
  NrCores = detectCores - 1)

Arguments

df	A dataframe or matrix of N x P with N the number of observations and P the number of raters.
FleissKappa	Logical, indicates if Fleiss' Kappa has to be calculated.
CI.est	Logical, indicates if confidence intervals using bootstrapping have to be calculated.
N.bt	Number of bootstrap samples.
parallel	Logical, indicates if parallel computing has to be used.
NrCores	Number of cores if parallel computing is used. Default is 1 core less than the number of cores present.

Value

A list containing the kappa-matrix and Fleiss' Kappa if asked for.

References

Roberts C., McNamee R. (1998). A matrix of kappa-type coefficients to assess the reliability of nominal scales. Statistics in medicine, Vol.17(4), pp.471-88

Examples

data(PsychMorbid)
Kappa.Matrix(PsychMorbid)

BavoDC/AGREL documentation built on May 6, 2019, 7:22 a.m.