intrinsicKappa {intrinsicKappa} | R Documentation |
Intrinsic Kappa
Description
Intrinsic Kappa
Usage
intrinsicKappa(M, alpha = 0.05, alpha_adjusted = TRUE)
Arguments
M |
matrix to be assessed |
alpha |
one-sided significance level |
alpha_adjusted |
logical, whether the significance level shall be adjusted |
Details
Computation of intrinsic kappa with a dichotomous response and known relation of the input frequencies.
Value
Intrinsic kappa value
References
R. Sanchez-Marquez, F. Gerhorst and D. Schindler (2023) "Effectiveness of quality inspections of attributive characteristics – A novel and practical method for estimating the “intrinsic” value of kappa based on alpha and beta statistics." Computers & Industrial Engineering, 109006.
Examples
M <- matrix(c(2375, 25, 10, 2390), ncol = 2)
rownames(M) <- c('ok-rating', 'nok-rating')
colnames(M) <- c('ok-standard', 'nok-standard')
alpha <- 0.05
alpha_adjusted <- FALSE
intrinsicKappa(M, alpha, alpha_adjusted)
[Package intrinsicKappa version 0.1 Index]