Description Usage Arguments Value Examples
Gwet's AC1/AC2 coefficient for 2 raters
1 2 | gwet.ac1.table(ratings, weights = identity.weights(1:ncol(ratings)),
conflev = 0.95, N = Inf)
|
ratings |
A square table of ratings (assume no missing ratings). |
weights |
An optional matrix that contains the weights used in the weighted analysis. By default, this parameter contaings the identity weight matrix, which leads to the unweighted analysis. |
conflev |
An optional parameter that specifies the confidence level used for constructing confidence intervals. By default the function assumes the standard value of 95%. |
N |
An optional parameter representing the finite population size if any. It is used to perform the finite population correction to the standard error. It's default value is infinity. |
A data frame containing the following 5 variables: coeff.name coeff.val coeff.se coeff.ci coeff.pval.
1 2 3 4 5 6 | #The dataset "cont3x3abstractors" comes with this package. Analyze it as follows:
gwet.ac1.table(cont3x3abstractors) #Yields AC1 along with precision measures
ac1 <- gwet.ac1.table(cont3x3abstractors)$coeff.val #Yields AC1 coefficient alone.
ac1
q <- nrow(cont3x3abstractors) #Number of categories
gwet.ac1.table(cont3x3abstractors,weights = quadratic.weights(1:q)) #AC2 with quadratic weights
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