bangdiwala.table: Bangdiwala B coefficient for 2 raters

In kgwet/irrCAC: Computing the Extent of Agreement among Raters with Chance-Corrected Agreement Coefficient (CAC)

Bangdiwala B coefficient for 2 raters

Description

Bangdiwala B coefficient for 2 raters

Usage

bangdiwala.table(ratings, conflev = 0.95, N = Inf)

Arguments

ratings	A square table of ratings (assume no missing ratings).
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.
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.

Value

A data frame containing the following 5 variables: coeff.name coeff.val coeff.se coeff.ci coeff.pval.

Examples

#The dataset "cont3x3abstractors" comes with this package. Analyze it as follows:
bangdiwala.fn(cont3x3abstractors) #Yields Scott's Pi coefficient along with precision measures
Bcoeff <- bangdiwala.fn(cont3x3abstractors)$coeff.val #Yields Scott's coefficient alone.
Bcoeff
q <- nrow(cont3x3abstractors) #Number of categories

kgwet/irrCAC documentation built on Feb. 12, 2024, 11:48 p.m.