cac.ben.gerry

This dataset contains ratings that 2 raters named Ben and Gerry assigned to 12 units distributed in 2 groups 
"G1" and "G2".

datasets

Calculates various chance-corrected agreement coefficients (CAC) among 2 or more raters are provided.
Among the CAC coefficients covered are Cohen's kappa, Conger's kappa, Fleiss' kappa, Brennan-Prediger coefficient, Gwet's AC1/AC2
coefficients, and Krippendorff's alpha. Multiple sets of weights are proposed for computing weighted analyses. All of these statistical
procedures are described in details in Gwet, K.L. (2014,ISBN:978-0970806284): "Handbook of Inter-Rater Reliability," 4th edition,
Advanced Analytics, LLC.

Kilem Gwet

irrCAC

Computing Chance-Corrected Agreement Coefficients (CAC)

cac.ben.gerry function

Each row of this dataset describes an interval and the interpretation of the magnitude it represents.<dl class="dl-horizontal">
 <dt>Group</dt><dd>Group Name</dd>
 <dt>Units</dt><dd>Unit number</dd>
 <dt>Ben</dt><dd>Ben's Ratings</dd>
 <dt>Gerry</dt><dd>Gerry's Ratings</dd>
 </dl>The first 2 columns "Group" and "Units" play a descriptive role here and are not used by any fucntion included in this
package. One will typically use cac.ben.gerry[,c(3,4)] or cac.ben.gerry[,c("Ben","Gerry")] as input 
dataset.

Format

Ratings of 12 units from 2 raters named Ben and Gerry — cac.ben.gerry

Each row of this dataset describes an interval and the interpretation of the magnitude it represents.<dl class='dl-horizontal'>
 <dt>Group</dt><dd>Group Name</dd>
 <dt>Units</dt><dd>Unit number</dd>
 <dt>Ben</dt><dd>Ben's Ratings</dd>
 <dt>Gerry</dt><dd>Gerry's Ratings</dd>
 </dl>The first 2 columns "Group" and "Units" play a descriptive role here and are not used by any fucntion included in this
package. One will typically use cac.ben.gerry[,c(3,4)] or cac.ben.gerry[,c("Ben","Gerry")] as input 
dataset.

cac.ben.gerry: Ratings of 12 units from 2 raters named Ben and Gerry

Description

Usage

Arguments

Format