distrib.6raters

This dataset summarizes the ratings assigned by 6 psychiatrists classifying 15 patients into one of five categories
named "Depression", "Personal Disorder", "Schizophrenia", "Neurosis" and "Other".

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)

distrib.6raters function

This dataset has 15 rows (for the 15 subjects) and 7 columns. Only the last 6 columns representing the
categories into which subjects are classified are used in the calculations.<dl class="dl-horizontal">
 <dt>Subject</dt><dd>This variable repsents the subject number.</dd>
 <dt>Personality.Disorder</dt><dd>Personality disorder category</dd>
 <dt>Schizophrenia</dt><dd>Schizophrenia Category</dd>
 <dt>Neurosis</dt><dd>Neurosis category</dd>
 <dt>Other</dt><dd>"Other" category</dd>
 </dl>

Format

Distribution of 6 psychiatrists by Subject/patient and diagnosis Category. — distrib.6raters

This dataset has 15 rows (for the 15 subjects) and 7 columns. Only the last 6 columns representing the
categories into which subjects are classified are used in the calculations.<dl class='dl-horizontal'>
 <dt>Subject</dt><dd>This variable repsents the subject number.</dd>
 <dt>Personality.Disorder</dt><dd>Personality disorder category</dd>
 <dt>Schizophrenia</dt><dd>Schizophrenia Category</dd>
 <dt>Neurosis</dt><dd>Neurosis category</dd>
 <dt>Other</dt><dd>"Other" category</dd>
 </dl>

distrib.6raters: Distribution of 6 psychiatrists by Subject/patient and diagnosis Category.

Description

Usage

Arguments

Format