Computing the Extent of Agreement among Raters with Chance-Corrected Agreement Coefficient (CAC)

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Documentation for package ‘irrCAC’ version 1.4

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agree.cac3rd Dataset showing the distribution of 6 raters by psychiatric condition
agree.contingency Dataset representing a 10x10 contingency table
agreeCAC Ratings of 15 subjects from 4 raters
altman Dataset describing the Altman's Benchmarking Scale
altman.bf Computing Altman's Benchmark Scale Membership Probabilities
bangdiwala.table Bangdiwala B coefficient for 2 raters
bangdiwala2RR.fn Bangdiwala B coefficient for 2 raters when input dataset is made up of 2 columns of raw data.
bipolar.weights Function for computing the Bipolar Weights
bp.coeff.dist Brennan-Prediger's agreement coefficient among multiple raters (2, 3, +) when the input dataset is the distribution of raters by subject and category.
bp.coeff.raw Brennan & Prediger's (BP) agreement coefficient for an arbitrary number of raters (2, 3, +) when the input data represent the raw ratings reported for each subject and each rater.
bp2.table Brenann-Prediger coefficient for 2 raters
cac.ben.gerry Ratings of 12 units from 2 raters named Ben and Gerry
cac.dist.g1g2 Distribution of 4 raters by subject and by category, for 14 Subjects that belong to 2 groups "G1" and "G2"
cac.dist4cat Distribution of 4 raters by Category and Subject - Subjects allocated in 2 groups A and B.
cac.raw.g1g2 Dataset of raw ratings from 4 Raters on 14 Subjects that belong to 2 groups named "G1" and "G2"
cac.raw.gender Rating Data from 4 Raters and 15 human Subjects, 9 of whom are female and 6 males.
cac.raw2raters Dataset of raw ratings by 2 raters and 12 subjects.
cac.raw4raters Rating Data from 4 Raters and 12 Subjects.
cac.raw5obser Scores assigned by 5 observers to 20 experimental units.
circular.weights Function for computing the Circular Weights
conger.kappa.raw Conger's generalized kappa coefficient for an arbitrary number of raters (2, 3, +) when the input data represent the raw ratings reported for each subject and each rater.
cont3x3abstractors Distribution of 100 pregnant women by pregnancy type and by abstractor.
cont4x4diagnosis Distribution of 223 Psychiatric Patients by Type of of Psychiatric Disorder and Diagnosis Method.
distrib.6raters Distribution of 6 psychiatrists by Subject/patient and diagnosis Category.
fleiss Dataset describing Fleiss' Benchmarking Scale
fleiss.bf Computing Fleiss Benchmark Scale Membership Probabilities
fleiss.kappa.dist Fleiss' agreement coefficient among multiple raters (2, 3, +) when the input dataset is the distribution of raters by subject and category.
fleiss.kappa.raw Fleiss' generalized kappa among multiple raters (2, 3, +) when the input data represent the raw ratings reported for each subject and each rater.
freq.supp.fn freq.supp.fn: This function reads a 3-variable input data file containing unique pairs of categories along with their frequency of occurrences, and outputs a similar file where all possible pairs of categories are represented, some with a frequency of occurrence of 0.
freqs.data Distribution of 10 subjects by rater (Ben and Gerry) and by category.
gwet.ac1.dist Gwet's AC1/AC2 agreement coefficient among multiple raters (2, 3, +) when the input dataset is the distribution of raters by subject and category.
gwet.ac1.raw Gwet's AC1/AC2 agreement coefficient among multiple raters (2, 3, +) when the input data represent the raw ratings reported for each subject and each rater.
gwet.ac1.table Gwet's AC1/AC2 coefficient for 2 raters
identity.weights Function for computing the Identity Weights
kappa2.table Kappa coefficient for 2 raters
krippen.alpha.dist Krippendorff's agreement coefficient among multiple raters (2, 3, +) when the input dataset is the distribution of raters by subject and category.
krippen.alpha.raw Krippendorff's alpha coefficient for an arbitrary number of raters (2, 3, +) when the input data represent the raw ratings reported for each subject and each rater.
krippen2.table Krippendorff's Alpha coefficient for 2 raters
landis.koch Dataset describing the Landis & Koch Benchmarking Scale
landis.koch.bf Computing Landis-Koch Benchmark Scale Membership Probabilities
linear.weights Function for computing the Linear Weights
long2wide.fn long2wide.fn: This function transforms a 3-column dataset of frequencies to a square matrix or a contingency table. This function uses the freq.supp.fn() function.
ordinal.weights Function for computing the Ordinal Weights
pa.coeff.dist Percent agreement coefficient among multiple raters (2, 3, +) when the input dataset is the distribution of raters by subject and category.
pa.coeff.raw Percent agreement among multiple raters (2, 3, +) when the input data represent the raw ratings reported for each subject and each rater.
pa2.table Percent Agreement coefficient for 2 raters
quadratic.weights Function for computing the Quadratic Weights
radical.weights Function for computing the Radical Weights
ratio.weights Function for computing the Ratio Weights
scott2.table Scott's coefficient for 2 raters
trim An r function for trimming leading and trealing blanks
x.dist10x5 Dataset of categorical ratings assigned to 10 subjects and presented in the form of a distribution of 4 raters by subject and category
x.dist6x5psy Dataset showing how 6 psychiatrists classified 15 patients by their mental health condition.
x.raw10x4 Raw categorical ratings assigned to 10 subjects by 4 raters
x.raw12x4 This dataset contains raw categorical ratings that 4 raters assigned to 12 subjects.