stuart.maxwell.mh {irr} | R Documentation |
Calculates the Stuart-Maxwell coefficient of concordance for two raters.
stuart.maxwell.mh(x)
x |
c x c classification matrix or matrix of classification scores into c categories. |
stuart.maxwell.mh
calculates a reliability coefficient for two raters
classifying n objects into any number of categories. It will accept either
a c x c classification matrix of counts of objects falling into c categories
or a c x n or n x c matrix of classification scores.
A list with class "irrlist" containing the following components:
$method |
a character string describing the method. |
$subjects |
the number of data objects. |
$raters |
the number of raters. |
$irr.name |
the name of the coefficient (Chisq). |
$value |
the value of the coefficient. |
$stat.name |
the name and df of the test statistic. |
$statistic |
the value of the test statistic. |
$p.value |
the probability of the test statistic. |
Jim Lemon
Stuart, A.A. (1955). A test for homogeneity of the marginal distributions in a two-way classification. Biometrika, 42, 412-416.
Maxwell, A.E. (1970) Comparing the classification of subjects by two independent judges. British Journal of Psychiatry, 116, 651-655.
# fake a 2xn matrix of three way classification scores ratings<-matrix(sample(1:3,60,TRUE), nrow=2) stuart.maxwell.mh(ratings) # Example used from Stuart (1955) data(vision) stuart.maxwell.mh(vision)