Description Usage Arguments Details Value Author(s) References See Also Examples

Calculates the Stuart-Maxwell coefficient of concordance for two raters.

1 |

`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.

1 2 3 4 5 6 7 | ```
# 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)
``` |

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