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

Calculates a coefficient of systematic bias between two raters.

1 | ```
rater.bias(x)
``` |

`x` |
c x c classification matrix or 2 x n or n x 2 matrix of classification scores into c categories. |

`rater.bias`

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 2 x n or n x 2 matrix of classification scores.

The function returns the absolute value of the triangular off-diagnonal
sum ratio of the cxc classification table and the corresponding test statistic.
A systematic bias between raters can be assumed when the ratio substantially
deviates from 0.5 while yielding a significant Chi-squared statistic.

`method` |
Name of the method |

`subjects` |
Number of subjects |

`raters` |
Number of raters (2) |

`irr.name` |
Name of the coefficient: ratio of triangular off-diagnonal sums |

`value` |
Value of the coefficient |

`stat.name` |
Name of the test statistic |

`statistic` |
Value of the test statistic |

`p.value` |
the probability of the df 1 Chi-square variable |

Jim Lemon

Bishop Y.M.M., Fienberg S.E., & Holland P.W. (1978). Discrete multivariate analysis: theory and practice. Cambridge, Massachusetts: MIT Press.

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)
rater.bias(ratings)
# Example from Bishop, Fienberg & Holland (1978), Table 8.2-1
data(vision)
rater.bias(vision)
``` |

```
Loading required package: lpSolve
Rater bias coefficient
Subjects = 30
Raters = 2
Ratio = 0.556
Chisq(1) = 0.222
p-value = 0.637
Rater bias coefficient
Subjects = 7477
Raters = 2
Ratio = 0.537
Chisq(1) = 11.9
p-value = 0.000566
```

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