| bhapkar {irr} | R Documentation |
Bhapkar coefficient of concordance between raters
Description
Calculates the Bhapkar coefficient of concordance for two raters.
Usage
bhapkar(ratings)
Arguments
ratings |
n*2 matrix or dataframe, n subjects 2 raters. |
Details
Missing data are omitted in a listwise way. The Bhapkar (1966) test is a more powerful alternative to the Stuart-Maxwell test. Both tests are asymptotically equivalent and will produce comparable chi-squared values when applied a large sample of rated objects.
Value
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. |
Author(s)
Matthias Gamer
References
Bhapkar, V.P. (1966). A note on the equivalence of two test criteria for hypotheses in categorical data. Journal of the American Statistical Association, 61, 228-235.
See Also
mcnemar.test,
stuart.maxwell.mh,
rater.bias
Examples
data(vision)
bhapkar(vision) # Original example used from Bhapkar (1966)