meancor: Mean of bivariate correlations between raters
In irr: Various Coefficients of Interrater Reliability and Agreement

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

Computes the mean of bivariate Pearson's product moment correlations between raters as an index of the interrater reliability of quantitative data.

1	meancor(ratings, fisher = TRUE)

`ratings`	n*m matrix or dataframe, n subjects m raters.
`fisher`	a logical indicating whether the correlation coefficients should be Fisher z-standardized before averaging.

Missing data are omitted in a listwise way.
The mean of bivariate correlations should not be used as an index of interrater reliability when the variance of ratings differs between raters.
The null hypothesis r=0 could only be tested when Fisher z-standardized values are used for the averaging.
When computing Fisher z-standardized values, perfect correlations are omitted before averaging because z equals +/-Inf in that case.

A list with class '"irrlist"' containing the following components:

`$method`	a character string describing the method applied for the computation of interrater reliability.
`$subjects`	the number of subjects examined.
`$raters`	the number of raters.
`$irr.name`	a character string specifying the name of the coefficient.
`$value`	coefficient of interrater reliability.
`$stat.name`	a character string specifying the name of the corresponding test statistic.
`$statistic`	the value of the test statistic.
`$p.value`	the p-value for the test.
`$error`	a character string specifying whether correlations were dropped before the computation of the Fisher z-standardized average.

Matthias Gamer

cor

1 2	data(anxiety) meancor(anxiety)

Loading required package: lpSolve
 Mean of bivariate correlations R

 Subjects = 20 
   Raters = 3 
        R = 0.224 

        z = 0.922 
  p-value = 0.357