Computes two agreement rates: Cohen's kappa and weighted kappa, and confidence bands.
Kappa(x, weights = c("Equal-Spacing", "Fleiss-Cohen"))
# S3 method for Kappa
print(x, digits=max(getOption("digits") - 3, 3),
CI=FALSE, level=0.95, ...)
# S3 method for Kappa
confint(object, parm, level = 0.95, ...)
# S3 method for Kappa
summary(object, ...)
# S3 method for summary.Kappa
print(x, ...)
An object of class "Kappa"
with three components:
numeric vector of length 2 with the kappa statistic
(value
component), along with Approximate Standard Error
(ASE
component)
idem for the weighted kappa.
numeric matrix with weights used.
For Kappa
: a confusion matrix. For the print methods:
object of class "Kappa"
or "summary.Kappa"
either one of the character strings given in the
default value, or a user-specified matrix with same dimensions as
x
.
minimal number of significant digits.
logical; shall confidence limits be added to the output?
confidence level between 0 and 1 used for the confidence interval.
object of class "Kappa"
.
Currently, ignored.
Further arguments passed to the default print method.
David Meyer David.Meyer@R-project.org
Cohen's kappa is the diagonal sum of the (possibly weighted) relative frequencies, corrected for expected values and standardized by its maximum value. The equal-spacing weights are defined by \(1 - |i - j| / (r - 1)\), \(r\) number of columns/rows, and the Fleiss-Cohen weights by \(1 - |i - j|^2 / (r - 1)^2\). The latter one attaches greater importance to near disagreements.
Cohen, J. (1960), A coefficient of agreement for nominal scales. Educational and Psychological Measurement, 20, 37--46.
Everitt, B.S. (1968), Moments of statistics kappa and weighted kappa. The British Journal of Mathematical and Statistical Psychology, 21, 97--103.
Fleiss, J.L., Cohen, J., and Everitt, B.S. (1969), Large sample standard errors of kappa and weighted kappa. Psychological Bulletin, 72, 332--327.
agreementplot
,
confint
data("SexualFun")
K <- Kappa(SexualFun)
K
confint(K)
summary(K)
print(K, CI = TRUE)
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