summary.krippendorffsalpha {krippendorffsalpha}

Print a summary of a Krippendorff's Alpha fit.

Description

Print a summary of a Krippendorff's Alpha fit.

Usage

## S3 method for class 'krippendorffsalpha'
summary(object, conf.level = 0.95, digits = 4, ...)

Arguments

object

an object of class "krippendorffsalpha", the result of a call to krippendorffs.alpha.

conf.level

the confidence level for the confidence intervals. The default is 0.95.

digits

the number of significant digits to display. The default is 4.

...

additional arguments. These are passed to quantile.

Details

This function prints a summary of the fit. First the data geometry is described, then the call signature is printed, then the values of the control parameters (defaults and/or values supplied in the call) are printed. Finally, a table of estimates is shown. If applicable, the table includes confidence limits.

References

Nissi, M. J., Mortazavi, S., Hughes, J., Morgan, P., and Ellermann, J. (2015). T2* relaxation time of acetabular and femoral cartilage with and without intra-articular Gd-DTPA2 in patients with femoroacetabular impingement. American Journal of Roentgenology, 204(6), W695.

See Also

krippendorffs.alpha

Examples

# Fit a subset of the cartilage data, using the customary methodology.
# Compute bootstrap confidence intervals using a bootstrap sample size
# of 1,000. Display a summary of the results, including a 99% confidence
# interval. Also plot the results.

data(cartilage)
cartilage = as.matrix(cartilage[1:100, ])
fit.cart = krippendorffs.alpha(cartilage, level = "ratio", method = "customary", confint = TRUE,
                               control = list(bootit = 1000, parallel = FALSE))
summary(fit.cart, conf.level = 0.99)
dev.new()
plot(fit.cart, xlim = c(0.7, 0.9), xlab = "Bootstrap Estimates",
     main = "Results for Cartilage Data")