summary.krippendorffsalpha: Print a summary of a Krippendorff's Alpha fit.

Description

Print a summary of a Krippendorff's Alpha fit.

Usage

# S3 method for 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.

Examples

Run this code

# 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")