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

In drjphughesjr/krippendorffsalpha: Measuring Agreement Using Krippendorff's Alpha Coefficient

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 values of the control parameters (defaults and/or values supplied in the call) are printed. Then a table of estimates is shown. If applicable, the table includes confidence intervals.

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. 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 = "interval", 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")

drjphughesjr/krippendorffsalpha documentation built on April 3, 2022, 5:52 a.m.