summary.krippendorffsalpha | R Documentation |
Print a summary of a Krippendorff's Alpha fit.
## S3 method for class 'krippendorffsalpha' summary(object, conf.level = 0.95, digits = 4, ...)
object |
an object of class |
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 |
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.
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.
krippendorffs.alpha
# 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")
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