plot.krippendorffsalpha: Plot the results of a Krippendorff's Alpha analysis.

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

Plot the results of a Krippendorff's Alpha analysis.

Description

Plot the results of a Krippendorff's Alpha analysis.

Usage

## S3 method for class 'krippendorffsalpha'
plot(
  x,
  y = NULL,
  level = 0.95,
  type = 7,
  density = TRUE,
  lty.density = 1,
  lty.estimate = 1,
  lty.interval = 2,
  col.density = "black",
  col.estimate = "orange",
  col.interval = "blue",
  lwd.density = 3,
  lwd.estimate = 3,
  lwd.interval = 3,
  ...
)

Arguments

x	an object of class "krippendorffsalpha", the result of a call to krippendorffs.alpha.
y	always ignored.
level	the desired confidence level for the interval. The default is 0.95.
type	the method used to compute sample quantiles. This argument is passed to quantile. The default is 7.
density	logical; if TRUE, a kernel density estimate is plotted.
lty.density	the line type for the kernel density estimate. The default is 1.
lty.estimate	the line type for the estimate of alpha. The default is 1.
lty.interval	the line type for the confidence limits. The default is 2.
col.density	the color for the kernel density estimate. The default is black.
col.estimate	the color for the estimate of alpha. The default is orange.
col.interval	the color for the confidence limits. The default is blue.
lwd.density	the line width for the kernel density estimate. The default is 3.
lwd.estimate	the line width for the estimate of alpha. The default is 3.
lwd.interval	the line width for the confidence limits. The default is 3.
...	additional arguments. These are passed to hist.

Details

This function plots the results of a Krippendorff's Alpha analysis, assuming that krippendorffs.alpha was called with confint = TRUE.

References

Krippendorff, K. (2013). Computing Krippendorff's alpha-reliability. Technical report, University of Pennsylvania.

Examples

# The following data were presented in Krippendorff (2013).

nominal = matrix(c(1,2,3,3,2,1,4,1,2,NA,NA,NA,
                   1,2,3,3,2,2,4,1,2,5,NA,3,
                   NA,3,3,3,2,3,4,2,2,5,1,NA,
                   1,2,3,3,2,4,4,1,2,5,1,NA), 12, 4)
fit.nom = krippendorffs.alpha(nominal, level = "nominal", confint = TRUE, verbose = TRUE,
                              control = list(bootit = 1000, parallel = FALSE))
dev.new()
plot(fit.nom, main = "Results for Nominal Data", xlab = "Bootstrap Estimates", density = FALSE)

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