plot.krippendorffsalpha {krippendorffsalpha}

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 method = "customary" and confint = TRUE. Otherwise there is no bootstrap sample to work with. The plot is highly customizable.

This function plots a histogram of the bootstrap sample, (optionally) a kernel density estimate, and vertical lines marking the lower and upper confidence limits.

References

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

See Also

krippendorffs.alpha

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", method = "customary", 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)