influence.krippendorffsalpha {krippendorffsalpha}

Compute DFBETAs for units and/or coders.

Description

Compute DFBETAs for units and/or coders.

Usage

## S3 method for class 'krippendorffsalpha'
influence(model, units, coders, ...)

Arguments

model

a fitted model object, the result of a call to krippendorffs.alpha.

units

a vector of integers. A DFBETA will be computed for each of the corresponding units.

coders

a vector of integers. A DFBETA will be computed for each of the corresponding coders.

...

additional arguments. These are ignored.

Details

This function computes DFBETAs for one or more units and/or one or more coders.

Value

A list comprising at most two elements.

dfbeta.units

a vector containing DFBETAs for the units specified via argument units.

dfbeta.coders

a vector containing DFBETAs for the coders specified via argument coders.

References

Young, D. S. (2017). Handbook of Regression Methods. CRC Press.

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

Examples

# The following data were presented in Krippendorff (2013). This example
# applies Hughes' methodology to the data (method = "analytical", the default).
# DFBETAS are computed by leaving out unit 6, unit 11, coder 2, and coder 3.

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 = FALSE)
summary(fit.nom)
(inf = influence(fit.nom, units = c(6, 11), coders = c(2, 3)))