immer_agree2: Agreement Statistics for 2 Raters

In alexanderrobitzsch/immer: Item Response Models for Multiple Ratings

Agreement Statistics for 2 Raters

Description

Some agreement statistics for two raters, including raw agreement, Scott's Pi, Cohen's Kappa, Gwets AC1 and Aickens Alpha (see Gwet, 2010).

Usage

immer_agree2(y, w=rep(1, nrow(y)), symmetrize=FALSE, tol=c(0, 1))

## S3 method for class 'immer_agree2'
summary(object, digits=3,...)

Arguments

y	Data frame with responses for two raters
w	Optional vector of frequency weights
symmetrize	Logical indicating whether contingency table should be symmetrized
tol	Vector of integers indicating tolerance for raw agreement
object	Object of class immer_agree2
digits	Number of digits after decimal for rounding
...	Further arguments to be passed

Value

List with entries

agree_raw	Raw agreement
agree_stats	Agreement statistics
agree_table	Contingency table
marg	Marginal frequencies
Pe	Expected chance agreement probabilities
PH	Probabilities for hard-to-classify subjects according to Aicken
nobs	Number of observations

References

Gwet, K. L. (2010). Handbook of inter-rater reliability. Gaithersburg: Advanced Analytics.

See Also

For more inter-rater agreement statistics see the R packages agRee, Agreement, agrmt, irr, obs.agree, rel.

Examples

#############################################################################
# EXAMPLE 1: Dataset in Schuster & Smith (2006)
#############################################################################

data(data.immer08)
dat <- data.immer08

y <- dat[,1:2]
w <- dat[,3]
# agreement statistics
res <- immer::immer_agree2( y=y, w=w )
summary(res)
# extract some output values
res$agree_stats
res$agree_raw

alexanderrobitzsch/immer documentation built on March 27, 2024, 5:48 a.m.