kappam_gold | R Documentation |
First, Cohen's kappa is calculated between each rater against the gold
standard which is taken from the 1st column by default. The average of these
kappas is returned as 'kappam_gold0'. The variant setting (robust=
) is
forwarded to Cohen's kappa. A bias-corrected version 'kappam_gold' and a
corresponding confidence interval are provided as well via the jackknife
method.
kappam_gold(
ratings,
refIdx = 1,
robust = FALSE,
ratingScale = NULL,
conf.level = 0.95
)
ratings |
matrix. subjects by raters |
refIdx |
numeric. index of reference gold-standard raters. Currently, only a single gold-standard rater is supported. By default, it is the 1st rater. |
robust |
flag. Use robust estimate for random chance of agreement by Brennan-Prediger? |
ratingScale |
Possible levels for the rating. Or |
conf.level |
confidence level for confidence interval |
list. agreement measures (raw and bias-corrected) kappa with
confidence interval. Entry raters
refers to the number of tested raters,
not counting the reference rater
# matrix with subjects in rows and raters in columns.
# 1st column is taken as gold-standard
m <- matrix(c("O", "G", "O",
"G", "G", "R",
"R", "R", "R",
"G", "G", "O"), ncol = 3, byrow = TRUE)
kappam_gold(m)
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