Tidy a(n) kappa object
Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
## S3 method for class 'kappa' tidy(x, ...)
x |
A |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
Note that confidence level (alpha) for the confidence interval
cannot be set in tidy. Instead you must set the alpha argument
to psych::cohen.kappa() when creating the kappa object.
A tibble::tibble() with columns:
conf.high |
Upper bound on the confidence interval for the estimate. |
conf.low |
Lower bound on the confidence interval for the estimate. |
estimate |
The estimated value of the regression term. |
type |
Either 'weighted' or 'unweighted'. |
if (requireNamespace("psych", quietly = TRUE)) {
library(psych)
rater1 <- 1:9
rater2 <- c(1, 3, 1, 6, 1, 5, 5, 6, 7)
ck <- cohen.kappa(cbind(rater1, rater2))
tidy(ck)
# graph the confidence intervals
library(ggplot2)
ggplot(tidy(ck), aes(estimate, type)) +
geom_point() +
geom_errorbarh(aes(xmin = conf.low, xmax = conf.high))
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