tidy.kappa {broom} | R Documentation |
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 cross 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:
type |
Either "weighted" or "unweighted" |
estimate |
The estimated value of kappa with this method |
conf.low |
Lower bound of confidence interval |
conf.high |
Upper bound of confidence interval |
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))