prec_kappa {presize} | R Documentation |
Sample size or precision for Cohen's kappa
Description
prec_kappa
returns the sample size or the precision for the provided Cohen's kappa coefficient.
Usage
prec_kappa(
kappa,
n = NULL,
raters = 2,
n_category = 2,
props,
conf.width = NULL,
conf.level = 0.95
)
Arguments
kappa |
expected value of Cohen's kappa. |
n |
sample size. |
raters |
number of raters (maximum of 6). |
n_category |
number of categories of outcomes (maximum of 5). |
props |
expected proportions of each outcome (should have length
|
conf.width |
precision (the full width of the confidence interval). |
conf.level |
confidence level. |
Details
This function wraps the FixedN
and CI
functions in the
kappaSize
package.
The FixedN
functions in kappaSize
return a one sided confidence
interval. The values that are passed to kappaSize
ensure that two-sided
confidence intervals are returned, although we assume that confidence intervals
are symmetrical.
Value
Object of class "presize", a list of arguments (including the computed one) augmented with method and note elements.
See Also
FixedNBinary
,
FixedN3Cats
,
CIBinary
,
CI3Cats
Examples
# precision based on sample size
# two categories with proportions of 30 and 70\%, four raters
prec_kappa(kappa = .5, n = 200, raters = 4, n_category = 2, props = c(.3,.7))
# sample size to get a given precision
prec_kappa(kappa = .5, conf.width = .15, raters = 4, n_category = 2,
props = c(.3,.7))
# as above, but with two scenarios for kappa
prec_kappa(kappa = c(.5, .75), conf.width = .15, raters = 4, n_category = 2,
props = c(.3,.7))
prec_kappa(kappa = c(.5, .75), conf.width = c(.15, 0.3), raters = 4,
n_category = 2, props = c(.3,.7))