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Bootstrapped confidence interval for kappa statistic.

kappaBootCI.Rd

Function to compute cohen's kappa with binary data with a bootstrap confidence interval

Usage

kappaBootCI(
  x,
  y,
  seed = 20,
  num.boot = 1000,
  conf.level = 0.95,
  method = c("cohen", "weighted", "fleiss", "krippendorff"),
  type = "nominal"
)

Arguments

x

vector of binary scores from first rater

y

vector of binary scores from second rater

seed

random seed for bootstrapping

num.boot

number of times to bootstrap. Defaults to 1000.

conf.level

confidence level. Defaults to 95%.

method

statistic to calculate bootstrap estimate

type

method setting for method = "krippendorff"

Value

bootstraped confidence interval for Cohen's kappa.

Details

Cohen's kappa measures the amount of agreement between 2 raters of a binary variable. The bootstrap confidence interval is adjusted (BCa).

Author

Aline Talhouk, Derek Chiu

Examples

a <- rbinom(n = 100, size = 1, prob = 0.3)
b <- rbinom(n = 100, size = 1, prob = 0.7)
kappaBootCI(a, b)
#>    PointEst        2.5%       97.5% 
#> -0.10028860 -0.29028462  0.04657793 

## Use a different seed
kappaBootCI(a, b, 5)
#>    PointEst        2.5%       97.5% 
#> -0.10028860 -0.28590863  0.04580153