ggstatsplot (version 0.0.11)

kendall_w_ci: Computing confidence intervals for the Kendall's coefficient of concordance (aka Kendall's W).

Description

Computing confidence intervals for the Kendall's coefficient of concordance (aka Kendall's W).

Usage

kendall_w_ci(data, nboot = 100, conf.type = "norm",
  conf.level = 0.95, ...)

Arguments

data

Data in wide format with only numeric columns corresponding to raters' ratings.

nboot

Number of bootstrap samples for computing confidence interval for the effect size (Default: 100).

conf.type

A vector of character strings representing the type of intervals required. The value should be any subset of the values "norm", "basic", "perc", "bca". For more, see ?boot::boot.ci.

conf.level

Scalar between 0 and 1. If unspecified, the defaults return 95% lower and upper confidence intervals (0.95).

...

Additional arguments (currently ignored).

Examples

# NOT RUN {
set.seed(123)
library(jmv)
data("bugs", package = "jmv")
ggstatsplot:::kendall_w_ci(dplyr::select(bugs, LDLF:HDHF))
# }