kendall_w_ci

0th

Percentile

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

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

Keywords
internal
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).

Aliases
  • kendall_w_ci
Examples
# NOT RUN {
set.seed(123)
library(jmv)
data("bugs", package = "jmv")
ggstatsplot:::kendall_w_ci(dplyr::select(bugs, LDLF:HDHF))
# }
Documentation reproduced from package ggstatsplot, version 0.0.11, License: GPL-3 | file LICENSE

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