ci.kendalltau

Computes a Fisher confidence interval for a population Kendal tau-a correlation.
This function is useful for Kendall tau-a correlations less than about .8. (Note:
under bivariate normality, a Kendall tau-a correlation of .8 corresponds to a
Pearson correlation of about .95.) An estimate of the Kendall tau-a correlation
can be obtained from the (see <a href="/link/cor.test?package=statpsych&version=2.0.0" data-mini-rdoc="statpsych::cor.test">cor.test</a> function with method = "kendall".

Implements confidence interval and sample size methods that are especially
useful in psychological research but are also useful in educational, social science,
business, and biological research. This package includes more than 100 confidence
interval functions and more than 80 sample size functions for 1-group, 2-group,
paired-samples, and multiple-group designs and for a variety of parameters including
means, medians, proportions, slopes, standardized mean differences, standardized
linear contrasts of means, and several measures of correlation and association. The
sample size functions can be used to approximate the sample size needed to estimate
a parameter or function of parameters with desired confidence interval precision or
to perform a variety of hypothesis tests (directional two-sided, equivalence,
superiority, noninferiority) with desired power. For details about these methods see:
Statistical Methods for Psychologists, Volumes 1 – 4, <https://dgbonett.sites.ucsc.edu/>.

Douglas G. Bonett

statpsych

Statistical Methods for Psychologists

Robert J. Calin-Jageman

ci.kendalltau function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>cor</dt>
<dd>estimate of Kendall's tau-a correlation</dd>
<dt>n</dt>
<dd>sample size</dd></dl>

Arguments

Computes a Fisher confidence interval for a population Kendal tau-a correlation.
This function is useful for Kendall tau-a correlations less than about .8. (Note:
under bivariate normality, a Kendall tau-a correlation of .8 corresponds to a
Pearson correlation of about .95.) An estimate of the Kendall tau-a correlation
can be obtained from the (see <a href='https://rdrr.io/r/stats/cor.test.html'>cor.test</a> function with method = "kendall".

Confidence interval for a Kendall tau-a correlation — ci.kendalltau

<dl>

<dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>


<dt>cor</dt>
<dd>estimate of Kendall's tau-a correlation</dd>


<dt>n</dt>
<dd>sample size</dd>

</dl>

ci.kendalltau: Confidence interval for a Kendall tau-a correlation

Description

Usage

Value

Arguments

References

Examples