ci.cor

Computes a Fisher confidence interval for a population Pearson correlation
or partial correlation with s control variables. Set s = 0 for a Pearson
correlation. A bias adjustment is used to reduce the bias of the Fisher
transformed correlation. This function uses an estimated correlation as
input. Use the cor.test function for raw data input.
For more details, see Section 1.14 of Bonett (2021, Volume 2)

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.cor function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>cor</dt>
<dd>estimated Pearson or partial correlation</dd>
<dt>s</dt>
<dd>number of control variables</dd>
<dt>n</dt>
<dd>sample size</dd></dl>

Arguments

Confidence interval for a Pearson or partial correlation — ci.cor

<dl>

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


<dt>cor</dt>
<dd>estimated Pearson or partial correlation</dd>


<dt>s</dt>
<dd>number of control variables</dd>


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

</dl>

ci.cor: Confidence interval for a Pearson or partial correlation

Description

Usage

Value

Arguments

References

Examples