ci.pairs.mult

Computes adjusted Wald confidence intervals for pairwise proportion
differences of a multinomial variable in a single sample. These adjusted
Wald confidence intervals use the same method that is used to compare the
two proportions in a paired-samples design.

Implements confidence interval and sample size methods that
are especially useful in psychological research. The methods can be
applied in 1-group, 2-group, paired-samples, and multiple-group designs
and to a variety of parameters including means, medians, proportions,
slopes, standardized mean differences, standardized linear contrasts
of means, plus several measures of correlation and association.
Confidence interval and sample size functions are given for single
parameters as well as differences, ratios, and linear contrasts of
parameters. 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 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.pairs.mult function

<dl><dt>alpha</dt>
<dd>alpha level for 1-alpha confidence</dd>
<dt>f</dt>
<dd>vector of multinomial frequency counts</dd></dl>

Arguments

Confidence intervals for pairwise proportion differences of a
multinomial variable — ci.pairs.mult

<dl>

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


<dt>f</dt>
<dd>vector of multinomial frequency counts</dd>

</dl>

ci.pairs.mult: Confidence intervals for pairwise proportion differences of a multinomial variable

Description

Usage

Value

Arguments

References

Examples