ci.tukey

Computes heteroscedastic Tukey-Kramer (also known as Games-Howell)
confidence intervals for all pairwise comparisons of population means
using estimated means, estimated standard deviations, and samples sizes as
input. A Satterthwaite adjustment to the degrees of freedom is used to
improve the accuracy of the confidence intervals.

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.tukey function

<dl><dt>alpha</dt>
<dd>alpha level for simultaneous 1-alpha confidence</dd>
<dt>m</dt>
<dd>vector of estimated group means</dd>
<dt>sd</dt>
<dd>vector of estimated group standard deviations</dd>
<dt>n</dt>
<dd>vector of sample sizes</dd></dl>

Arguments

Tukey-Kramer confidence intervals for all pairwise mean differences in a
between-subjects design — ci.tukey

<dl>

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


<dt>m</dt>
<dd>vector of estimated group means</dd>


<dt>sd</dt>
<dd>vector of estimated group standard deviations</dd>


<dt>n</dt>
<dd>vector of sample sizes</dd>

</dl>

ci.tukey: Tukey-Kramer confidence intervals for all pairwise mean differences in a between-subjects design

Description

Usage

Value

Arguments

References

Examples