ci.diversity

Computes estimates, standard errors, and approximate confidence intervals
for the Berger-Parker, Simpson, and Shannon diversity indices. For the
Shannon index, the value 1/r is added to each frequency count where r is the
number of categories. These indices have a range of 0 to 1 where 0 indicates
no diversity and 1 indicates maximum diversity.
For more details, see Section 1.13 of Bonett (2021, Volume 3)

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.diversity 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 diversity indices — ci.diversity

<dl>

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


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

</dl>

ci.diversity: Confidence intervals for diversity indices

Description

Usage

Value

Arguments

References

Examples