anova_es

Type of effect size either "f" for f squared,"eta" for eta
squared or "none", Default:"none".

es_anova

Number of significant digits, Default: 4

digits

confidence interval coverage takes value from 0 to 1, Default: 0.95.

internal

Offers a solution for the unavailability of raw data in most anthropological studies by facilitating the calculations of several sexual dimorphism related analyses using the published summary statistics of metric data (mean, standard deviation and sex specific sample size) as illustrated by the works of Greene, D. L. (1989) <doi:10.1002/ajpa.1330790113> and Konigsberg, L. W. (1991) <doi:10.1002/ajpa.1330840110>.

Bassam A. Abulnoor

TestDimorph

Analysis Of The Interpopulation Difference In Degree of Sexual
Dimorphism Using Summary Statistics

MennattAllah H. Attia

Lyle W. Konigsberg

anova_es function

<dl><dt>x</dt>
<dd>ANOVA model</dd>
<dt>es_anova</dt>
<dd>Type of effect size either "f" for f squared,"eta" for eta
squared or "none", Default:"none".</dd>
<dt>digits</dt>
<dd>Number of significant digits, Default: 4</dd>
<dt>CI</dt>
<dd>confidence interval coverage takes value from 0 to 1, Default: 0.95.</dd></dl>

Arguments

anova_es — anova_es

<dl>

<dt>x</dt>
<dd>ANOVA model</dd>


<dt>es_anova</dt>
<dd>Type of effect size either "f" for f squared,"eta" for eta
squared or "none", Default:"none".</dd>


<dt>digits</dt>
<dd>Number of significant digits, Default: 4</dd>


<dt>CI</dt>
<dd>confidence interval coverage takes value from 0 to 1, Default: 0.95.</dd>

</dl>

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anova_es: anova_es

Description

Usage

Arguments