Example data set from Shaw and Mitchell-Olds (1993)

datasets

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 Relethford, J. H., & Hodges, D. C. (1985) <doi:10.1002/ajpa.1330660105>, 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

Iain R. Konigsberg

Lyle W. Konigsberg

SMO function

A data frame with 11 rows and 3 variables:<dl>
<dt>Sex</dt>
<dd>'M' for male and 'F' for female</dd><dt>Pop</dt>
<dd>Populations' names</dd><dt>x</dt>
<dd>Dependent variable</dd> 
</dl>

Format

Hypothetical set of unbalanced data — SMO

A data frame with 11 rows and 3 variables:<dl>
<dt>Sex</dt>
<dd>'M' for male and 'F' for female</dd>

<dt>Pop</dt>
<dd>Populations' names</dd>

<dt>x</dt>
<dd>Dependent variable</dd>

 
</dl>

SMO: Hypothetical set of unbalanced data

Description

Usage

Arguments

Format

References