<p>Pooled within group correlation matrix for baboon data</p>

datasets

Provides two approaches of comparison; the univariate and the multivariate analysis in two or more populations. Since the main obstacle of performing systematic comparisons in anthropological studies is the absence of raw data, the current package offer a solution for this problem by allowing the use of 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

R function

Format

Pooled within group correlation matrix for baboon data — R

Pooled within group correlation matrix for baboon data

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R: Pooled within group correlation matrix for baboon data

Description

Usage

Arguments

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