anova_main_I

A data frame containing summary statistics.

Number of significant digits, Default: 4

digits

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

Logical; if TRUE probabilities are `P[X &lt;= x]`,
otherwise, `P[X &gt; x]`., Default: FALSE

lower.tail

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_main_I function

<dl><dt>x</dt>
<dd>A data frame containing summary statistics.</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>
<dt>lower.tail</dt>
<dd>Logical; if TRUE probabilities are `P[X &lt;= x]`,
otherwise, `P[X &gt; x]`., Default: FALSE</dd></dl>

Arguments

ANOVA type I for main effects — anova_main_I

<dl>

<dt>x</dt>
<dd>A data frame containing summary statistics.</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>


<dt>lower.tail</dt>
<dd>Logical; if TRUE probabilities are `P[X &lt;= x]`,
otherwise, `P[X &gt; x]`., Default: FALSE</dd>

</dl>

anova_main_I: ANOVA type I for main effects

Description

Usage

Arguments