univariate_pairwise

A data frame containing summary statistics.

Method of p.value adjustment for multiple comparisons
following <a rd-options="stats" href="/link/p.adjust?package=TestDimorph&version=0.4.1&to=stats" data-mini-rdoc="stats::p.adjust">p.adjust</a> Default: "none".

padjust

Number of significant digits, Default: 4

digits

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

lower.tail

Arguments passed on to <code><a rd-options="=multivariate" href="/link/multivariate?package=TestDimorph&version=0.4.1&to=%3Dmultivariate" data-mini-rdoc="=multivariate::multivariate">multivariate</a></code><dl class="dl-horizontal">
 <dt><code>R.res</code></dt><dd>Pooled within correlational matrix, Default: NULL</dd>
 <dt><code>Trait</code></dt><dd>Number of the column containing names of measured parameters,
Default: 1</dd>
 <dt><code>Pop</code></dt><dd>Number of the column containing populations' names, Default: 2</dd>
 <dt><code>type_manova</code></dt><dd>type of MANOVA test "I","II" or "III", Default:"II".</dd>
 <dt><code>manova_test_statistic</code></dt><dd>type of test statistic used either "W" for "Wilks","P"
for "Pillai", "HL" for "Hotelling-Lawley" or "R" for "Roy's largest root",
Default: "W".</dd>
 <dt><code>interact_manova</code></dt><dd>Logical; if TRUE calculates MANOVA for the interaction
effects,Default: TRUE.</dd>
 <dt><code>es_manova</code></dt><dd>effect size either ,"eta" for eta squared, or "none"for
not reporting an effect size, Default:"none".</dd>
 <dt><code>univariate</code></dt><dd>Logical; if TRUE conducts multiple univariate analyses on
different parameters separately, Default: FALSE</dd>
 <dt><code>CI</code></dt><dd>confidence interval coverage takes value from 0 to 1, Default: 0.95.</dd>
 </dl>

post hoc univariate analysis to MANOVA

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

univariate_pairwise function

<dl><dt>x</dt>
<dd>A data frame containing summary statistics.</dd>
<dt>out</dt>
<dd>output of multivariate function</dd>
<dt>padjust</dt>
<dd>Method of p.value adjustment for multiple comparisons
following <a href="/link/p.adjust?package=TestDimorph&version=0.4.1" data-mini-rdoc="TestDimorph::p.adjust">p.adjust</a> Default: "none".</dd>
<dt>digits</dt>
<dd>Number of significant digits, Default: 4</dd>
<dt>lower.tail</dt>
<dd>Logical; if TRUE probabilities are `P[X &lt;= x]`,
otherwise, `P[X &gt; x]`., Default: FALSE</dd>
<dt>...</dt>
<dd>Arguments passed on to <code>multivariate</code><dl>
 <dt><code>R.res</code></dt>
<dd>Pooled within correlational matrix, Default: NULL</dd></dl></dd> <dt><code>Trait</code></dt>
<dd>Number of the column containing names of measured parameters,
Default: 1</dd> <dt><code>Pop</code></dt>
<dd>Number of the column containing populations' names, Default: 2</dd> <dt><code>type_manova</code></dt>
<dd>type of MANOVA test "I","II" or "III", Default:"II".</dd> <dt><code>manova_test_statistic</code></dt>
<dd>type of test statistic used either "W" for "Wilks","P"
for "Pillai", "HL" for "Hotelling-Lawley" or "R" for "Roy's largest root",
Default: "W".</dd> <dt><code>interact_manova</code></dt>
<dd>Logical; if TRUE calculates MANOVA for the interaction
effects,Default: TRUE.</dd> <dt><code>es_manova</code></dt>
<dd>effect size either ,"eta" for eta squared, or "none"for
not reporting an effect size, Default:"none".</dd> <dt><code>univariate</code></dt>
<dd>Logical; if TRUE conducts multiple univariate analyses on
different parameters separately, Default: FALSE</dd> <dt><code>CI</code></dt>
<dd>confidence interval coverage takes value from 0 to 1, Default: 0.95.</dd> 
</dl>

Arguments

post hoc univariate analysis to MANOVA — univariate_pairwise

<dl>

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


<dt>out</dt>
<dd>output of multivariate function</dd>


<dt>padjust</dt>
<dd>Method of p.value adjustment for multiple comparisons
following <a href='https://rdrr.io/r/stats/p.adjust.html'>p.adjust</a> Default: "none".</dd>


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


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


<dt>...</dt>
<dd>Arguments passed on to <code>multivariate</code><dl>
 <dt><code>R.res</code></dt>
<dd>Pooled within correlational matrix, Default: NULL</dd>

 <dt><code>Trait</code></dt>
<dd>Number of the column containing names of measured parameters,
Default: 1</dd>

 <dt><code>Pop</code></dt>
<dd>Number of the column containing populations' names, Default: 2</dd>

 <dt><code>type_manova</code></dt>
<dd>type of MANOVA test "I","II" or "III", Default:"II".</dd>

 <dt><code>manova_test_statistic</code></dt>
<dd>type of test statistic used either "W" for "Wilks","P"
for "Pillai", "HL" for "Hotelling-Lawley" or "R" for "Roy's largest root",
Default: "W".</dd>

 <dt><code>interact_manova</code></dt>
<dd>Logical; if TRUE calculates MANOVA for the interaction
effects,Default: TRUE.</dd>

 <dt><code>es_manova</code></dt>
<dd>effect size either ,"eta" for eta squared, or "none"for
not reporting an effect size, Default:"none".</dd>

 <dt><code>univariate</code></dt>
<dd>Logical; if TRUE conducts multiple univariate analyses on
different parameters separately, Default: FALSE</dd>

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

 
</dl></dd>

</dl>

univariate_pairwise: post hoc univariate analysis to MANOVA

Description

Usage

Arguments