Calculates the standard effect size from observed and estimated values.

Includes algorithms to assess alpha and beta diversity
in all their dimensions (taxonomic, phylogenetic and functional).
It allows performing a number of analyses based on species
identities/abundances, phylogenetic/functional distances, trees,
convex-hulls or kernel density n-dimensional hypervolumes
depicting species relationships.
Cardoso et al. (2015) <doi:10.1111/2041-210X.12310>.

Pedro Cardoso

Biodiversity Assessment Tools

Stefano Mammola

Francois Rigal

Jose Carvalho

ses function

<dl><dt>obs</dt>
<dd>A single observed value.</dd>
<dt>est</dt>
<dd>A vector with estimated values.</dd>
<dt>param</dt>
<dd>Value is calculated with parametric or non-parametric method. Because standardized effect sizes may lead to biased conclusions if null values show an asymmetric distribution or deviate from normality, non-parametric effect sizes use probit transformed p-values (Lhotsky et al., 2016).</dd>
<dt>p</dt>
<dd>Boolean indicating whether the p-value should be returned.</dd></dl>

Arguments

Standard Effect Size. — ses

<dl>

<dt>obs</dt>
<dd>A single observed value.</dd>


<dt>est</dt>
<dd>A vector with estimated values.</dd>


<dt>param</dt>
<dd>Value is calculated with parametric or non-parametric method. Because standardized effect sizes may lead to biased conclusions if null values show an asymmetric distribution or deviate from normality, non-parametric effect sizes use probit transformed p-values (Lhotsky et al., 2016).</dd>


<dt>p</dt>
<dd>Boolean indicating whether the p-value should be returned.</dd>

</dl>

ses: Standard Effect Size.

Description

Usage

Value

Arguments

References

Examples