standard

Standardize (or normalize) variables in different ways.

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

standard function

<dl><dt>trait</dt>
<dd>A species x traits matrix or data.frame.</dd>
<dt>method</dt>
<dd>One of "standard" (standardize to mean = 0 and sd = 1, i.e., use z-score), "range" (rescale with range 0-1), or "rank" (rescale with range 0-1 after ranking).</dd>
<dt>convert</dt>
<dd>A vector of column numbers to be standardized. If NULL all will be standardized.</dd></dl>

Arguments

Standardize variables. — standard

<dl>

<dt>trait</dt>
<dd>A species x traits matrix or data.frame.</dd>


<dt>method</dt>
<dd>One of "standard" (standardize to mean = 0 and sd = 1, i.e., use z-score), "range" (rescale with range 0-1), or "rank" (rescale with range 0-1 after ranking).</dd>


<dt>convert</dt>
<dd>A vector of column numbers to be standardized. If NULL all will be standardized.</dd>

</dl>

standard: Standardize variables.

Description

Usage

Value

Arguments

Details

Examples