.str.sample

internal

Randomization of presence/absence species distribution raster
data with or without including spatial structure for calculating
standardized effect sizes and testing null hypothesis. The
randomization algorithms are based on classical algorithms for
matrices (Gotelli 2000, <doi:10.2307/177478>) implemented for raster
data.

Neander Marcel Heming

SESraster

Raster Randomization for Null Hypothesis Testing

Gabriela Alves-Ferreira

.str.sample function

<dl><dt>x</dt>
<dd>vector containing sample size (i.e. richness) in the first element
and probabilities on the remaining</dd>
<dt>sp</dt>
<dd>elements to be sampled</dd>
<dt>resu</dt>
<dd>vector of results, must be the same length of sp</dd>
<dt>fr_prob</dt>
<dd>Frequency or probability of each sp element. This will be multiplied by the
probability vector</dd></dl>

Arguments

Author

Vectorized structured sample — .str.sample

<dl>

<dt>x</dt>
<dd>vector containing sample size (i.e. richness) in the first element
and probabilities on the remaining</dd>


<dt>sp</dt>
<dd>elements to be sampled</dd>


<dt>resu</dt>
<dd>vector of results, must be the same length of sp</dd>


<dt>fr_prob</dt>
<dd>Frequency or probability of each sp element. This will be multiplied by the
probability vector</dd>

</dl>

.str.sample: Vectorized structured sample

Description

Usage

Value

Arguments

Author