descale_w_objects

A little function to rescale data using vectors of means and sds

internal

Implements a set of distribution modeling methods that are suited to species with small sample sizes (e.g., poorly sampled species or rare species). While these methods can also be used on well-sampled taxa, they are united by the fact that they can be utilized with relatively few data points. More details on the currently implemented methodologies can be found in Drake and Richards (2018) <doi:10.1002/ecs2.2373>, Drake (2015) <doi:10.1098/rsif.2015.0086>, and Drake (2014) <doi:10.1890/ES13-00202.1>.

Brian S. Maitner

S4DM

Small Sample Size Species Distribution Modeling

Robert L. Richards

Ben S. Carlson

John M. Drake

Cory Merow

descale_w_objects function

<dl><dt>data</dt>
<dd>dataframe or matrix for rescaling</dd>
<dt>mean_vector</dt>
<dd>vector of means to use for rescaling. Should be one value for each column in the data</dd>
<dt>sd_vector</dt>
<dd>vector of sds to use for rescaling. Should be one value for each column in the data</dd></dl>

Arguments

Author

Return scaled variables to the original scale using means and SDs — descale_w_objects

<dl>

<dt>data</dt>
<dd>dataframe or matrix for rescaling</dd>


<dt>mean_vector</dt>
<dd>vector of means to use for rescaling. Should be one value for each column in the data</dd>


<dt>sd_vector</dt>
<dd>vector of sds to use for rescaling. Should be one value for each column in the data</dd>

</dl>

descale_w_objects: Return scaled variables to the original scale using means and SDs

Description

Usage

Arguments

Author