save_statistics_per_random

This function provides a secured way to save statistics_per_random
dataframe.
The more generic functionprovided by TAD <code>save_depending_on_format</code> expects
saves object using their name, but saves nothing if the provided name is not
correct, or mya even save an unwanted object.
This function provides a way to verify the object you want to save, and so,
it is more secured.

This analytical framework is based on an analysis of the shape of the trait abundance distributions to better understand community assembly processes, and predict community dynamics under environmental changes. This framework mobilized a study of the relationship between the moments describing the shape of the distributions: the skewness and the kurtosis (SKR). The SKR allows the identification of commonalities in the shape of trait distributions across contrasting communities. Derived from the SKR, we developed mathematical parameters that summarise the complex pattern of distributions by assessing (i) the R², (ii) the Y-intercept, (iii) the slope, (iv) the functional stability of community (TADstab), and, (v) the distance from specific distribution families (i.e., the distance from the skew-uniform family a limit to the highest degree of evenness: TADeve).

Lain Pavot

Realize the Trait Abundance Distribution

Nathan Rondeau

Yoann Le Bagousse-Pinguet

Raphael Martin

Pierre Liancourt

Nicolas Gross

INRAe/UREP 

save_statistics_per_random function

<dl><dt>path</dt>
<dd>the path of the file to load</dd>
<dt>object</dt>
<dd>the object to save</dd></dl>

Arguments

save_statistics_per_random — save_statistics_per_random

<dl>

<dt>path</dt>
<dd>the path of the file to load</dd>


<dt>object</dt>
<dd>the object to save</dd>

</dl>

save_statistics_per_random: save_statistics_per_random

Description

Usage

Value

Arguments