.categorical2numeric

Internal function transform categorical variables in a 
data.frame into numeric variables. Mostly used with maxent which cannot 
read character

internal

Functions for species distribution modeling, calibration and evaluation,
ensemble of models, ensemble forecasting and visualization. The package permits to run
consistently up to 10 single models on a presence/absences (resp presences/pseudo-absences)
dataset and to combine them in ensemble models and ensemble projections. Some bench of other
evaluation and visualisation tools are also available within the package.

Maya Gueguen

biomod2

Ensemble Platform for Species Distribution Modeling

Wilfried Thuiller

Damien Georges

Robin Engler

Frank Breiner

Bruno Lafourcade

Remi Patin

Helene Blancheteau

.categorical2numeric function

<dl><dt>df</dt>
<dd>data.frame to be transformed</dd>
<dt>categorical_var</dt>
<dd>the names of categorical variables in df</dd></dl>

Arguments

Transform categorical into numeric variables — .categorical2numeric

<dl>

<dt>df</dt>
<dd>data.frame to be transformed</dd>


<dt>categorical_var</dt>
<dd>the names of categorical variables in df</dd>

</dl>

Transform categorical into numeric variables

.categorical2numeric: Transform categorical into numeric variables

Description

Usage

Value

Arguments