group_prop

Combine variable proportions into groups

Statistical models fit to compositional data are often difficult to interpret due to the sum to 1 constraint on data variables. 'DImodelsVis' provides novel visualisations tools to aid with the interpretation of models fit to compositional data. All visualisations in the package are created using the 'ggplot2' plotting framework and can be extended like every other 'ggplot' object.

Rishabh Vishwakarma

DImodelsVis

Visualising and Interpreting Statistical Models Fit to
Compositional Data

Caroline Brophy

Laura Byrne

Catherine Hurley

group_prop function

<dl><dt>data</dt>
<dd>A data frame containing the compositional variables which need to
be grouped.</dd>
<dt>prop</dt>
<dd>A character/numeric vector indicating the columns containing the
compositional variables in `data`.</dd>
<dt>FG</dt>
<dd>A character vector of same length as `prop` specifying the group
each variable belongs to.</dd></dl>

Arguments

Combine variable proportions into groups — group_prop

<dl>

<dt>data</dt>
<dd>A data frame containing the compositional variables which need to
be grouped.</dd>


<dt>prop</dt>
<dd>A character/numeric vector indicating the columns containing the
compositional variables in `data`.</dd>


<dt>FG</dt>
<dd>A character vector of same length as `prop` specifying the group
each variable belongs to.</dd>

</dl>

group_prop: Combine variable proportions into groups

Description

Usage

Value

Arguments

Examples