get_colours

Utility function to return either a distinct colour-blind friendly colour
for each variable or if a functional grouping is specified, then shades of
the same colour for variables within a functional group

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

get_colours function

<dl><dt>vars</dt>
<dd>Either a numeric value `n` to get n colours, or a character
vector of values where each value will be mapped to a colour.</dd>
<dt>FG</dt>
<dd>A character vector describing the functional grouping to which each
variable belongs. Variables within the same group will have
different shades of the same colour.</dd></dl>

Arguments

Return colour-blind friendly colours — get_colours

<dl>

<dt>vars</dt>
<dd>Either a numeric value `n` to get n colours, or a character
vector of values where each value will be mapped to a colour.</dd>


<dt>FG</dt>
<dd>A character vector describing the functional grouping to which each
variable belongs. Variables within the same group will have
different shades of the same colour.</dd>

</dl>

get_colours: Return colour-blind friendly colours

Description

Usage

Value

Arguments

Examples