categorical_pal

This is a color blind friendly palette from
<a href="https://jfly.uni-koeln.de/color/">https://jfly.uni-koeln.de/color/</a>. It has 8 colors.

Routines for simple graphs and network analysis. It can
handle large graphs very well and provides functions for generating random
and regular graphs, graph visualization, centrality methods and much more.

Tam<c3><a1>s Nepusz

igraph

Network Analysis and Visualization

categorical_pal function

<dl><dt>n</dt>
<dd>The number of colors in the palette. We simply take the first
<code>n</code> colors from the total 8.</dd></dl>

Arguments

<pre><code>
library(igraphdata)
data(karate)
karate &lt;- karate 
 add_layout_(with_fr()) 
 set_vertex_attr("size", value = 10)</code></pre>cl_k &lt;- cluster_optimal(karate)V(karate)$color &lt;- membership(cl_k)
karate$palette &lt;- categorical_pal(length(cl_k))
plot(karate)

Examples

This is a color blind friendly palette from
<a href='https://jfly.uni-koeln.de/color/'>https://jfly.uni-koeln.de/color/</a>. It has 8 colors.

Palette for categories — categorical_pal

<dl>

<dt>n</dt>
<dd>The number of colors in the palette. We simply take the first
<code>n</code> colors from the total 8.</dd>

</dl>

<pre><code>
library(igraphdata)
data(karate)
karate &lt;- karate 
 add_layout_(with_fr()) 
 set_vertex_attr("size", value = 10)

cl_k &lt;- cluster_optimal(karate)

V(karate)$color &lt;- membership(cl_k)
karate$palette &lt;- categorical_pal(length(cl_k))
plot(karate)
</code></pre>

categorical_pal: Palette for categories

Description

Usage

Value

Arguments

Examples

Details

See Also