node_attr_df

<p>A dataset containing randomly generated node attributes for each node in each
of the ten networks. Attributes A and B have a correlation of roughly 0.8, A
and C have a correlation of roughly -0.2, B and C have a correlation of
roughly 0.5. Attributes D and E were generated completely randomly, and
should not be strongly correlated with any of the other attributes.</p>

datasets

Simplify the exploratory data analysis process for multiple network
data sets with the help of hierarchical clustering, consensus
clustering and heatmaps. Multiple network data consists of multiple
disjoint networks that have common variables (e.g. ego networks).
This package contains the necessary tools for exploring such data,
from the data pre-processing stage to the creation of dynamic
visualizations.

Philippe Boileau

neatmaps

Heatmaps for Multiple Network Data

node_attr_df function

<p>An object of class <code>data.frame</code> with 10 rows and 25 columns.</p>

node_attr_df: Node Attribute Data

Description

Usage

Arguments

Format