network_attr_df

<p>A data set containing four randomly generated variables used to mimic the 
network attributes of ten different networks. Attribute 1 and 2 have a 
correlation of 0.41, 1 and 3 have a correlation of 0.91, 1 and 4 have a
correlation of 0.34, 2 and 3 have a correlation of 0.07, 2 and 4 have a
correlation of 0.17 and 3 and 4 have a correlation of 0.32.</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

network_attr_df function

<p>An object of class <code>data.frame</code> with 10 rows and 4 columns.</p>

network_attr_df: Network Attributes Data

Description

Usage

Arguments

Format