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neatmaps
View on CRAN: Click
here
Download and install neatmaps package within the R console
Install from CRAN:
install.packages("neatmaps")
Install from Github:
library("remotes")
install_github("cran/neatmaps") Install by package version:
library("remotes")
install_version("neatmaps", "2.1.0") Attach the package and use:
library("neatmaps")
Maintained by
Philippe Boileau
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-08-06
Latest Update: 2019-05-12
Description:
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.
How to cite:
Philippe Boileau (2017). neatmaps: Heatmaps for Multiple Network Data. R package version 2.1.0, https://cran.r-project.org/web/packages/neatmaps. Accessed 07 Oct. 2026.
Previous versions and publish date:
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Other R packages that neatmaps depends,
imports, suggests or enhances
Complete documentation for neatmaps
Functions, R codes and Examples using
the neatmaps R package
Some associated functions: aggNodeAttr . calcICLNoPlots . consClustResTable . consensusChangeECDF . consensusClusterNoPlots . consensusECDF . consensusMap . createNetworks . edge_df . getStructureAttr . hierarchy . neatmap . neatmaps . netsDataFrame . network_attr_df . node_attr_df . scaleColumns .
Some associated R codes: aggNodeAttr.R . calcICLNoPlots.R . consClustResTable.R . consensusChangeECDF.R . consensusClusterNoPlots.R . consensusECDF.R . consensusMap.R . createNetworks.R . edge_df.R . getStructuralAttr.R . hierarchy.R . neatmap.R . neatmaps.R . netsDataFrame.R . network_attr_df.R . node_attr_df.R . scaledColumns.R . Full neatmaps package functions and examples
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