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rsetse
View on CRAN: Click
here
Download and install rsetse package within the R console
Install from CRAN:
install.packages("rsetse")
Install from Github:
library("remotes")
install_github("cran/rsetse")
Install by package version:
library("remotes")
install_version("rsetse", "0.5.0")
Attach the package and use:
library("rsetse")
Maintained by
Jonathan Bourne
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.rsetse . rsetse citation info . rsetse results . rsetse.pdf . rsetse_0.5.0.tar.gz . rsetse_0.5.0.zip . rsetse_0.5.0.zip . rsetse_0.5.0.zip . rsetse_0.5.0.tgz . rsetse_0.5.0.tgz . rsetse_0.5.0.tgz . rsetse_0.5.0.tgz . rsetse_0.5.0.tgz . rsetse_0.5.0.tgz . rsetse archive . https://CRAN.R-project.org/package=rsetse .
First Published: 2020-11-12
Latest Update: 2021-06-11
Description:
An R implementation for the Strain Elevation and
Tension embedding algorithm from Bourne (2020)
. The package embeds graphs and
networks using the Strain Elevation and Tension embedding (SETSe)
algorithm. SETSe represents the network as a physical system, where
edges are elastic, and nodes exert a force either up or down based on
node features. SETSe positions the nodes vertically such that the
tension in the edges of a node is equal and opposite to the force it
exerts for all nodes in the network. The resultant structure can then
be analysed by looking at the node elevation and the edge strain and
tension. This algorithm works on weighted and unweighted networks as
well as networks with or without explicit node features. Edge
elasticity can be created from existing edge weights or kept as a
constant.
How to cite:
Jonathan Bourne (2020). rsetse: Strain Elevation Tension Spring Embedding. R package version 0.5.0, https://cran.r-project.org/web/packages/rsetse. Accessed 26 Mar. 2025.
Previous versions and publish date:
0.4.0 (2020-11-12 10:30)
Other packages that cited rsetse R package
View rsetse citation profile
Other R packages that rsetse depends,
imports, suggests or enhances
Complete documentation for rsetse
Functions, R codes and Examples using
the rsetse R package
Some associated functions: biconnected_network . calc_spring_area . calc_spring_constant . calc_tension_strain . calc_tension_strain_hd . create_balanced_blocks . create_node_edge_df . create_node_edge_df_hd . generate_peels_network . mass_adjuster . pipe . prepare_categorical_force . prepare_continuous_force . prepare_edges . remove_small_components . setse . setse_auto . setse_auto_hd . setse_bicomp . setse_expanded . setse_shift . tidyeval .
Some associated R codes: biconnected_network.R . calc_spring_area.R . calc_spring_constant.R . calc_tension_strain.R . calc_tension_strain_hd.R . create_balanced_blocks.R . create_node_edge_df.R . create_node_edge_df_hd.R . create_stabilised_blocks.R . fix_elevation_to_origin.R . force_v_from_angle.R . generate_peels_network.R . generate_peels_network_internal.R . mass_adjuster.R . prepare_categorical_force.R . prepare_continuous_force.R . prepare_edges.R . remove_articulation_duplicates.R . remove_small_components.R . setse.R . setse_auto.R . setse_auto_hd.R . setse_bicomp.R . setse_core.R . setse_core_expanded.R . setse_core_hd.R . setse_core_time_shift.R . setse_core_time_shift_hd.R . setse_data_prep.R . setse_data_prep_hd.R . setse_expanded.R . setse_shift.R . two_node_solution.R . utils_pipe.R . utils_tidy_eval.R . zzz.R . Full rsetse package functions and examples
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