simasd_hamil_df: Simulated Hamiltonian values from HMS algorithm
In CommKern: Network-Based Communities and Kernel Machine Methods
simasd_hamil_df R Documentation
Simulated Hamiltonian values from HMS algorithm
Description
A dataset of Hamiltonian values from simulated group-level networks with
community structure. This dataset is complementary to the simasd_covars
dataset, which contains the demographic information related to this dataset.
For more information on how these group-level networks were simulated, please
refer to the example script titled "beta_simulation_data.set.R".
The variables are as follows:
Usage
simasd_hamil_df
Format
A dataframe with 49 rows and 2 columns:
- id
a generic ID, corresponding to the id variable in simasd_covars
- hamil
Hamiltonian value calculated from running the simulated network through the
HMS algorithm, a numeric value
CommKern documentation built on Sept. 23, 2022, 5:07 p.m.
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| simasd_hamil_df | R Documentation |
Simulated Hamiltonian values from HMS algorithm
Description
A dataset of Hamiltonian values from simulated group-level networks with community structure. This dataset is complementary to the simasd_covars dataset, which contains the demographic information related to this dataset. For more information on how these group-level networks were simulated, please refer to the example script titled "beta_simulation_data.set.R". The variables are as follows:
Usage
simasd_hamil_df
Format
A dataframe with 49 rows and 2 columns:
- id
a generic ID, corresponding to the id variable in simasd_covars
- hamil
Hamiltonian value calculated from running the simulated network through the HMS algorithm, a numeric value
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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