dhist_from_obs_slow: Discrete histogram from observations (Pure R slow version)
In alan-turing-institute/network-comparison: An implementation of the NetEMD alignment-free network distance measure
dhist_from_obs_slow R Documentation
Discrete histogram from observations (Pure R slow version)
Description
Generate a sparse discrete histogram from a set of discrete numeric observations
Usage
dhist_from_obs_slow(observations)
Arguments
observations
A vector of discrete numeric observations
Value
A sparse discrete histogram. Format is a dhist object, which
is a list of class dhist with the following named elements:
-
locations: A 1D numeric vector of discrete locations
-
masses: A 1D numeric vector of the mass present at each location
alan-turing-institute/network-comparison documentation built on June 7, 2022, 10:41 p.m.
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| dhist_from_obs_slow | R Documentation |
Discrete histogram from observations (Pure R slow version)
Description
Generate a sparse discrete histogram from a set of discrete numeric observations
Usage
dhist_from_obs_slow(observations)
Arguments
observations |
A vector of discrete numeric observations |
Value
A sparse discrete histogram. Format is a dhist object, which
is a list of class dhist with the following named elements:
-
locations: A 1D numeric vector of discrete locations -
masses: A 1D numeric vector of the mass present at each location
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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