nrmse: Calculate the normalized root-mean-square error of two data...
In DanielKneipp/DNAr: Simulates chemical reaction networks constructed with DNA
nrmse R Documentation
Calculate the normalized root-mean-square error of two data sets
Description
Use this function to calculate the normalized root-mean-square error
(NRMSE) of two data sets. In this measures, a distinction between the
data sets is needed since the normalization is made using only one of
the data sets. For convention, one of the data sets is called simulated
data set, and the other one is called observed data set.
Usage
nrmse(sim_data, obs_data)
Arguments
sim_data
The simulated data set
obs_data
The observed data set (used in the normalization)
Value
The NRMSE measure.
DanielKneipp/DNAr documentation built on Jan. 7, 2023, 12:42 p.m.
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| nrmse | R Documentation |
Calculate the normalized root-mean-square error of two data sets
Description
Use this function to calculate the normalized root-mean-square error (NRMSE) of two data sets. In this measures, a distinction between the data sets is needed since the normalization is made using only one of the data sets. For convention, one of the data sets is called simulated data set, and the other one is called observed data set.
Usage
nrmse(sim_data, obs_data)
Arguments
sim_data |
The simulated data set |
obs_data |
The observed data set (used in the normalization) |
Value
The NRMSE measure.
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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