measure.rmse: Root mean square error
In SantanderMetGroup/VALUE: Climate data validation in the framework of the COST action VALUE
measure.rmse R Documentation
Root mean square error
Description
Function to compute the root mean square error between the observed and predicted time series.
Usage
measure.rmse(indexObs = NULL, indexPrd = NULL, obs = NULL, prd = NULL, dates)
Arguments
indexObs
index computed from the observations
indexPrd
index computed from the predictions
obs
A vector of observations
prd
A vector of predictions
dates
dates
Value
A float number corresponding to the root mean square error between the predicted and observed series.
Author(s)
Daniel San-MartÃn, J. Bedia, S. Herrera
SantanderMetGroup/VALUE documentation built on July 8, 2023, 7:03 a.m.
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| measure.rmse | R Documentation |
Root mean square error
Description
Function to compute the root mean square error between the observed and predicted time series.
Usage
measure.rmse(indexObs = NULL, indexPrd = NULL, obs = NULL, prd = NULL, dates)
Arguments
indexObs |
index computed from the observations |
indexPrd |
index computed from the predictions |
obs |
A vector of observations |
prd |
A vector of predictions |
dates |
dates |
Value
A float number corresponding to the root mean square error between the predicted and observed series.
Author(s)
Daniel San-MartÃn, J. Bedia, S. Herrera
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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