SqErr: Calculate the squared error between forecast and observation
In SpecsVerification: Forecast Verification Routines for Ensemble Forecasts of Weather and Climate
Description
Usage
Arguments
Value
See Also
Examples
Description
Calculate the squared error between forecast and observation
Usage
1
Arguments
fcst
a N-vector representing N time instances of real-valued forecasts
obs
a N-vector representing N time instances of real-valued observations
Value
numeric N-vector of squared errors
See Also
AbsErr, ScoreDiff, SkillScore
Examples
1
2
Example output
[1] 0.06256669
SpecsVerification documentation built on March 26, 2020, 7:55 p.m.
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Description Usage Arguments Value See Also Examples
Description
Calculate the squared error between forecast and observation
Usage
1 |
Arguments
fcst |
a N-vector representing N time instances of real-valued forecasts |
obs |
a N-vector representing N time instances of real-valued observations |
Value
numeric N-vector of squared errors
See Also
AbsErr, ScoreDiff, SkillScore
Examples
1 2 |
Example output
[1] 0.06256669
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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