SPE: Calculate the sum of the positive error for a data set
In AndyClifton/PowerPerformance: Package to analyze wind resource and wind turbine data (developer test version)
Description
Usage
Arguments
Value
See Also
Description
SPE calculates the sum of the positive difference between two values
(actual - predicted), or the SPE. Any observations or predicted values that
are NA are removed. This can be considered the sum of the underprediction
Usage
1
SPE(y, ymod)
Arguments
y
the actual (observed) value
ymod
the modelled (predicted) value
Value
a single value of the SPE
See Also
AndyClifton/PowerPerformance documentation built on May 5, 2019, 6 a.m.
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Description Usage Arguments Value See Also
Description
SPE calculates the sum of the positive difference between two values
(actual - predicted), or the SPE. Any observations or predicted values that
are NA are removed. This can be considered the sum of the underprediction
Usage
1 | SPE(y, ymod)
|
Arguments
y |
the actual (observed) value |
ymod |
the modelled (predicted) value |
Value
a single value of the SPE
See Also
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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