SAE: Calculate the sum of the absolute 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
SAE calculates the sum of the absolute difference between two values
(predicted and actual), or the SAE. Any observations or predicted values that
are NA are removed.
Usage
1
SAE(y, ymod)
Arguments
y
the actual (observed) value
ymod
the modelled (predicted) value
Value
a single value of the SAE
See Also
AndyClifton/PowerPerformance documentation built on May 5, 2019, 6 a.m.
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.
Description Usage Arguments Value See Also
Description
SAE calculates the sum of the absolute difference between two values
(predicted and actual), or the SAE. Any observations or predicted values that
are NA are removed.
Usage
1 | SAE(y, ymod)
|
Arguments
y |
the actual (observed) value |
ymod |
the modelled (predicted) value |
Value
a single value of the SAE
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.