compute_rmse: Compute Root Mean Squared Error
In JohnNay/sa: Sensitivity Analysis for Complex Computational Models
Description
Usage
Arguments
Value
Examples
Description
Compute Root Mean Squared Error
Usage
1
compute_rmse(prediction, actual)
Arguments
prediction
Numeric vector same length as actual
actual
Numeric vector same length as prediction
Value
Numeric vector length one
Examples
1
2
3
compute_rmse(1:10, 1:10)
compute_rmse(1:10, c(1:9, 1))
compute_rmse(rnorm(10), rnorm(10))
JohnNay/sa documentation built on May 7, 2019, 12:01 p.m.
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Description Usage Arguments Value Examples
Description
Compute Root Mean Squared Error
Usage
1 | compute_rmse(prediction, actual)
|
Arguments
prediction |
Numeric vector same length as actual |
actual |
Numeric vector same length as prediction |
Value
Numeric vector length one
Examples
1 2 3 | compute_rmse(1:10, 1:10)
compute_rmse(1:10, c(1:9, 1))
compute_rmse(rnorm(10), rnorm(10))
|
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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