rmse: Root Mean Square Error
In Fgmutils: Forest Growth Model Utilities
Description
Usage
Arguments
Details
References
Description
The root-mean-square error (RMSE) is a frequently used measure of the differences between values (sample and population values) predicted by a model or an estimator and the values actually observed.
Usage
1
rmse(observados, estimados)
Arguments
observados
vector of values observed.
estimados
vector of regression model data.
Details
rmse = sqrt(mean((observados - estimados)^2))
References
See https://en.wikipedia.org/wiki/Root-mean-square_deviation for more details.
Fgmutils documentation built on May 2, 2019, 9:16 a.m.
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Description Usage Arguments Details References
Description
The root-mean-square error (RMSE) is a frequently used measure of the differences between values (sample and population values) predicted by a model or an estimator and the values actually observed.
Usage
1 | rmse(observados, estimados)
|
Arguments
observados |
vector of values observed. |
estimados |
vector of regression model data. |
Details
rmse = sqrt(mean((observados - estimados)^2))
References
See https://en.wikipedia.org/wiki/Root-mean-square_deviation for more details.
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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