ComputeError: Compute error
In rEDM: Empirical Dynamic Modeling ('EDM')
ComputeError R Documentation
Compute error
Description
ComputeError evaluates the Pearson correlation
coefficient, mean absolute error and root mean square error between two
numeric vectors.
Usage
ComputeError(obs, pred)
Arguments
obs
vector of observations.
pred
vector of predictions.
Value
A name list with components:
rho Pearson correlation
MAE mean absolute error
RMSE root mean square error
Examples
data(block_3sp)
smplx <- Simplex( dataFrame=block_3sp, lib="1 99", pred="105 190", E=3,
columns="x_t", target="x_t")
err <- ComputeError( smplx$Observations, smplx$Predictions )
rEDM documentation built on May 29, 2024, 12:02 p.m.
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| ComputeError | R Documentation |
Compute error
Description
ComputeError evaluates the Pearson correlation
coefficient, mean absolute error and root mean square error between two
numeric vectors.
Usage
ComputeError(obs, pred)
Arguments
obs |
vector of observations. |
pred |
vector of predictions. |
Value
A name list with components:
| rho | Pearson correlation |
| MAE | mean absolute error |
| RMSE | root mean square error |
Examples
data(block_3sp)
smplx <- Simplex( dataFrame=block_3sp, lib="1 99", pred="105 190", E=3,
columns="x_t", target="x_t")
err <- ComputeError( smplx$Observations, smplx$Predictions )
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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