rEDM: ComputeError – R documentation

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ComputeError

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

Empirical Dynamic Modeling ('EDM')

v1.10.0

BSD_2_clause + file LICENSE

Authors

Joseph Park [aut, cre] (<https://orcid.org/0000-0001-5411-1409>), Cameron Smith [aut] (<https://orcid.org/0000-0003-0020-5607>), George Sugihara [aut, ccp] (<https://orcid.org/0000-0002-2863-6946>), Ethan Deyle [aut] (<https://orcid.org/0000-0001-8704-8434>), Erik Saberski [ctb] (<https://orcid.org/0000-0002-6475-6187>), Hao Ye [ctb] (<https://orcid.org/0000-0002-8630-1458>), The Regents of the University of California [cph]

Initial release

2021-12-19