optimalSensor.uncertainties
Provide error uncertaities for an optimal sensor
Syntax
Description
Provide error variances for an optimal sensor. The uncertainties should be a numeric vector with one element per observation site. The variances cannot be negative and cannot contain NaN values.
Provide error covariances for an optimal sensor. The unceratinties should be a symmetric matrix with one row and one column per site. The matrix cannot contain NaN values, and the diagonal elements (the error variances) cannot be negative.
Returns the current R uncertainties for an optimal sensor object.
obj = obj.uncertainties(‘delete’)
Deletes the current R error uncertainties from the optimal sensor object.
Input Arguments
Rvar
numeric vector [nSite]
Error variances for the observation sites. Must have one row per site. Elements cannot be negative and cannot be NaN.
Rcov
numeric matrix [nSite x nSite]
Error covariances for the observation sites. Must have one row and one column per site. Must be a symmetric matrix and may not contain NaN. The diagonal elements cannot be negative.
Output Arguments
obj
scalar optimalSensor object
The optimal sensor with updated uncertainties.
Rvar
numeric column vector [nSite x 1] | []
The current uncertaintiy variances for the optimal sensor. If there are no uncertainties, returns an empty array.
Rcov
numeric matrix [nSite x nSite] | []
The current error covariances for the optimal sensor. If there are no uncertainties, returns an empty array.