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3.5.2.30 mbe
Description
mbe (Mean-Bias-Error) function returns the mean bias error between pridiction and observation vector.
The mbe value between a prediction dataset y of n values \(\{x_1, \ x_2,..., \ x_n\}\) and an observation dataset x \(\{y_1, \ y_2,..., \ y_n\}\), is given by:
\[MBE = \frac{\sum_{i=1}^{n} (x_i-y_i)}{n}\]
Syntax
double mbe(dataset vobs, dataset vpred)
Parameters
vobs
- Input, obsevation vector.
vpred
- Input, prediction vector.
Return
Return the mean bias error of a vector.
Note: Missing data, masked data and text in vobs and vpred won't be counted.
Example
//Calculate the mean bias error of column A and B yr = mbe(col(A),col(B));