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 /math-3a0e244132c36c88b17e1f6d1a395d6a.png "\{x_1, \ x_2,..., \ x_n\}")
and an observation dataset x /math-3b0946722de35e12b5a87e34d0bf6202.png "\{y_1, \ y_2,..., \ y_n\}")
, is given by:
/math-4f0f16c379a3a6b47c3c830a7b41e441.png "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));