nashS: Calculates the (weighted) Nash Suttcliffe Efficiency...

In tiger: TIme series of Grouped ERrors

Description

Calculates the Nash Suttcliffe Efficiency coefficient.

Usage

nashS(modelled, measured, weigth = NA)
nashS_HF(modelled, measured, weigth = NA)

Arguments

modelled	Vector with modeled data
measured	Vector with measured data
weigth	If this vector is supplied, each data point is weighted accordingly

Details

The weighting corresponds to the value in the empirical cumulative distribution function.

Value

Returns a scalar between -Inf and 1 corresponding to the agreement between measured and modelled data. 0 means the model agrees equally well as the mean value.

Author(s)

Dominik Reusser

References

http://en.wikipedia.org/wiki/Nash-Sutcliffe_efficiency_coefficient

Examples

     ref.peak <- synth.peak(rise.factor=2, recession.const=0.02)
     peak <- synth.peak(rise.factor=2, recession.const=0.03)
     nashS(modelled=peak, measured=ref.peak)

Example output

Loading required package: e1071
Loading required package: hexbin
Loading required package: qualV
Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
Loading required package: klaR
Loading required package: MASS
Loading required package: som
          [,1]
[1,] 0.8906127

tiger documentation built on May 2, 2019, 2:22 a.m.