e

0th

Percentile

e

Calculates the Nash-Sutcliffe modelling efficiency (E) from observed and predicted values.

Usage
e(o, p)
Arguments
o

A numeric vector. Observed values.

p

A numeric vector. Predicted values.

Details

Interpretation: a value of 1 means that all predicted values are equal to the observed values. A value of 0 means that the predictions explain as much of the variation in the observed values as the mean of the observed values does. A negative value means that the predictions are less accurate the mean of the observed values.

Value

Nash-Sutcliffe modelling efficiency (E).

References

Nash, J. E., & Sutcliffe, J. V. (1970). River flow forecasting through conceptual models part I. A discussion of principles. Journal of hydrology, 10(3), 282-290.

Piikki K., Wetterlind J., Soderstrom M., Stenberg B. (2021). Perspectives on validation in digital soil mapping of continuous attributes. A review. Soil Use and Management. 10.1111/sum.12694

Wilks D. S. (2011) Statistical Methods in the Atmospheric Sciences, Academic Press, Oxford, UK.

Aliases
  • e
Examples
# NOT RUN {
obs<-c(1:10)
pred<-c(1, 1 ,3, 2, 4, 5, 6, 8, 7, 10)
e(o=obs, p=pred)

# }
Documentation reproduced from package valmetrics, version 1.0.0, License: MIT + file LICENSE

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