predAccuracy: A function for accuracy assessment between an array of two...

In soilassessment: Assessment Models for Agriculture Soil Conditions and Crop Suitability

A function for accuracy assessment between an array of two variables

Description

This function calculates statistical indices for accuracy between an array of two variables such as calibration and validation vectors. The indices are Bias, RMSE, R-squared, and NSE

Usage

predAccuracy(x,y)

Arguments

x	a numeric vector of first variable of the two variables for accuracy assessment
y	a numeric vector of second variable of the two variables for accuracy assessment

Details

The function calculates four indices for accuracy: bias, root mean square error (RMSE), r-squared, Nash-sutcliffe efficiency (NSE)

Value

A table of four variables: bias, RMSE, Rsquared, and NSE

Author(s)

Christian Thine Omuto

References

Becker, R. A., Chambers, J. M. and Wilks, A. R. 1988. The New S Language. Wadsworth & Brooks/Cole.

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

See Also

predUncertain, featureRep

Examples

xy=data.frame(a=c(2,3,4,5,6,7,8,9),b=c(1,1.5,8,10,12,3.5,NA,18))
predAccuracy(xy$a,xy$b)$Rsquared

soilassessment documentation built on July 9, 2023, 7:40 p.m.