GOF {phenofit}

GOF

Description

Good of fitting

Usage

GOF(Y_obs, Y_sim, w, include.r = TRUE, include.cv = FALSE)

Arguments

Y_obs

Numeric vector, observations

Y_sim

Numeric vector, corresponding simulated values

w

Numeric vector, weights of every points. If w included, when calculating mean, Bias, MAE, RMSE and NSE, w will be taken into considered.

include.r

If true, r and R2 will be included.

include.cv

If true, cv will be included.

Value

• RMSE root mean square error

• NSE NASH coefficient

• MAE mean absolute error

• AI Agreement index (only good points (w == 1)) participate to calculate. See details in Zhang et al., (2015).

• Bias bias

• Bias_perc bias percentage

• n_sim number of valid obs

• cv Coefficient of variation

• R2 correlation of determination

• R pearson correlation

• pvalue pvalue of R

References

Zhang Xiaoyang (2015), http://dx.doi.org/10.1016/j.rse.2014.10.012

Examples

Y_obs = rnorm(100)
Y_sim = Y_obs + rnorm(100)/4
GOF(Y_obs, Y_sim)