GOF | R Documentation |
Good of fitting
GOF(Y_obs, Y_sim, w, include.r = TRUE, include.cv = FALSE)
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. |
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
Zhang Xiaoyang (2015), http://dx.doi.org/10.1016/j.rse.2014.10.012
Y_obs = rnorm(100) Y_sim = Y_obs + rnorm(100)/4 GOF(Y_obs, Y_sim)
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