# NOT RUN {
sim <- 1:10
obs <- 1:10
gof(sim, obs)
sim <- 2:11
obs <- 1:10
gof(sim, obs)
##################
# Loading daily streamflows of the Ega River (Spain), from 1961 to 1970
data(EgaEnEstellaQts)
obs <- EgaEnEstellaQts
# Generating a simulated daily time series, initially equal to the observed series
sim <- obs
# Getting the numeric goodness of fit for the "best" (unattainable) case
gof(sim=sim, obs=obs)
# Randomly changing the first 2000 elements of 'sim', by using a normal distribution
# with mean 10 and standard deviation equal to 1 (default of 'rnorm').
sim[1:2000] <- obs[1:2000] + rnorm(2000, mean=10)
# Getting the new numeric goodness of fit
gof(sim=sim, obs=obs)
# Storing a matrix object with all the GoFs:
g <- gof(sim, obs)
# Getting only the RMSE
g[4,1]
g["RMSE",]
# }
# NOT RUN {
# Writing all the GoFs into a TXT file
write.table(g, "GoFs.txt", col.names=FALSE, quote=FALSE)
# Getting the graphical representation of 'obs' and 'sim' along with the
# numeric goodness of fit
ggof(sim=sim, obs=obs)
# }
# NOT RUN {
# }
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