Calculates mean absolute error (MAE) between modeled (simulated) and observed values. Error is defined as modeled minus observed.
GOF_mean_absolute_error(mod, obs, na.rm =TRUE)
Arguments
mod: 'numeric' vector. Modeled or simulated values. Must be same length as obs.
obs: 'numeric' vector. Observed or comparison values. Must be same length as mod.
na.rm: 'boolean' TRUE or FALSE. Should NA values be removed before computing. If any NA values are present in mod or obs, the ith position from each will be removed before calculating. If NA values are present and na.rm = FALSE, then function will return NA. Default is TRUE.
Returns
Value of calculated mean absolute error (MAE).
Details
The absolute value of each modeled-observed pair error is calculated, then the mean of those values taken. Values returned are in units of input data.