Package 'openair'

modStats 73DetailsValuerank.namethose categories/levels will be used directly. This offers great flexibility for understandingthe variation of different variables and how they depend on oneanother.More than one type can be considered e.g. type = c("season", "weekday")will produce statistics split by season and day of the week.Simple model ranking can be carried out if rank.name is supplied. rank.namewill generally refer to a column representing a model name, which is to ranked.The ranking is based the Index of Agreement performance, as that indicator isarguably the best single model performance indicator available.... Other aruments to be passed to cutData e.g. hemisphere = "southern"This function is under development and currently provides some common model evaluation statistics.These include (to be mathematically defined later):• n, the number of complete pairs of data.• F AC2, fraction of predictions within a factor of two.• MB, the mean bias.• MGE, the mean gross error.• NMB, the normalised mean bias.• NMGE, the normalised mean gross error.• RMSE, the root mean squared error.• r, the Pearson correlation coefficient.• IOA, the Index of Agreement based on Willmott et al. (2011), which spans between -1 and+1 with values approaching +1 representing better model performance.An IOA of 0.5, for example, indicates that the sum of the error-magnitudes is one half of thesum of the observed-deviation magnitudes. When IOA = 0.0, it signifies that the sum of themagnitudes of the errors and the sum of the observed-deviation magnitudes are equivalent.When IOA = -0.5, it indicates that the sum of the error-magnitudes is twice the sum of the perfectmodel-deviation and observed-deviation magnitudes. Values of IOA near -1.0 can meanthat the model-estimated deviations about O are poor estimates of the observed deviations;but, they also can mean that there simply is little observed variability - so some caution isneeded when the IOA approaches -1.All statistics are based on complete pairs of mod and obs.Conditioning is possible through setting type.Returns a data frame with model evaluation statistics.Author(s)David Carslaw