an object of class numeric within a list (if tidy = FALSE) or within a
data frame (if tidy = TRUE).
Arguments
data
(Optional) argument to call an existing data frame containing the data.
obs
Vector with observed values (numeric).
pred
Vector with predicted values (numeric).
tidy
Logical operator (TRUE/FALSE) to decide the type of return. TRUE
returns a data.frame, FALSE returns a list; Default : FALSE.
na.rm
Logic argument to remove rows with missing values
(NA). Default is na.rm = TRUE.
Details
Similar to d, the d1 index it is a normalized, dimensionless metric that tests general agreement.
The difference with d, is that d1 uses absolute residuals instead of squared residuals. It is bounded between 0 and 1.
The disadvantage is that d is an asymmetric index, that is, dependent to the orientation of
predicted and observed values.
For the formula and more details, see online-documentation
References
Willmott et al. (1985).
Statistics for the evaluation and comparison of models.
J. Geophys. Res. 90, 8995. tools:::Rd_expr_doi("10.1029/jc090ic05p08995")