d1 | R Documentation |
It estimates the modified index of agreement (d1) using absolute differences following Willmott et al. (1985).
d1(data = NULL, obs, pred, tidy = FALSE, na.rm = TRUE)
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. |
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
an object of class numeric
within a list
(if tidy = FALSE) or within a
data frame
(if tidy = TRUE).
Willmott et al. (1985). Statistics for the evaluation and comparison of models. J. Geophys. Res. 90, 8995. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1029/jc090ic05p08995")}
set.seed(1)
X <- rnorm(n = 100, mean = 0, sd = 10)
Y <- rnorm(n = 100, mean = 0, sd = 9)
d1(obs = X, pred = Y)
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