d: Willmott's Index of Agreement (d)

In metrica: Prediction Performance Metrics

Willmott's Index of Agreement (d)

Description

It estimates the Willmott's index of agreement (d) for a continuous predicted-observed dataset.

Usage

d(data = NULL, obs, pred, tidy = FALSE, na.rm = 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

The d index it is a normalized, dimensionless metric that tests general agreement. It measures both accuracy and precision using squared residuals. It is bounded between 0 and 1. The disadvantage is that d is an asymmetric index, that is, dependent to what is orientation of predicted and observed values. For the formula and more details, see online-documentation

Value

an object of class numeric within a list (if tidy = FALSE) or within a ⁠data frame⁠ (if tidy = TRUE).

References

Willmott (1981). On the validation of models. Phys. Geogr. 2, 184–194. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1080/02723646.1981.10642213")}

Examples

set.seed(1)
X <- rnorm(n = 100, mean = 0, sd = 10)
Y <- rnorm(n = 100, mean = 0, sd = 9)
d(obs = X, pred = Y)

metrica documentation built on June 30, 2024, 5:07 p.m.