AC: Ji and Gallo's Agreement Coefficient (AC)

In metrica: Prediction Performance Metrics

Ji and Gallo's Agreement Coefficient (AC)

Description

It estimates the agreement coefficient suggested by Ji & Gallo (2006) for a continuous predicted-observed dataset.

Usage

AC(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 Ji and Gallo's AC measures general agreement, including both accuracy and precision. It is normalized, dimensionless, positively bounded (-infinity;1), and symmetric. 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

Ji & Gallo (2006). An agreement coefficient for image comparison. Photogramm. Eng. Remote Sensing 7, 823–833 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.14358/PERS.72.7.823")}

Examples

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

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